Accepted papers
Certifications. Accepted TMLR papers can be awarded a number of certifications by the action editors or editors-in-chief of TMLR. The current list of awarded certificates is (click on the badges to see the papers with the certification):
- Featured This certification may be awarded to papers that are very high quality. These papers present significant contributions which are novel, clearly explained, and well supported with evidence, theory, or analysis. If this paper was submitted to a top-tier conference, it would likely be presented as an oral/spotlight.
- Reproducibility This is awarded to papers whose primary purpose is reproduction of other published work. Beyond simple verification, the paper must contribute significant added value through additional baselines, analysis, ablations, or insights.
- Survey The Survey Certificate is awarded to papers that not only meet the criteria for acceptance but also provide an exceptionally thorough or insightful survey of the topic or approach may be awarded this certification.
- Expert The Expert Reviewer Certificate is awarded to papers whose authors include at least one TMLR Expert Reviewer.
- Outstanding The editorial board of TMLR jointly awards this certification to papers which are deemed to be exceptionally high quality and broadly significant for the field. The certification may be given well after the paper's initial publication in TMLR (a year or more), and is equivalent to a best paper award at a top-tier conference.
- Journal to Conference Awarded to publications based on responses by teh AE and reviewers, to the question of whether the work would be appropriate for the joint NeurIPS/ICLR/ICML Journal-to-Conference Track. Receiving this selective certification (or the Outstanding/Featured Certifications) enables an opportunity to present in this track at one of these participating conferences. See the track's website for details and the complete list of eligibility criteria.
- Event TMLR papers that are presented at other conferences.
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Gradient-based Sample Selection for Faster Bayesian Optimization
Qiyu Wei, Haowei Wang, Zirui Cao, Songhao Wang, Richard Allmendinger, Mauricio A Álvarez, August 2026
[openreview] [pdf] [bib] [code] -
Conformal Prediction for Generative Models via Adaptive Cluster-Based Density Estimation
Qidong Yang, Qianyu Julie Zhu, Jonathan Giezendanner, Youssef Marzouk, Stephen Bates, Sherrie Wang, August 2026
[openreview] [pdf] [bib] [code] -
Unifying Understanding and Generation in Vision-Language Models: Advances, Challenges, and Opportunities
Xiaocheng Lu, Ziyue Ma, Jie ZHANG, Jian Liu, Song Guo, August 2026
[openreview] [pdf] [bib]
Certifications: Survey -
A Moving-Horizon Approximate Branch-and-Reduce Method for Deep Classification Trees
Chenxuanyin Zou, Jiayang Ren, Qiangqiang Mao, Jing Liu, Marcus Lai, Yankai Cao, August 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Adapting Vision Foundation Models with Cascaded Semantics
Xi Xiao, Xingjian Li, Cheng Han, Tianyang Wang, Lin Zhao, Yunbei Zhang, Guosheng Hu, Runmin Jiang, Xi Li, Xiao Wang, Min Xu, August 2026
[openreview] [pdf] [bib] [code] -
Auditing GeoFM Evaluation for Field-Extent Segmentation: Label Proxies, Baselines, and When Frozen Features Match Fine-tuning
Santosh Pant, August 2026
[openreview] [pdf] [bib] [code] -
Better Models, Faster Training: Sigmoid Attention for single-cell Foundation Models
Vijay Sadashivaiah, George Dasoulas, Judith Mueller, Soumya Ghosh, August 2026
[openreview] [pdf] [bib] [code] -
RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance
Miao Lin, Feng Yu, Rui Ning, Lusi Li, Jiawei Chen, Qian Lou, Mengxin Zheng, Chunsheng Xin, Hongyi Wu, August 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Privacy Leakage via Output Label Space and Differentially Private Continual Learning
Marlon Tobaben, Talal Alrawajfeh, Marcus Klasson, Mikko A. Heikkilä, Arno Solin, Antti Honkela, August 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
FastAvatar: Single-Image 3D Gaussian Face Avatars through Canonical Template and Residual Learning
Hao Liang, Zhixuan Ge, Soumendu Majee, Ashish Tiwari, G.M. Dilshan Godaliyadda, Ashok Veeraraghavan, Guha Balakrishnan, August 2026
[openreview] [pdf] [bib] [code] -
On the Scaling Flaws of Verifier-Guided Beam Search in Mathematical Reasoning
Fei Yu, Yingru Li, Benyou Wang, August 2026
[openreview] [pdf] [bib] -
Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence
Xuanle Zhao, Qiushi Sun, Jingyu Xiao, Xuexin Liu, Haoyue Yang, Qiaosheng Chen, Xianzhen Luo, Jing Huang, Yufeng Zhong, Lei Chen, Shuai Fu, Zhenlin Wei, Jinhe Bi, Lei Jiang, Haibo Qiu, Siqi Yang, Peng Shi, Jian Hu, Zhixiong Zeng, August 2026
[openreview] [pdf] [bib] [code] -
Legal Retrieval for Public Defenders
Dominik Stammbach, Kylie Zhang, Patty Liu, Nimra Nadeem, Inyoung Cheong, Lucia Zheng, Peter Henderson, August 2026
[openreview] [pdf] [bib] [code] -
Aletheia: What Makes RLVR For Code Verifiers Tick?
Vatsal Venkatkrishna, Indraneil Paul, Iryna Gurevych, August 2026
[openreview] [pdf] [bib] [code] -
Auditing Closed-Loop Learning in Recurrent Neural Networks: Reproduction, Robustness, and Generalization
Aarav Sinha, August 2026
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
DeGLIF for Label Noise Robust Node Classification using GNNs
Pintu Kumar, Nandyala Hemachandra, August 2026
[openreview] [pdf] [bib] [code] [video] -
Decomposable Neural Symbolic Regression
Giorgio Morales, John Sheppard, August 2026
[openreview] [pdf] [bib] [code] -
Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory
Zhaotian Gu, Jie SU, Weiwei Wang, Chang Liu, Tianyi Qian, Dahui Wang, August 2026
[openreview] [pdf] [bib] [code] -
Training-Free Pseudo-Fusion for Composed Image Retrieval via Diffusion Models and Multimodal Large Language Models
Fan XU, Luis A. Leiva, August 2026
[openreview] [pdf] [bib] [code] -
A Hierarchical Geometric Observation Interface for Spatial Planning in Reinforcement Learning
Andres R. Zapata Rodriguez, Hongpeng Cao, Raphael Trumpp, Marco Caccamo, August 2026
[openreview] [pdf] [bib] [code] -
Below the Reliability Floor: Recovering True Success from Judge-Gated Loops
Tautik Agrahari, Jeff Joji, August 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Microcanonical Hamiltonian Monte Carlo and the Helmholtz Theorem
Heinrich von Campe, Bjoern Malte Schaefer, August 2026
[openreview] [pdf] [bib] -
On the Role of MLP Layers in Transformer ICL with Categorical Outcomes
Soumya Banerjee, Aaron T Wang, William Convertino, Ozanan Meireles, Guy Rosman, Ricardo Henao, Xiang Cheng, Lawrence Carin, August 2026
[openreview] [pdf] [bib] -
Causal Bayesian Optimization: Foundations, Methods, and Applications
Chenfeng Huang, Thuy T. Le, Zixuan Ma, Hien Tran, August 2026
[openreview] [pdf] [bib] [code] -
Global Linear Convergence of Inexact TD Under Generalized Smoothness
Alokendu Mazumder, Ila Ananta, Punit Rathore, August 2026
[openreview] [pdf] [bib] -
Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Long-Horizon Workflows
Luay Gharzeddine, Samer Saab Jr, August 2026
[openreview] [pdf] [bib] [code] -
GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health
Jiatan Huang, Zheyuan Zhang, Tianyi Ma, Mingchen Li, Yaning Zheng, Yanfang Ye, Chuxu Zhang, August 2026
[openreview] [pdf] [bib] -
Cross-Domain Offline Policy Adaptation via Selective Transition Correction
Mengbei Yan, Jiafei Lyu, Shengjie Sun, Zhongjian Qiao, Jing-Wen Yang, Zichuan Lin, Deheng Ye, Xiu Li, August 2026
[openreview] [pdf] [bib] [code] -
Scene Layout Generation with Rectified Flow
Cameron Braunstein, Hevra Petekkaya, Jan Eric Lenssen, Mariya Toneva, Eddy Ilg, August 2026
[openreview] [pdf] [bib] -
ESLM: Risk-Averse Selective Language Modeling with Hierarchical Batch Selection
Melis Ilayda Bal, Volkan Cevher, Michael Muehlebach, August 2026
[openreview] [pdf] [bib] [code] -
Scaling Agents for Computer Use
Gonzalo Gonzalez-Pumariega, Vincent Tu, Chih-Lun Lee, Jiachen Yang, Ang Li, Xin Eric Wang, August 2026
[openreview] [pdf] [bib] -
A Symmetry-Matching Approach to Blind-Spot Reduction in Sparse Autoencoders
Csaba Balogh, August 2026
[openreview] [pdf] [bib] [code] -
TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting
Lingyu Jiang, Lingyu Xu, Peiran Li, Dengzhe Hou, Qianwen Ge, Dingyi Zhuang, Shuo Xing, Wenjing Chen, Xiangbo Gao, Ting-Hsuan Chen, Xueying Zhan, Xin Zhang, Ziming Zhang, Zhengzhong Tu, Michael Zielewski, Kazunori Yamada, Fangzhou Lin, August 2026
[openreview] [pdf] [bib] [code] -
When Vision Needs a Second Look: Tool-Augmented Active Perception for Earth Observation
Atul Dev, Shivank Garg, Gaurav Kumar Nayak, August 2026
[openreview] [pdf] [bib] -
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Weiyu Chen, Baijiong Lin, Xiaoyuan Zhang, Xi Lin, Han Zhao, Qingfu Zhang, James Kwok, August 2026
[openreview] [pdf] [bib] -
Efficient Image Restoration with State-Dependent Forward Diffusion
Ziwei Luo, Fredrik K. Gustafsson, Jens Sjölund, Thomas B. Schön, August 2026
[openreview] [pdf] [bib] [code] [video] -
TreeSMOTE: Structure-Aware Data Augmentation for Imbalanced Tabular Learning
Peng Wang, Hangting Ye, He Zhao, Jinhan Liu, Dandan Guo, Quan Zhang, August 2026
[openreview] [pdf] [bib] [code] -
WorldPack: Dynamic Frame Compression for Long-context Video World Modeling
Yuta Oshima, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta, August 2026
[openreview] [pdf] [bib] -
TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning
Fangxu Yu, Hongyu Zhao, Tianyi Zhou, August 2026
[openreview] [pdf] [bib] -
A Survey on Hallucination in Video Understanding: Taxonomy, Causes, and Mitigation Techniques
Jiayi Sheng, Wei Luo, Wotao Yin, August 2026
[openreview] [pdf] [bib] -
Exploiting Completeness Perception with Diffusion Transformer for Unified 3D MRI Synthesis
Junkai Liu, Nay Aung, Theodoros N. Arvanitis, Joao A. C. Lima, Steffen E. Petersen, Le Zhang, August 2026
[openreview] [pdf] [bib] [code] -
From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning
Manish Kumar, Anton Frederik Thielmann, Christoph Weisser, Benjamin Säfken, August 2026
[openreview] [pdf] [bib] [code] -
SimpleDesign: A Joint Model for Protein Sequence and Structure Codesign
Jiarui Lu, Yuyang Wang, Yizhe Zhang, Jiatao Gu, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista, August 2026
[openreview] [pdf] [bib] -
LaCy: What Small Language Models Can and Should Learn is Not Just a Question of Loss
Szilvia Ujváry, Louis Béthune, Pierre Ablin, Joao Monteiro, marco cuturi, Michael Kirchhof, August 2026
[openreview] [pdf] [bib] -
Understanding and Mitigating Overconfidence in Focus Group Surveys
Karush Suri, Konstantinos N. Plataniotis, Yuri Andrew Lawryshyn, August 2026
[openreview] [pdf] [bib] [code] -
CURE-OOD: Benchmarking Out-of-Distribution Detection for Survival Prediction
Wenjie Zhao, Jia Li, Mingrui Liu, Jing Wang, Yunhui Guo, August 2026
[openreview] [pdf] [bib] [code] -
Generate the Forest before the Trees - A Hierarchical Diffusion model for Climate Downscaling
Declan Jacques Curran, Sanaa Hobeichi, Hira Saleem, Hao Xue, Flora D. Salim, August 2026
[openreview] [pdf] [bib] -
Gradient Heterogeneity Complements Hessian Heterogeneity in Transformer Optimization
Akiyoshi Tomihari, Issei Sato, August 2026
[openreview] [pdf] [bib] [code] -
Efficient LLM Collaboration via Planning
Byeongchan Lee, Jonghoon Lee, Dongyoung Kim, Jaehyung Kim, Kyungjoon Park, Dongjun Lee, Jinwoo Shin, August 2026
[openreview] [pdf] [bib] [code] -
Compress--Add--Smooth: Fixed-Budget Temporal Compression of Density-Valued Streams
Michael Chertkov, August 2026
[openreview] [pdf] [bib] [code] -
A Benchmark for Vericoding: Formally Verified Program Synthesis
Ionel Emilian Chiosa, Sergiu Bursuc, Theodore Ehrenborg, Shaowei Lin, Lacramioara Astefanoaei, Jure Kukovec, Alok Singh, Oliver Butterley, Adem Bizid, Quinn Dougherty, Miranda Zhao, Max Tan, Max Tegmark, August 2026
[openreview] [pdf] [bib] -
Dynamic Subspace Estimation from Undersampled Data using Grassmannian Geodesics
Soo Min Kwon, Cameron James Blocker, Haroon Raja, Jeffrey A Fessler, Laura Balzano, August 2026
[openreview] [pdf] [bib] -
Yose-Ue: A Treap-Based Ensemble Framework for Resource-Efficient Unsupervised Anomaly Detection
Eduardo Ortega, Gautam Dasarathy, Krishnendu Chakrabarty, August 2026
[openreview] [pdf] [bib] [code] -
A Robust $\widetilde{\mathcal{O}}(1/\sqrt{T})$ Rate for Unprojected TD Learning with Linear Function Approximation
Wei-Cheng Lee, Francesco Orabona, August 2026
[openreview] [pdf] [bib] -
Density-Scaled Regularization for Offline Reinforcement Learning
Jacky Xie, Nan Ye, August 2026
[openreview] [pdf] [bib] [code] -
Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control
Carles Domingo-Enrich, Jiequn Han, August 2026
[openreview] [pdf] [bib] [code] -
Benchmarking Transfer Learning: From Simple Baselines to Combined Scorers for Transferability Estimation
Levy Chaves, Claudio Mayrink Verdun, Eduardo Valle, Sandra Avila, August 2026
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks
Syed A Rizvi, Nazreen Pallikkavaliyaveetil MohammedSheriff, David Zhang, Zhuoyang Lyu, Nhi Nguyen, Harry Lyu, Benjamin W Christensen, Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Emanuele Zappala, Maryam Bagherian, Christopher Lee Averill, Chadi Abdallah, Amin Karbasi, Rex Ying, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk, August 2026
[openreview] [pdf] [bib] -
Detecting Distributional Treatment Responders with False Discovery Rate Control
Tzviel Frostig, Bradley P. Carlin, Elad Berkman, Amitay Kamber, Raviv Pryluk, August 2026
[openreview] [pdf] [bib] -
EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models
Matteo Caligiuri, Francesco Barbato, Pietro Zanuttigh, Francesco Restuccia, August 2026
[openreview] [pdf] [bib] [code] [video] -
Optimization as a Dynamical System: Generative Schedules from Latent ODEs
Matt L. Sampson, Peter Melchior, August 2026
[openreview] [pdf] [bib] -
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack
Yuval Golbari, navve wasserman, Gal Vardi, michal Irani, August 2026
[openreview] [pdf] [bib] [code] -
Riemannian t-SNE on Several Matrix Manifolds
Rui Wang, Bin Shi, Chen Hu, Tianyang Xu, Xiaojun Wu, Nicu Sebe, Ziheng Chen, August 2026
[openreview] [pdf] [bib] [code] [video] -
Centroid-Referenced Mahalanobis Matching (CRM): A Scalable, Representation-Based Framework for Causal Inference in Large Observational Studies
Keming Hu, Yingpei He, August 2026
[openreview] [pdf] [bib] [code] -
FARM: Enhancing Molecular Representations with Functional Group Awareness
Thao Nguyen, Kuan-Hao Huang, Ge Liu, Martin D. Burke, Ying Diao, Heng Ji, August 2026
[openreview] [pdf] [bib] [code] -
Revealing Positive and Negative Role Models to Help People Make Good Decisions
Avrim Blum, Keziah Naggita, Matthew Walter, Jingyan Wang, August 2026
[openreview] [pdf] [bib] [code] -
Missing Value Uncertainty: Could Collecting Missing Values Change the Prediction?
David J. Burnett, Surojit Ganguli, Lance M. Kaplan, Devesh Upadhyay, David I. Inouye, August 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
OTIS: Learning High-Quality Time Series Features With Tiny Encoders
Özgün Turgut, Philip Müller, Martin J. Menten, Daniel Rueckert, August 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Speedrunning ImageNet Diffusion
Swayam Bhanded, August 2026
[openreview] [pdf] [bib] [code] -
Semantic F1 Scores: Fair Evaluation Under Fuzzy Class Boundaries
Georgios Chochlakis, Jackson Trager, Vedant Vipul Jhaveri, Nikhil Ravichandran, Alexandros Potamianos, Shrikanth Narayanan, August 2026
[openreview] [pdf] [bib] [code] [video] -
FairNVT: Fair Classification via Noise Injection in Vision Transformers
Qiaoyue Tang, Sepidehsadat Hosseini, Mengyao Zhai, Thibaut Durand, Greg Mori, August 2026
[openreview] [pdf] [bib] -
Contractive MASO‑Generalized Predictors for Stable Latent‑Space Learning in JEPA
BELLOULATA, August 2026
[openreview] [pdf] [bib] -
RAWDet-7: A Multi-Scenario Benchmark for Object Detection and Description on Quantized RAW Images
Mishal Fatima, Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Michael Moeller, Margret Keuper, August 2026
[openreview] [pdf] [bib] -
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe, Joakim Bruslund Haurum, Sageev Oore, Thomas B. Moeslund, Graham W. Taylor, August 2026
[openreview] [pdf] [bib] [code] -
Fast Sharpness-escaping Optimization for Long-tailed Learning
Jiaan Luo, Ziyi Tang, Feng Hong, Qiang Hu, Shuai Xiao, Xiaofeng Cao, Jiangchao Yao, Ivor Tsang, Yew-Soon Ong, August 2026
[openreview] [pdf] [bib] -
A Comparative Study of Label-free Representation Quality Metrics in Deep Learning
Daniel Richards Arputharaj, Gabriel Eilertsen, Daniel Jönsson, August 2026
[openreview] [pdf] [bib] [code] -
Private and interpretable clinical prediction with quantum-inspired tensor train models
José Ramón Pareja Monturiol, Juliette Sinnott, Roger G Melko, Mohammad Kohandel, August 2026
[openreview] [pdf] [bib] [code] -
Score-based Membership Inference on Diffusion Models
Mingxing Rao, Bowen Qu, Daniel Moyer, August 2026
[openreview] [pdf] [bib] [code] -
MaskGT: Learning Task-Adaptive Connectivity in Graph Transformers
Anita Yang, Ken-Ichi Kawarabayashi, August 2026
[openreview] [pdf] [bib] [code] -
Weaves, Wires, and Morphisms: Formalizing and Implementing the Algebra of Deep Learning
Vincent Abbott, Gioele Zardini, August 2026
[openreview] [pdf] [bib] [code] -
Generative Modeling with Bayesian Sample Inference
Marten Lienen, Marcel Kollovieh, Stephan Günnemann, August 2026
[openreview] [pdf] [bib] [code] -
KOALA: Koopman Operator Learning for WiFi-Based Anticipatory Human Motion Prediction
Quang-Anh N.D., Pham Minh Duc, Thao Pham Phuong, Minh-Anh Nguyen, Huan Xuan Nguyen, Tuan Dang, August 2026
[openreview] [pdf] [bib] -
ProPINN: Demystifying Propagation Failures in Physics Informed Neural Networks
Yuezhou Ma, Haixu Wu, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long, August 2026
[openreview] [pdf] [bib]
Certifications: J2C -
MINDFeed: Mutual Information-Guided Single-Network Consistency Learning for Semi-Supervised 3D Medical Image Segmentation
Adithya S. Ubaradka, Jeny Rajan, August 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
The Intrinsic Dimension of Prompts in Internal Representations of Large Language Models
Karthik Viswanathan, Yuri Gardinazzi, Giada Panerai, Alberto Cazzaniga, Matteo Biagetti, August 2026
[openreview] [pdf] [bib] -
A Survey on Behavioral Data Representation Learning
Xi Chen, Siwei Zhang, kangxiang jia, Sijia Peng, Yuxuan Wang, Liang Su, Xinyi Huang, Jiarong Xu, Yun Xiong, Philip S. Yu, August 2026
[openreview] [pdf] [bib] [code] -
Beyond Imitation: A Framework and Benchmark for LLM-Assisted Peer Review
Rachel S.Y. Teo, Yutaro Yamada, Shashank Kotyan, Yuki Imajuku, Tarin Clanuwat, August 2026
[openreview] [pdf] [bib] -
Variational Set Operator Networks: Uncertainty-Aware Meta-Learning via Probabilistic Neural Operators
William Ryan, Dirk Husmeier, Vladislav Vyshemirsky, August 2026
[openreview] [pdf] [bib] -
BiScale-GTR: Fragment-Aware graph Transformers for Multi-Scale Molecular Representation Learning
Yi Yang, Ovidiu Daescu, August 2026
[openreview] [pdf] [bib] [code] -
Few Contrastive Attention Heads Enable Visual Grounding in Large Vision-Language Models
Neha Sengar, Andres Saurez, Dongsoo Har, Sangkeum Lee, August 2026
[openreview] [pdf] [bib]
Certifications: J2C -
The Embodiment Gap in Robot Foundation Models
Yukiyasu Domae, Keisuke Shirai, Hanbit Oh, Ryoichi Nakajo, Tomohiro Motoda, Koshi Makihara, Masaki Murooka, Takuma Yagi, Yoshiaki Bando, Ryo Hanai, August 2026
[openreview] [pdf] [bib] -
ACRL: Adaptive Control of Training-Inference Discrepancy for Stable Reinforcement Learning
Wenwu Fan, Zhijie Xia, Qihong Lin, Zhuo Zheng, Sihao Wang, QiangChen, Liangsheng Zhu, August 2026
[openreview] [pdf] [bib] -
Learning as Homeostasis: Beyond the Optimization Paradigm in Machine Intelligence
Zaryab Rahman, Mattia Ottoborgo, August 2026
[openreview] [pdf] [bib] -
HyperCLIP: Prompt-Conditioned Image Encoders for Contrastive Vision-Language Pre-training
Victor Akinwande, Mohammad Sadegh Norouzzadeh, Devin Willmott, Anna Bair, Madan Ravi Ganesh, J Zico Kolter, August 2026
[openreview] [pdf] [bib] [code] -
Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models
Shaunak A. Mehta, Ananya Hazarika, Haochen Zhang, Fan Yang, Ryo Moriyama, Wenkai Li, Yash Patel, Kanata Suzuki, August 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Aligning Path-based Link Prediction with Human Understanding of Valid Reasoning
Christoph Wehner, Lukas Bahr, Erik Voigt, Janne Wagner, Jakob Elias Wagner, Ute Schmid, August 2026
[openreview] [pdf] [bib] -
Patch-based Memory Gate Model in Time Series Foundation Model
Samuel Yoon, Jongwon Kim, Juyoung Ha, Young Myoung Ko, August 2026
[openreview] [pdf] [bib] -
Online Learning and Unlearning: Efficient Algorithms with Near-Optimal Regret Guarantees
Yaxi Hu, Bernhard Schölkopf, Amartya Sanyal, August 2026
[openreview] [pdf] [bib] -
Symbolic Graphics Programming with Large Language Models
Yamei Chen, Haoquan Zhang, Yangyi Huang, Zeju Qiu, Kaipeng Zhang, Yandong Wen, Weiyang Liu, August 2026
[openreview] [pdf] [bib] [code] -
Learning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curation
Roie Kazoom, Ofir Cohen, Rami Puzis, Asaf Shabtai, Ofer Hadar, August 2026
[openreview] [pdf] [bib] -
FairT2I: Latent Variable Guidance for Training-Free Bias Mitigation with LLM-Assisted Bias Detection
Jinya Sakurai, Yuki Koyama, Issei Sato, August 2026
[openreview] [pdf] [bib] [code] -
Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding
Yang Du, Siyuan Dai, Yonghao Song, Paul Thompson, Haoteng Tang, Liang Zhan, August 2026
[openreview] [pdf] [bib] -
World Model Anomaly Detection with a Latent Linear Prior
Zarif Ikram, Harry Zhao, Ling Pan, Alex Lamb, Dianbo Liu, August 2026
[openreview] [pdf] [bib] [code] -
Partial Observation Inversion and Batched Belief-State Planning for Information Gathering POMDPs
Robert J. Moss, David Zhen Yin, Mahdi Al-Husseini, Patrick T Belliveau, Jef Caers, Mykel Kochenderfer, August 2026
[openreview] [pdf] [bib] -
Invariant Causal Set Covering Machine
Thibaud Godon, Baptiste Bauvin, Pascal Germain, Jacques Corbeil, Alexandre Drouin, August 2026
[openreview] [pdf] [bib] [code] -
Sampling Boltzmann distributions via normalizing flow approximation of transport maps
Zia Ur Rehman, Gero Friesecke, August 2026
[openreview] [pdf] [bib] [code] -
A Survey of Hybrid Inference Systems for Large Language Models
Arkul Prathamesh Shenoy, Amogh Kulkarni, Atharv Rawal, Yatin Prabhakar, Bhaskarjyoti Das, August 2026
[openreview] [pdf] [bib] -
Chance-Constrained Inference for Hallucination Risk Control in Large Language Models
Sreenivasan M, August 2026
[openreview] [pdf] [bib] -
Learning with Local Search MCMC Layers
Germain Vivier-Ardisson, Mathieu Blondel, Axel Parmentier, August 2026
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Behavioral Inference at Scale: The Fundamental Asymmetry Between Motivations and Belief Systems
Jason Starace, Terry Soule, August 2026
[openreview] [pdf] [bib] -
Lost in Aggregation: On a Fundamental Expressivity Limit of Message-Passing Graph Neural Networks
Eran Rosenbluth, August 2026
[openreview] [pdf] [bib] -
A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification
Sushovan Majhi, Atish Mitra, Ziga Virk, Pramita Bagchi, August 2026
[openreview] [pdf] [bib] [code] -
Physics-Aware Variational Autoencoder for Urban Travel Demand Calibration
Defu Cao, Sam Griesemer, Zijun Cui, Carolina Osorio, Yan Liu, August 2026
[openreview] [pdf] [bib] -
On the Statistical Limits of Self-Improving Agents
Charles L. Wang, Keir Dorchen, Peter Jin, August 2026
[openreview] [pdf] [bib] -
Clarity: The Flexibility-Interpretability Trade-Off in Sparsity-aware Concept Bottleneck Models
Konstantinos P. Panousis, Diego Marcos, August 2026
[openreview] [pdf] [bib] [code] -
Analyzing the Effect of Noise in LLM Fine-Tuning
Lingfang Li, Procheta Sen, August 2026
[openreview] [pdf] [bib] [code] [video] -
Same-Expert Iteration Improves a Translation MoE Where Expert Communication Does Not
Libo Sun, Peixiong He, Po-wei Harn, Xiao Qin, August 2026
[openreview] [pdf] [bib] -
From Centerlines to Hemodynamics: Anisotropic RBF Decoders for Coronary Arteries
Reza Akbarian Bafghi, Sukirt Thakur, Maziar Raissi, August 2026
[openreview] [pdf] [bib] -
EHR2Path: Comprehensive Pathway-Level Modeling of Longitudinal Patient Trajectories from Multimodal Electronic Health Records
Chantal Pellegrini, Ege Özsoy, David Bani-Harouni, Nassir Navab, Matthias Keicher, August 2026
[openreview] [pdf] [bib] [code] -
Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists
Lianhao Zhou, Hongyi Ling, Keqiang Yan, Kaiji Zhao, Xiaoning Qian, Raymundo Arroyave, Xiaofeng Qian, Shuiwang Ji, August 2026
[openreview] [pdf] [bib] -
Predicting Chain-of-Thought Correctness from Trajectory Geometry
Arjun Balaji, August 2026
[openreview] [pdf] [bib] -
Gen-MURE: Generalized Multiplicative Unbiased Risk Estimate
Soumee Guha, Scott Acton, August 2026
[openreview] [pdf] [bib] -
A Cross-Model Study of Over-Compliance in Large Lan- guage Models
Harish Gupta, August 2026
[openreview] [pdf] [bib] [code] [video] -
Navigating the Labyrinth: Evaluating LLMs’ Ability to Reason About Search Problems
Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell, Rogerio Feris, Leonid Karlinsky, August 2026
[openreview] [pdf] [bib] -
Hyperedge Anomaly Detection with Hypergraph Neural Network
Md. Tanvir Alam, Md Mahmudur Rahman, Md. Fahim Arefin, Chowdhury Farhan Ahmed, Zisan Mahmud, Md. Sadman Sakib, Carson Leung, August 2026
[openreview] [pdf] [bib] -
Unbiased Stochastic Optimization for Gaussian Processes on Finite Dimensional RKHS
Neta Shoham, Haim Avron, August 2026
[openreview] [pdf] [bib] -
XFeat Revisited: Reproducibility and Evaluation of a Lightweight Image Matcher
Lazar Đoković, Aimee Lin, August 2026
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
eDQA: Efficient Deep Quantization of DNN Activations on Edge Devices
Wenhao Hu, Jude Haris, Paul Henderson, José Cano, August 2026
[openreview] [pdf] [bib] [code] -
VQEL: Enabling Self-Play in Emergent Language Games via Agent Internal Vector Quantization
Mahdi Samiei, Mehdi Jamalkhah, Mahdieh Soleymani Baghshah, August 2026
[openreview] [pdf] [bib] -
QMoE+: Hybrid Quantum Mixture of Experts
Haribandhu Jena, Subhankar Mishra, August 2026
[openreview] [pdf] [bib] [code] -
Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods
Mingxu Zhang, Huicheng Zhang, Jiaming Ji, Yaodong Yang, Ying Sun, August 2026
[openreview] [pdf] [bib] -
DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Rajarishi Sinha, Jinwoo Shin, Tomas Pfister, August 2026
[openreview] [pdf] [bib] [code] -
The 2025 Foundation Model Transparency Index
Alexander Wan, Kevin Klyman, Sayash Kapoor, Nestor Maslej, Shayne Longpre, Betty Xiong, Percy Liang, Rishi Bommasani, August 2026
[openreview] [pdf] [bib] -
Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance
Jacobus G. M. van der Linden, Daniël Vos, Mathijs de Weerdt, Sicco Verwer, Emir Demirović, August 2026
[openreview] [pdf] [bib] [code] -
SAFT: Structure-Aware Fine-Tuning of Large Language Models for AMR-to-Text Generation
Rafiq Kamel, Filippo Guerranti, Simon Geisler, Stephan Günnemann, August 2026
[openreview] [pdf] [bib] [code] -
Minimax learning rates for estimating binary classifiers under margin conditions
Jonathan García, Philipp Christian Petersen, August 2026
[openreview] [pdf] [bib] -
Influencing Humans to Conform to Preference Models for RLHF
Stephane Hatgis-Kessell, W. Bradley Knox, Serena Booth, Peter Stone, August 2026
[openreview] [pdf] [bib] -
Stronger Approximation Guarantees for Non-Monotone $\gamma$-Weakly DR-Submodular Maximization
Hareshkumar Jadav, Ranveer Singh, Vaneet Aggarwal, August 2026
[openreview] [pdf] [bib] -
Analysis of Natural Actor-Critic with Randomized Low- Discrepancy Sampling
Ajin George Joseph, shikher chhawchharia, August 2026
[openreview] [pdf] [bib] -
Transformer–SSM Hybrid Language Models: Systematic Analysis and Design Insights
Sangmin Bae, Bilge Acun, Chien-Yu Lin, Haroun Habeeb, Seungyeon Kim, Liang Luo, Junjie Wang, Carole-Jean Wu, August 2026
[openreview] [pdf] [bib] -
The Impact of Enforcing Representational Consistency of Identical Transformations for Disentangled Representation
Hee-Jun Jung, Hoyong Kim, Ilmin Kang, Kangil Kim, August 2026
[openreview] [pdf] [bib] [code] [video] -
Probing Visual Concepts in Lightweight Vision-Language Models for Automated Driving
Nikos Theodoridis, Reenu Mohandas, Ganesh Sistu, Anthony Scanlan, Ciarán Eising, Tim Brophy, August 2026
[openreview] [pdf] [bib] -
Instance-Level Generation for Representation Learning
Yankun Wu, Zakaria Laskar, Giorgos Kordopatis-Zilos, Noa Garcia, Giorgos Tolias, August 2026
[openreview] [pdf] [bib] [code] -
Learning Structured Set Utility Functions with Contrastive Element Representations
Jayanth Bhargav, Younggil Chang, Mahsa Ghasemi, Shreyas Sundaram, August 2026
[openreview] [pdf] [bib] [video] -
A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents
Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Eric Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu, August 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
How Much Information Fits in a Vector?
Christopher Neil Gadzinski, Decebal Constantin Mocanu, August 2026
[openreview] [pdf] [bib] -
Environmental Footprint of GenAI Research: Insights from the Moshi Foundation Model
Marta López-Rauhut, Loic Landrieu, Mathieu Aubry, Anne-Laure Ligozat, August 2026
[openreview] [pdf] [bib] [code] -
Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights
Shubham Parashar, Blake Olson, Sambhav Khurana, Eric Li, Hongyi Ling, James Caverlee, Shuiwang Ji, August 2026
[openreview] [pdf] [bib] [code] -
On the Fundamental Limits of LLMs at Scale
Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Zeeshan Memon, Muhammad Ibtsaam Qadir, Sagnik Bhattacharya, Hassan Rizwan, Abhiram Rao Gorle, Maahe Zehra Kazmi, Ayesha Mohsin, Ali Subhan, M. Usman Rafique, Zihao He, Pulkit Mehta, Jinda Han, Muhammad Ali Jamshed, Dean F. Hougen, John M. Cioffi, August 2026
[openreview] [pdf] [bib] -
ANU-RL: A New Perspective on Weakly-Supervised Representation Learning for Visual Place Recognition
Anuradha Uggi, Sumohana S. Channappayya, August 2026
[openreview] [pdf] [bib] [code] -
DIMENSION DOMAIN CO-DECOMPOSITION: SOLVING PDES WITH INTERPRETABILITY
Shuyuan Shang, Ming Zhong, Ren Wang, August 2026
[openreview] [pdf] [bib] [code] -
Federated Class-Incremental Learning with Hierarchical Generative Prototypes
Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Mattia Verasani, Simone Calderara, August 2026
[openreview] [pdf] [bib] [code] -
Dynamic Reward Incentives for Emergent Cooperation under Changing Rewards
Philipp Altmann, Maximilian Zorn, Sven Koenig, Thomy Phan, August 2026
[openreview] [pdf] [bib] [code] -
PAC-Bayesian Meta-Learning for Few-Shot Identification of Linear Dynamical Systems
Chenfeng Huang, George Michailidis, August 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Reasoning with Preference Constraints: A Benchmark for Language Models in Many-to-One Matching Markets
Marylou Fauchard, Florian Carichon, Margarida Carvalho, Golnoosh Farnadi, August 2026
[openreview] [pdf] [bib] [code] -
Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning
Jiaer Xia, Yuhang Zang, Peng Gao, Sharon Li, Kaiyang Zhou, August 2026
[openreview] [pdf] [bib] [code] -
NeMoS: Nearest Neighbors Bandit meets Active Learning for Online Model Selection
Jules Damidaux, Basile Lewandowski, Farzan Farnia, Lydia Chen, August 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Wiring the ‘Why’: A Unified Taxonomy and Survey of Abductive Reasoning in LLMs
Moein Salimi, Shaygan Adim, Danial Parnian, Nima Alighardashi, Mahdi Jafari Siavoshani, Mohammad Hossein Rohban, August 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Provably Safe Generative Sampling with Constricting Barrier Functions
Darshan Gadginmath, Ahmed Allibhoy, Fabio Pasqualetti, August 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Neural Diversity Regularizes Hallucinations in Language Models
Kushal Chakrabarti, Nirmal Balachundhar, August 2026
[openreview] [pdf] [bib] [code] -
Task-Relevant Language-conditioned Segmentation for Robust Generalization in Reinforcement Learning
Vedant Dave, Christian Rauch, Elmar Rueckert, August 2026
[openreview] [pdf] [bib] -
Verify What Matters: Budgeted Verification for Tool-Using Agents under Counterfactual Downstream Harm
Yueh Tang, Justin Zhan, August 2026
[openreview] [pdf] [bib] [code] -
Cross-Fitted Clipped Covariance Estimation with a Data-Driven Tail-Energy Criterion
Even He, Zaizai Yan, August 2026
[openreview] [pdf] [bib] -
ViP$^2$-CLIP: Visual-Perception Prompting with Unified Alignment for Zero-Shot Anomaly Detection
Ziteng Yang, Jingzehua Xu, Cong Liu, Yanshu Li, Zepeng Li, Yeqiang Wang, Xinghui Li, August 2026
[openreview] [pdf] [bib] -
RIGID: A Training-Free and Generator-Agnostic Framework for Robust AI-Generated Image Detection
Zhiyuan He, Pin-Yu Chen, Tsung-Yi Ho, August 2026
[openreview] [pdf] [bib] [code] -
FieldFormer: Locality-Aware Transformers for Spatio-Temporal Modeling on Sparse Sensor Networks
Ankit Bhardwaj, Ananth Balashankar, Lakshmi Subramanian, July 2026
[openreview] [pdf] [bib] [code] -
CDG-MAE: Cross-view Masked Modeling using Diffusion Generated Views
Varun Belagali, Pierre Marza, Srikar Yellapragada, Zilinghan Li, Tarak Nath Nandi, Ravi K Madduri, Joel Saltz, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras, July 2026
[openreview] [pdf] [bib] [code] -
Benford’s Law as a Distributional Prior for Post-Training Quantization of Large Language Models
Arthur Negrão de Faria Martins da Costa, Pedro Silva, Vander L. S. Freitas, Gladston Moreira, Eduardo Luz, July 2026
[openreview] [pdf] [bib] [code] [video] -
Unified Sample Difficulty Estimation in Pathology Foundation Models
Tianyu Liu, Lijun Wang, Tinglin Huang, Xiao Luo, Wengong Jin, Hongyu Zhao, July 2026
[openreview] [pdf] [bib] -
What Survives Privatization? A Guide to Structure and Utility in Differentially Private Genome-Wide Association Studies
Shadi Rahimian, Akito Yamamoto, Mario Fritz, July 2026
[openreview] [pdf] [bib]
Certifications: Survey -
On-the-go Forgetting without Explicit Unlearning via ERASE
Kushal Chakrabarti, Mayank Baranwal, July 2026
[openreview] [pdf] [bib] [video] -
Watermarking Language Models with Error Correcting Codes
Patrick Chao, Yan Sun, Edgar Dobriban, Hamed Hassani, July 2026
[openreview] [pdf] [bib] [code] -
Random features for Grassmannian kernel approximation with bounded rank-one projections
Remi Delogne, Laurent Jacques, July 2026
[openreview] [pdf] [bib]
Certifications: J2C -
On Almost Surely Safe Alignment of Large Language Models at Inference Time
Xiaotong Ji, Shyam Sundhar Ramesh, Matthieu Zimmer, Ilija Bogunovic, Jun Wang, Haitham Bou Ammar, July 2026
[openreview] [pdf] [bib] [code] -
Accelerating SGDM via Learning Rate and Batch Size Schedules: A Lyapunov-Based Analysis
Yuichi Kondo, Hideaki Iiduka, July 2026
[openreview] [pdf] [bib] -
Revisiting Learning-based Video Motion Magnification for Real-time Processing
Hyunwoo Ha, Oh Hyun-Bin, Kim Jun-Seong, Kwon Byung-Ki, Kim Sung-Bin, Linh-Tam Tran, Ji-Yun Kim, Sung-Ho Bae, Tae-Hyun Oh, July 2026
[openreview] [pdf] [bib] [code] -
Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts
Sanae Lotfi, Lucas Caccia, Alessandro Sordoni, Jordan T. Ash, Miroslav Dudík, July 2026
[openreview] [pdf] [bib] -
FUND: Density Flow for Sampling Unnormalised Distributions
Vikas Kanaujia, Vipul Arora, July 2026
[openreview] [pdf] [bib] [code] -
ARC-Encoder: learning compressed text representations for large language models
Hippolyte Pilchen, Edouard Grave, Patrick Perez, July 2026
[openreview] [pdf] [bib] [code]
Certifications: Featured -
Beyond Naïve Prompting: Strategies for Improved Context-aided Forecasting with LLMs
Arjun Ashok, Andrew Robert Williams, Vincent Zhihao Zheng, Irina Rish, Nicolas Chapados, Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, July 2026
[openreview] [pdf] [bib] [code] -
Automata Learning from Recurrent Networks: A Critical Synthesis for Verification, Testing, and Interpretability
Jaouhar Slimi, Augustin Lemesle, Tristan Le Gall, Zakaria Chihani, July 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Quantification and Control of LSTM Resilience Based on Stability Theory
Sota Yoshihara, Ryosuke Yamamoto, Hiroyuki Kusumoto, Masanari Shimura, July 2026
[openreview] [pdf] [bib] -
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule
Haitz Sáez de Ocáriz Borde, Pietro Innocenzi, Flavio Savarino, Andrei Cristian Popescu, Pantelis Papageorgiou, July 2026
[openreview] [pdf] [bib] -
GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI
Naomi Simumba, Nils Lehmann, Paolo Fraccaro, Hamed Alemohammad, Geeth De Mel, Salman Khan, Manil Maskey, Nicolas Longépé, Xiao Xiang Zhu, Hannah Kerner, Juan Bernabe Moreno, Alexandre Lacoste, July 2026
[openreview] [pdf] [bib] -
Revisiting Neighbourhoods in Mean Field Reinforcement Learning
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley, Pascal Poupart, July 2026
[openreview] [pdf] [bib] [code] [video] -
On the Convergence Analysis of Muon
Wei Shen, Ruichuan Huang, Minhui Huang, Cong Shen, Jiawei Zhang, July 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing
Piotr Piękos, Róbert Csordás, Firas Laakom, Li Nanbo, Jürgen Schmidhuber, July 2026
[openreview] [pdf] [bib] -
FreeEyeglass: Training-free and Target-mask-free Eyeglass Transfer for Facial Videos
Weng Ian Chan, Yuantian Huang, Xingchao Yang, Fumio Okura, Takafumi Taketomi, July 2026
[openreview] [pdf] [bib] [video] -
Autoregressive Image Generation with Frequency Progression
Hu Yu, Hao Luo, Hangjie Yuan, Yu Rong, Jie Huang, Feng Zhao, July 2026
[openreview] [pdf] [bib] -
Optimized Graph Structures for Calibrating Graph Neural Networks with Out-of-Distribution Nodes
Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li, July 2026
[openreview] [pdf] [bib] [code] -
Sharpness-Aware Minimization Driven by Local-Integrability Flatness
Xuanshuo Fu, Lei Kang, July 2026
[openreview] [pdf] [bib] -
VideoScore2: Think Before You Score In Generated Video Evaluation
Xuan He, Dongfu Jiang, Ping Nie, Minghao Liu, Zhengxuan Jiang, Mingyi Su, Wentao Ma, Junru Lin, Chun Ye, Yi Lu, Keming Wu, Benjamin Schneider, Quy Duc Do, Zhuofeng Li, Yiming Jia, Yuxuan Zhang, Guo Cheng, Haozhe Wang, Wangchunshu Zhou, Qunshu Lin, Yuanxing Zhang, Ge Zhang, Wenhao Huang, Wenhu Chen, July 2026
[openreview] [pdf] [bib] [code] -
Probing and Controlling Self-Reflection in Language Models
Xudong Zhu, Jiachen Jiang, Mohammad Mahdi Khalili, Zhihui Zhu, July 2026
[openreview] [pdf] [bib] [code] [video] -
Conditional Independence Tests for Constraint-Based Causal Discovery: A Survey
Pavel Averin, Theodoros Moysiadis, Ioannis Katakis, July 2026
[openreview] [pdf] [bib]
Certifications: Survey -
FedIndex: Federated Domain Adaptation with Continuous Domain Indices
Qingyang Yu, Hao Wang, Qizhen Zhang, Hao Wang, July 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
You Only Prune Once: A Zero-Shot, Data-Free Pruning at Initialization via Low-Rank Residual Saliency
Sankar Behera, Anuj Kumar, Mahendra Kumar Gurve, Satyadev Ahlawat, Yamuna Prasad, July 2026
[openreview] [pdf] [bib] -
TensorGRaD: Tensor Gradient Robust Decomposition for Memory-Efficient Neural Operator Training
Sebastian Loeschcke, David Pitt, Robert Joseph George, Jiawei Zhao, Cheng Luo, Yuandong Tian, Jean Kossaifi, Anima Anandkumar, July 2026
[openreview] [pdf] [bib] [code] -
Jump Start or False Start? A Theoretical and Empirical Evaluation of LLM-initialized Bandits
Adam Bayley, Xiaodan Zhu, Raquel Aoki, Yanshuai Cao, Kevin H. Wilson, July 2026
[openreview] [pdf] [bib] [code] -
Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes
Louis Grenioux, Maxence Noble, July 2026
[openreview] [pdf] [bib] [code] -
DecompDreamer: A Composition-Aware Curriculum for Structured 3D Asset Generation
Utkarsh Nath, Rajeev Goel, Rahul Khurana, Kyle Min, Mark Ollila, Pavan K. Turaga, Varun Jampani, Tejaswi Gowda, July 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
REPA-FPO: A Fisher Policy Optimization for Efficient Flow Matching Training
Tianyi Zheng, Fengxiang Yang, Yijie Zhong, Jiayang Gao, Lv Tang, Jinwei Chen, Peng-Tao Jiang, Jia Wang, Bo Li, July 2026
[openreview] [pdf] [bib]
Certifications: J2C -
CANDERE-COACH: Reinforcement Learning from Noisy Feedback
Yuxuan Li, Srijita Das, Matthew E. Taylor, July 2026
[openreview] [pdf] [bib] -
The Gaussian-Multinoulli Restricted Boltzmann Machine: A Potts Model Extension of the GRBM
Nikhil Kapasi, Mohamed Elfouly, William Whitehead, Luke Theogarajan, July 2026
[openreview] [pdf] [bib] [code] -
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
Minttu Alakuijala, Ya Gao, Georgy Ananov, Samuel Kaski, Pekka Marttinen, Alexander Ilin, Harri Valpola, July 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Computationally Sufficient Reductions for Joint Multiple Matrix Estimators with Sparsity and Fusion
Prateek Sasan, Vincent Q. Vu, July 2026
[openreview] [pdf] [bib] [code] -
Anderson Accelerated Asynchronous Method for Distributed Optimization
Cong Li, Xuyang Wu, July 2026
[openreview] [pdf] [bib] [code] -
Finite Sample Bounds for Non-Parametric Regression: Optimal Sample Efficiency and Space Complexity
Davide Maran, Marcello Restelli, July 2026
[openreview] [pdf] [bib] -
MSpecTmol: A Multi-Modal Spectroscopic Learning Framework for Automated Molecular Structure Elucidation
Wenjie Du, Xiaohan Qin, Ye Wei, Jun Xia, Yang Wang, July 2026
[openreview] [pdf] [bib] -
PoTRE: Test-Time Reasoning inspired by Cognitive Heterogeneity
Anmol Kankariya, Sercan O Arik, July 2026
[openreview] [pdf] [bib] -
Synth-FAR: A Synthetic Frequency-Autoregressive Driven Framework for Time Series Forecasting
Liran Nochumsohn, Michal Moshkovitz, Orly Avner, Dotan Di Castro, Omri Azencot, July 2026
[openreview] [pdf] [bib] -
A Mechanistic Analysis of Low-Precision Instabilities in Microscaling Formats
Huangyuan Su, Mujin Kwun, Stephanie Gil, Sham M. Kakade, Nikhil Anand, July 2026
[openreview] [pdf] [bib] -
Generalized Dirichlet Energy and Graph Laplacians for Clustering Directed and Undirected Graphs
Harry Sevi, Gwendal Debaussart-Joniec, Malik Hacini, Matthieu Jonckheere, Argyris Kalogeratos, July 2026
[openreview] [pdf] [bib] [code] -
Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning
Kimia Noorbakhsh, Joseph Chandler, Pantea Karimi, Mohammad Alizadeh, Hari Balakrishnan, July 2026
[openreview] [pdf] [bib] [code] [video] -
Deep Neural Nets in Low Dimensions with Sign Activations are Convex Lasso Models
Emi Zeger, Mert Pilanci, July 2026
[openreview] [pdf] [bib] -
Parameterized Adverse Lens Corruptions to Probe Model Robustness to Optical Tolerances
Kai Bäuerle, Patrick Müller, Ivo Ihrke, Margret Keuper, July 2026
[openreview] [pdf] [bib] -
Merging Feed-Forward Sublayer for Compressed Transformers
Neha Verma, Kenton Murray, Kevin Duh, July 2026
[openreview] [pdf] [bib] [code] -
$\texttt{DecompSR}$: A Dataset for Decomposed Analyses of Compositional Multihop Spatial Reasoning
Lachlan McPheat, Navdeep Kaur, Robert E. Blackwell, Alessandra Russo, Anthony G Cohn, Pranava Madhyastha, July 2026
[openreview] [pdf] [bib] [code] -
LLM2Prune: Using LLMs as Domain Experts for Search Space Reduction
Ankur Nath, Alan Kuhnle, July 2026
[openreview] [pdf] [bib] [code] -
MVDGC: Joint 3D and 2D Multi-view Pedestrian Detection via Dual Geometric Constraints
Thinh Phan, Hao Vo, Khoa Vo, Cuong Pham, Thanh Duc Ngo, Ngan Le, July 2026
[openreview] [pdf] [bib] [code] -
Empowering Multimodal Understanding Model with Interleaved Multimodal Generation Capability
Jianwen Sun, Yukang Feng, Chuanhao Li, Fanrui Zhang, Zizhen Li, Jiaxin Ai, Sizhuo Zhou, Yu Dai, Shenglin Zhang, Kaipeng Zhang, July 2026
[openreview] [pdf] [bib] -
ASAT: Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection
Daisuke Yamada, Harit Vishwakarma, Ramya Korlakai Vinayak, July 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Mamba-Enhanced Visual-Linguistic Representation for Multi-Label Image Recognition
Zichang Tan, Hao Tan, Yang Yang, Prayag Tiwari, Shifeng Chen, Jun Wan, Xu Zhou, Zhen Lei, July 2026
[openreview] [pdf] [bib] -
Causally-Aware Information Bottleneck for Domain Adaptation
Mohammad Ali Javidian, July 2026
[openreview] [pdf] [bib] [code] [video] -
A Descriptive and Normative Theory of Human Beliefs in RLHF
Sylee Dandekar, Shripad V. Deshmukh, Frank Chiu, W. Bradley Knox, Scott Niekum, July 2026
[openreview] [pdf] [bib] -
M3Ret: Unleashing Zero-shot Multi-Modal Medical Image Retrieval via Self-Supervision
Che Liu, Zheng Jiang, Chengyu Fang, Heng Guo, Yan-Jie Zhou, Jiaqi Qu, Le Lu, Minfeng Xu, July 2026
[openreview] [pdf] [bib] -
NeuMoSync: End‑to‑End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning
Seyed Roozbeh Razavi Rohani, Khashayar Khajavi, Wesley Chung, Mandana Samiei, Mo Chen, July 2026
[openreview] [pdf] [bib] [code] -
Simplifying Multi-Task Architectures Through Task-Specific Normalization
Mihai Suteu, Ovidiu Serban, July 2026
[openreview] [pdf] [bib] [code] -
A Player Selection Network for Scalable Game-Theoretic Prediction and Planning
Tianyu Qiu, Eric Ouano, Fernando Palafox, Christian Ellis, David Fridovich-Keil, July 2026
[openreview] [pdf] [bib] -
Harmonizing Gradient Matching For Fairness
Ziwei Wu, Yikun Ban, Jingrui He, July 2026
[openreview] [pdf] [bib] -
Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
Duy Nguyen, Jiachen Yao, Jiayun Wang, Julius Berner, Anima Anandkumar, July 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Tensor-Decomposed RNNs for Marked Temporal Point Processes
Timothy Mulumba, July 2026
[openreview] [pdf] [bib] -
SinGLU: Sinusoidal Gated Linear Units Improve Classification Accuracy of Small Vision Transformers
Luke Byrne, Paul Murray, July 2026
[openreview] [pdf] [bib] [code] -
Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions
Aggelos Psiris, Vasileios Argyriou, Evangelos K. Markakis, Panagiotis Sarigiannidis, Stratis Gavves, Kostas Bekris, Arash Ajoudani, Georgios Th. Papadopoulos, July 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Discovering Generalizable Governing Equations for Graph Dynamical Systems with Interpretable Neural Networks
Riccardo Cappi, Paolo Frazzetto, Nicolò Navarin, Alessandro Sperduti, July 2026
[openreview] [pdf] [bib] [code] -
Realistic Evaluation of Model Merging for Compositional Generalization
Derek Tam, Yash Kant, Brian Lester, Igor Gilitschenski, Colin Raffel, July 2026
[openreview] [pdf] [bib] [code] -
LAW & ORDER: Adaptive Spatial Weighting for Medical Diffusion and Segmentation
Anugunj Naman, Ayushman Singh, Gaibo Zhang, Yaguang Zhang, July 2026
[openreview] [pdf] [bib] -
SafeFix: Targeted Model Repair via Controlled Image Generation
Ouyang Xu, Baoming Zhang, RUIYU MAO, Yunhui Guo, July 2026
[openreview] [pdf] [bib] [code] -
Lipschitz Continuity in Deep Learning: A Systematic Review of Theoretical Foundations, Estimation Methods, Regularization Approaches, and Certifiable Robustness
Róisín Luo, James McDermott, Colm O'Riordan, July 2026
[openreview] [pdf] [bib] [code] -
Achieving Adaptivity and Optimality for Multi-armed Bandits using Exponential-Kullback Leibler Maillard Sampling
Hao Qin, Kwang-Sung Jun, Chicheng Zhang, July 2026
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Not All Structure Is Learned: Disentangling Inherited and Learned Representations in Recurrent Networks
Mark Alence, July 2026
[openreview] [pdf] [bib] -
CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization
Min Zhang, YUYIN WANG, Zhongxiang Dai, Zhikang Chen, Jie Zhou, Miao Liu, Sen Cui, July 2026
[openreview] [pdf] [bib] -
Do We Really Need to Approach the Entire Pareto Front in Many-Objective Bayesian Optimisation?
Chao Jiang, Jingyu Huang, Miqing Li, July 2026
[openreview] [pdf] [bib] [code] -
A Survey on Efficient Protein Language Models
Shouren Wang, Debargha Ganguly, Vinooth Rao Kulkarni, Van Yang, Zhuoran Qiao, Daniel Blankenberg, Vipin Chaudhary, Xiaotian Han, July 2026
[openreview] [pdf] [bib] [code]
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MEMETRON: Memetic Response Optimizer for Reward-Guided Post-Decoding Optimization of Large Language Models
Son The Nguyen, Theja Tulabandhula, July 2026
[openreview] [pdf] [bib] -
Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks
Hamid Dashtbani, Mehdi Dousti Gandomani, AmirMahdi Sadeghzadeh, July 2026
[openreview] [pdf] [bib] [code] -
White-Box Sensitivity Auditing with Steering Vectors
Hannah Cyberey, Yangfeng Ji, David Evans, July 2026
[openreview] [pdf] [bib] [code] -
ReDiTT: Retrieval Augmented Conditional Diffusion Transformers for Asynchronous Time Series
Saiyue Lyu, Zhitian Zhang, Ruizhi Deng, Thibaut Durand, July 2026
[openreview] [pdf] [bib] -
Task-Aware Model Merging via Fisher-Weighted Median
Baban Gain, Saswati Dana, Udit Sharma, Arnab Kumar Mondal, Prathosh AP, Dinesh Garg, Amith Singhee, Asif Ekbal, July 2026
[openreview] [pdf] [bib] [code] -
GE-FM: Geometry-aware Energy-based Flow Matching for Non Euclidean Manifolds
Ayush Roy, Arjun Ramesh Kaushik, Vishnu Suresh Lokhande, Nalini K. Ratha, Venu Govindaraju, July 2026
[openreview] [pdf] [bib] [code] -
Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out-of-Distribution Generalization
Mahdi Samiei, Arash Marioriyad, Arman Tahmasebi-Zadeh, Mohamadreza Fereydooni, Mahdi Ghaznavi, Mahdieh Soleymani Baghshah, July 2026
[openreview] [pdf] [bib] -
Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions
Sarthak Kumar Maharana, Shambhavi Mishra, Yunbei Zhang, Shuaicheng Niu, Taki Hasan Rafi, Jihun Hamm, Marco Pedersoli, Jose Dolz, Yunhui Guo, July 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Investigating the limits of free-form debate as a scalable oversight strategy
Gareth Tan, Leonid Tsyplenkov, Edy Nastase, Gabriel Recchia, July 2026
[openreview] [pdf] [bib] [code] -
MatchEx: Model-Level GNN Explanations with Multi-Granular Insights
Sayan Saha, Sanghamitra Bandyopadhyay, July 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Predicting integers from continuous parameters
Bas Joris Maat, Peter Bloem, July 2026
[openreview] [pdf] [bib] [code] -
Extracting Common Components from Partially Observed Views Using Diffusion Geometry
Bar Weiss, Hau-Tieng Wu, Ronen Talmon, July 2026
[openreview] [pdf] [bib] [code] [video] -
Don't Go Breaking My LLM: The Impact of Pruning Attention Layers on Explanation Faithfulness and Confidence Calibration
Pietro Tropeano, Maria Maistro, Tuukka Ruotsalo, Christina Lioma, July 2026
[openreview] [pdf] [bib] [code] -
Federated Learning with Projected Trajectory Regularization
Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen, July 2026
[openreview] [pdf] [bib] -
End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRI
Yihong Chen, Jiancheng Yang, Deniz Sayin Mercadier, Hieu Le, Juerg Schwitter, Pascal Fua, July 2026
[openreview] [pdf] [bib] [code] -
POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking
Zhangheng LI, Jianing Zhu, Junyuan Hong, Sungmin Eum, Shuowen Hu, Suya You, Zhangyang Wang, July 2026
[openreview] [pdf] [bib] -
Neural Networks Performance Prediction using Weights and Gradients Analysis
Michael Bohadana, Alon Schneider, Gilad Katz, July 2026
[openreview] [pdf] [bib] -
Sliding Window Recurrences for Sequence Models
Dragos Secrieru, Garyk Brixi, Yoshua Bengio, Taiji Suzuki, Michael Poli, Stefano Massaroli, July 2026
[openreview] [pdf] [bib] [code] -
RA-CoA: Training-free Fashion Image Captioning via Retrieval-Augmented Chain-of-Attributes
Abhirama Subramanyam Penamakuri, Shreya Shukla, Anand Mishra, July 2026
[openreview] [pdf] [bib] [code] -
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction
Qidong Yang, Weicheng Zhu, Joseph Keslin, Laure Zanna, Tim G. J. Rudner, Carlos Fernandez-Granda, July 2026
[openreview] [pdf] [bib] [code] -
When Does Multimodality Lead to Better Time Series Forecasting?
Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Michael Bohlke-Schneider, Huzefa Rangwala, George Karypis, Bernie Wang, July 2026
[openreview] [pdf] [bib] -
Low-Rank Filtering & Smoothing for Sequential Deep Learning
Joanna Sliwa, Frank Schneider, Nathanael Bosch, Agustinus Kristiadi, Philipp Hennig, July 2026
[openreview] [pdf] [bib] -
Hierarchy-Aware Multimodal Unlearning for Medical AI
Fengli Wu, Vaidehi Patil, Jaehong Yoon, Yue Zhang, Mohit Bansal, July 2026
[openreview] [pdf] [bib] -
Data-Dependent Regret and Polyak Corrections for Constrained Online Convex Optimization
Wentao Zhang, July 2026
[openreview] [pdf] [bib] -
LENS: Learning to Navigate with Active Search for Partially Observable MAPF in Unknown Environments
Di Yang, Yuheng Li, Yanhai Xiong, July 2026
[openreview] [pdf] [bib] -
Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models
Vijja Wichitwechkarn, Charles Fox, R. Choudhary, July 2026
[openreview] [pdf] [bib] [code] -
Conditional Risk-Averse Constrained Reinforcement Learning
James McCarthy, Radu Marinescu, Elizabeth M. Daly, Ivana Dusparic, July 2026
[openreview] [pdf] [bib] -
Exposing Long-Tail Safety Failures in Large Language Models through Efficient Diverse Response Sampling
Suvadeep Hajra, Palash Nandi, Tanmoy Chakraborty, July 2026
[openreview] [pdf] [bib] [code] [video] -
Aggregation-Free Heterogeneous Federated Learning with Data-Free Knowledge Exchange
Haowen Guan, Xuan Zhao, Chengjie Zheng, Allen Yang, Tales Imbiriba, Shichao Pei, July 2026
[openreview] [pdf] [bib] [code] -
Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
Nikola Zubic, Davide Scaramuzza, July 2026
[openreview] [pdf] [bib] -
Progressive Checkerboards for Autoregressive Multiscale Image Generation
David Eigen, July 2026
[openreview] [pdf] [bib] [code] -
Lens: A Knowledge-Guided Foundation Model for Network Traffic
Xiaochang Li, Chen Qian, Qineng Wang, Jiangtao Kong, Yuchen Wang, Ziyu Yao, Bo Ji, Long Cheng, Gang Zhou, Huajie Shao, July 2026
[openreview] [pdf] [bib] [code] -
Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology
Ka Chun Lam, Francisco Pereira, Armin Raznahan, Bridget Wilson Mahony, July 2026
[openreview] [pdf] [bib] [code] -
Learning to Strategically Acquire Resources in Competition
Safwan Hossain, Mirah Shi, Andrew Bennett, Neil Andrew Chriss, Michael Kearns, Anderson Schneider, Yuriy Nevmyvaka, July 2026
[openreview] [pdf] [bib] -
Autoregressive Models for Small-Scale Knowledge Graph Generation
Thiviyan Thanapalasingam, Antonis Vozikis, Peter Bloem, Paul Groth, July 2026
[openreview] [pdf] [bib] [code] -
Reliability Scaling Laws for Quantized Large Language Models
Sirine Ayadi, Sándor Daróczi, Stephan Günnemann, Bertrand Charpentier, July 2026
[openreview] [pdf] [bib] -
Mutual Information Collapse Explains Disentanglement Failure in $\beta$-VAEs
Minh Vu, Xiaoliang Wan, Shuangqing Wei, July 2026
[openreview] [pdf] [bib] -
Heterogeneous Matrix Factorization: When Features Differ by Datasets
Naichen Shi, Salar Fattahi, Raed Al Kontar, July 2026
[openreview] [pdf] [bib] [code] -
Koopman-informed recurrent neural networks
Erik Lien Bolager, Ana Čukarska, Iryna Burak, Zahra Monfared, Felix Dietrich, July 2026
[openreview] [pdf] [bib] [code] -
CHyLL: Learning Continuous Neural Representations of Hybrid Systems
Sangli Teng, Hang Liu, Jingyu Song, Koushil Sreenath, July 2026
[openreview] [pdf] [bib]
Certifications: J2C -
VLMGuard: Bootstrapping Malicious Prompt Detectors from Unlabeled Vision-Language Prompts in the Wild
Junlin Fang, Wenyu Chen, Reshmi Ghosh, Robert Sim, Ahmed Salem, Vitor R. Carvalho, Emily Lawton, Sharon Li, Jack W. Stokes, Sean Du, July 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation
Pei-Chi Pan, Yingbin Liang, Sen Lin, July 2026
[openreview] [pdf] [bib] -
Adaptive Federated Learning via Dynamical System Model
Aayushya Agarwal, Lawrence Pileggi, Gauri Joshi, July 2026
[openreview] [pdf] [bib] [code] -
High precision PINNs in unbounded domains: application to singularity formulation in PDEs
Yixuan Wang, Ziming Liu, Zongyi Li, Anima Anandkumar, Thomas Y. Hou, July 2026
[openreview] [pdf] [bib] -
Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
Yubo Li, Xiaobin Shen, Yidi Miao, Xinyu Yao, Xueying Ding, Ramayya Krishnan, Rema Padman, July 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications
Praveenkumar Kanithi, Clement Christophe, Marco AF Pimentel, Tathagata Raha, Prateek Munjal, Nada Saadi, Hamza A Javed, Svetlana Maslenkova, Nasir Hayat, Ronnie Rajan, Shadab Khan, July 2026
[openreview] [pdf] [bib] [code] -
Towards Scalable and Robust Filtration Learning for Point Clouds via Principal Persistence Measure
Kaifeng Zhang, Kai Ming Ting, July 2026
[openreview] [pdf] [bib] [code] -
From Tables to Time: Extending TabPFN-v2 to Time Series Forecasting
Shi Bin Hoo, Samuel Müller, David Salinas, Frank Hutter, July 2026
[openreview] [pdf] [bib] [code] -
Favorability of Loss Landscape with Regularization Requires Both Large Overparametrization and Initialization
Etienne Boursier, Matthew Bowditch, Matthias Englert, Ranko Lazic, July 2026
[openreview] [pdf] [bib] [code] -
LoraQuant: Mixed-Precision Quantization of LoRA to Ultra- Low Bits for LLM Customization
Amir Reza Mirzaei, Yuqiao Wen, Yanshuai Cao, Lili Mou, July 2026
[openreview] [pdf] [bib] [code] [video] -
The Fake Mirror Effect: Foreign Feedback Disrupts Self-Correction in Minimal Recurrent Networks
Sungmoon Ong, July 2026
[openreview] [pdf] [bib] [code] [video] -
Recursive Entropic Risk Optimization in Discounted MDPs: Sample Complexity Bounds with a Generative Model
Oliver Mortensen, M. Sadegh Talebi, July 2026
[openreview] [pdf] [bib] -
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
El Mahdi Chayti, Martin Jaggi, July 2026
[openreview] [pdf] [bib] -
Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics
Momin Abbas, Ali Falahati, Hossein Goli, Mohammad Mohammadi Amiri, July 2026
[openreview] [pdf] [bib] [code] -
TOAM-YOLO: A Tiny Object-Aware Multi-Expert YOLO Framework for Diverse Domains
Vaibhav Sharma, Arnesh Batra, Arush Gumber, Ritu Gupta, Anubha Gupta, July 2026
[openreview] [pdf] [bib] [code] -
Using RKHS Weight Functions in Random Feature Models
Gabriel Dubé, Mario Marchand, Frédéric LeBlanc, July 2026
[openreview] [pdf] [bib] [code] [video] -
OmegAMP: Targeted AMP Discovery via Biologically Informed Generation
Diogo Soares, Leon Hetzel, Paulina Szymczak, Marcelo Der Torossian Torres, Johanna Sommer, Cesar de la Fuente-Nunez, Fabian J Theis, Stephan Günnemann, Ewa Szczurek, July 2026
[openreview] [pdf] [bib] -
AuxiLight: Fast, Lightweight Auxiliary Loss Balancing Algorithm with Application in 6D Pose Estimation
Tianzong Zhang, Yinlin Hu, Kaicheng Yu, Mathieu Salzmann, July 2026
[openreview] [pdf] [bib] -
Retrievit: In-context Retrieval Capabilities of Transformers, State Space Models, and Hybrid Architectures
Georgios Pantazopoulos, Malvina Nikandrou, Ioannis Konstas, Alessandro Suglia, July 2026
[openreview] [pdf] [bib] [code] -
Flex-Act: Why Learn when you can Pick?
Ramnath Kumar, Kyle Ritscher, Junmin Zhu, Lawrence Liu, Cho-Jui Hsieh, July 2026
[openreview] [pdf] [bib] -
Privacy-Aware Visual Language Models
Laurens Samson, Nimrod Barazani, Sennay Ghebreab, Yuki M Asano, July 2026
[openreview] [pdf] [bib] [code] -
VBased: Revisiting Architectural Design for Simple Linear Attention Models in Vision
Yibo Zhong, July 2026
[openreview] [pdf] [bib] -
Closing the Modality Gap for Mixed Modality Search
Binxu Li, Yuhui Zhang, Xiaohan Wang, Weixin Liang, Ludwig Schmidt, Serena Yeung-Levy, July 2026
[openreview] [pdf] [bib] [code] -
Self-Consistent Flow: Unifying Velocity and Endpoint Prediction for Rectified Flow Models
Xu Han, Jiajing Hu, Liping Liu, July 2026
[openreview] [pdf] [bib] -
Causally Fair Node Classification on Non-IID Graph Data
Yucong Dai, Lu Zhang, Yaowei Hu, Susan Gauch, Yongkai Wu, July 2026
[openreview] [pdf] [bib] [code] -
A quantitative analysis of semantic information in deep representations of text and images
Santiago Acevedo, Andrea Mascaretti, Riccardo Rende, Matéo Mahaut, Marco Baroni, Alessandro Laio, July 2026
[openreview] [pdf] [bib] [code] -
Learning to Prompt for Generalizable Instance Segmentation via Bi-Level Optimization
Li Zhang, Pengtao Xie, July 2026
[openreview] [pdf] [bib] -
Rethinking Reward Models for Multi-Domain Test-Time Scaling
Dong Bok Lee, Seanie Lee, Sangwoo Park, Minki Kang, Jinheon Baek, Dongki Kim, Dominik Wagner, Jiongdao Jin, Heejun Lee, Tobias Bocklet, Jinyu Wang, Jingjing Fu, Sung Ju Hwang, Jiang Bian, Lei Song, July 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Beyond Freezing the Router: Rank-Aligned Post-Training Quantization for Mixture-of-Experts Models
Yi-Zeng Fang, Juinn-Dar Huang, July 2026
[openreview] [pdf] [bib] -
Provable Emergence of Deep Neural Collapse and Low-Rank Bias in $L^2$-Regularized Nonlinear Networks
Emanuele Zangrando, Piero Deidda, Simone Brugiapaglia, Nicola Guglielmi, Francesco Tudisco, July 2026
[openreview] [pdf] [bib] -
DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix
Sidhant Nair, Tanmay Sen, Mrinmay Sen, Sayantan Banerjee, July 2026
[openreview] [pdf] [bib] -
How Private is Your Attention? Bridging Privacy with In-Context Learning
Soham Bonnerjee, Kingsley Yeon, Anna Asch, Sagnik Nandy, PROMIT GHOSAL, July 2026
[openreview] [pdf] [bib] [code] -
DuoShapley: Adaptive and Scalable Shapley Value Approximation for Federated Learning
Mengwei Yang, Baturalp Buyukates, Yanning Shen, Athina Markopoulou, July 2026
[openreview] [pdf] [bib] -
Forking-Sequences: Statistically and Computationally Efficient Multi-Horizon Forecasting with Reduced Volatility
Willa Potosnak, Malcolm Wolff, Mengfei Cao, Ruijun Ma, Tatiana Konstantinova, Dmitry Efimov, Michael W. Mahoney, Boris N. Oreshkin, Kin G. Olivares, July 2026
[openreview] [pdf] [bib] -
Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries
Yubo Li, July 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Monte Carlo Multi-Feature Baseline Shapley (MMBS): An axiomatic attribution method for fine-grained explanations of image classification networks
Dirk Elias Schut, Robert van Liere, Tristan van Leeuwen, July 2026
[openreview] [pdf] [bib] [code] -
Training Verifiably Robust Agents Using Set-Based Reinforcement Learning
Manuel Wendl, Lukas Koller, Tobias Ladner, Matthias Althoff, July 2026
[openreview] [pdf] [bib] [code] [video] -
From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
Alan T. L. Bacellar, Sathvik Chemudupati, Shashank Nag, Allison Seigler, Priscila Machado Vieira Lima, Felipe M.G. França, Lizy Kurian John, July 2026
[openreview] [pdf] [bib] -
Visual Explanations for Capsule Networks
Saja Tawalbeh, Jose Oramas, July 2026
[openreview] [pdf] [bib] -
LibMoE: A Library for Comprehensive Research on Mixture of Experts in Large Language Models
Nam V. Nguyen, Thong T. Doan, Luong Tran, Van Nguyen, Quang Pham, July 2026
[openreview] [pdf] [bib] [code] -
MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning
Javier Lopez-Piqueres, Pranav Deshpande, Archan Ray, Mattia Jacopo Villani, Marco Pistoia, Niraj Kumar, July 2026
[openreview] [pdf] [bib] -
Temporal Energy Transformer for Long Range Propagation in Continuous Time Dynamic Graphs
Parveena Shamim ABDUL SALAM, Abhishek A, Harsh Pandey, July 2026
[openreview] [pdf] [bib] -
Advancing Counterfactual Prediction through Nonlinear Quantile Regression
Shaoan Xie, Biwei Huang, Bin Gu, Tongliang Liu, Peter Spirtes, Kun Zhang, July 2026
[openreview] [pdf] [bib] -
FusionFactory: Fusing LLM Capabilities with Multi-LLM Log Data
Tao Feng, Haozhen Zhang, Zijie Lei, Pengrui Han, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jiaxuan You, July 2026
[openreview] [pdf] [bib] [code] -
Freeze, Prompt, and Adapt: A Framework for Source-free Unsupervised GNN Prompting
Peyman Baghershahi, Sourav Medya, July 2026
[openreview] [pdf] [bib] [code] [video] -
CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity
Zhaoyi Joey Hou, Alvin Zhang, Yining Lu, Bhiman Kumar Baghel, Anneliese Brei, Ximing Lu, Meng Jiang, Faeze Brahman, Snigdha Chaturvedi, Haw-Shiuan Chang, Daniel Khashabi, Xiang Lorraine Li, July 2026
[openreview] [pdf] [bib] -
Towards Overcoming Reasoning Shortcuts in Neurosymbolic Learning via Efficient Generative Proxies
Panagiotis Lymperopoulos, Liping Liu, July 2026
[openreview] [pdf] [bib] [code] -
FairSAM: Fair Classification on Corrupted Image Data Through Sharpness-Aware Minimization
Yucong Dai, Jie Ji, Xiaolong Ma, Yongkai Wu, July 2026
[openreview] [pdf] [bib] [code] -
Bigger Isn’t Always Memorizing: Early Stopping Overparameterized Diffusion Models
Alessandro Favero, Antonio Sclocchi, Matthieu Wyart, July 2026
[openreview] [pdf] [bib]
Certifications: J2C -
On Rate-Optimal Partitioning Classification from Observable and from Privatised Data
Balázs Csáji, László Györfi, Ambrus Tamás, Harro Walk, June 2026
[openreview] [pdf] [bib]
Certifications: J2C -
A Geometric Lens on LLM Abilities through Joint Embedding Item Response Theory
Louie Hong Yao, Nicholas Jarvis, Tiffany Zhan, Saptarshi Ghosh, Linfeng Liu, Tianyu Jiang, June 2026
[openreview] [pdf] [bib] [code] -
Neural Logic Networks for Interpretable Classification
Vincent Perreault, Katsumi Inoue, Richard Labib, Alain Hertz, June 2026
[openreview] [pdf] [bib] [code] -
Improved denoising diffusion probabilistic models with efficient non-diagonal covariance modeling
Rui Xia, Ayan Das, Artem Artemev, Andi Zhang, Guillaume Hennequin, Alberto Bernacchia, June 2026
[openreview] [pdf] [bib] [code] -
Leveraging Vision-Language Models for Resource Constrained Settings
Anna Bair, Madan Ravi Ganesh, Devin Willmott, J Zico Kolter, June 2026
[openreview] [pdf] [bib] [code] -
Plain Transformers Can be Powerful Graph Learners
Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Philip Torr, Mark Coates, June 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Graph Unitary Message Passing
Haiquan Qiu, Quanming Yao, June 2026
[openreview] [pdf] [bib] [code] -
On Hamming–Lipschitz Type Stability of the Subdominant (Minmax) Ultrametric: Theory and Simple Proofs
Alokendu Mazumder, Arnab Roy, Punit Rathore, June 2026
[openreview] [pdf] [bib] -
Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection
Yihao Xue, Kristjan Greenewald, Youssef Mroueh, Baharan Mirzasoleiman, June 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing
Brian Godwin Lim, Galvin Brice Lim, Renzo Roel Tan, Irwin King, Kazushi Ikeda, June 2026
[openreview] [pdf] [bib] [code] -
Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive Learning
Guangming Huang, Yunfei Long, Cunjin Luo, June 2026
[openreview] [pdf] [bib] -
Learning to Understand Videos From Encoded Bytes
AJ Piergiovanni, Ganesh Satish Mallya, Dahun Kim, Anelia Angelova, June 2026
[openreview] [pdf] [bib] -
GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition
Lei Jiang, Weixin Yang, Xin Zhang, Hao Ni, June 2026
[openreview] [pdf] [bib] [code] -
Overcoming label shift in target-aware federated learning
Edvin Listo Zec, Adam Breitholtz, Fredrik D. Johansson, June 2026
[openreview] [pdf] [bib] -
Can VLMs Reason Robustly? A Neuro-Symbolic Investigation
Weixin Chen, Antonio Vergari, Han Zhao, June 2026
[openreview] [pdf] [bib] [code] -
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang, Xuanhao Pan, Tianshu Yu, June 2026
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility J2C -
Domain Generalizable Adaptation of 3D Vision-Language Models via Regularized Fine-Tuning
Sneha Paul, Zachary Patterson, Nizar Bouguila, June 2026
[openreview] [pdf] [bib] -
Confidence-Aware Explanations for 3D Molecular Graphs via Energy-Based Masking
Xufeng Liu, Wenhan Gao, Yi Liu, June 2026
[openreview] [pdf] [bib] -
What do near-optimal learning rate schedules look like?
Hiroki Naganuma, Atish Agarwala, Priya Kasimbeg, George E. Dahl, June 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Domain Adaptation for Cold-Start Users in Sequential Recommendation
Lu Wang, Wenyu Zhang, Wang Chengke, Guimei Liu, Ye Luo, June 2026
[openreview] [pdf] [bib] [code] [video] -
Modelling Complex Tabular Datasets with a Mixture of Diverse Generative Models
Faul Antoine, Xiao Zhou, Ossi Räisä, Mihaela van der Schaar, Cem Tekin, June 2026
[openreview] [pdf] [bib] [code] -
Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning
Disha Hegde, Jon Cockayne, Chris J. Oates, June 2026
[openreview] [pdf] [bib] -
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
Dongfu Jiang, Yi Lu, Zhuofeng Li, Zhiheng Lyu, Ping Nie, Haozhe Wang, Alex Su, Hui Chen, Kai Zou, Chao Du, Tianyu Pang, Wenhu Chen, June 2026
[openreview] [pdf] [bib] -
Deep Sprite-based Image Models: An Analysis
Zeynep Sonat Baltaci, Romain Loiseau, Mathieu Aubry, June 2026
[openreview] [pdf] [bib] [code] -
Hardware Acceleration for Neural Networks: A Comprehensive Survey
BIN XU, Ayan Banerjee, Sandeep Gupta, June 2026
[openreview] [pdf] [bib]
Certifications: Survey -
LMA: Latent Motion Adjuster for Physics-based Multi-agent Interaction
Taiki Yano, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto, June 2026
[openreview] [pdf] [bib] [code] [video] -
Continual Memorization of Factoids in Language Models
Howard Chen, Jiayi Geng, Adithya Bhaskar, Dan Friedman, Danqi Chen, June 2026
[openreview] [pdf] [bib] [code] -
SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs
Parsa Hosseini, Sumit Nawathe, Mazda Moayeri, Sriram Balasubramanian, Soheil Feizi, June 2026
[openreview] [pdf] [bib] [code] -
Self-Improvement as Coherence Optimization: A Theoretical Account
Tianyi Alex Qiu, Ahmed Ismail, Zhonghao He, Shi Feng, June 2026
[openreview] [pdf] [bib] -
Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior
Eva Yezerets, En Yang, Misha B. Ahrens, Adam Shabti Charles, June 2026
[openreview] [pdf] [bib] [code] -
Code Reasoning for Software Engineering Tasks: A Survey and A Call to Action
Saurabh Pujar, Ira Ceka, Irene L Manotas, Gail Kaiser, Baishakhi Ray, Shyam Ramji, June 2026
[openreview] [pdf] [bib] [code] -
Tabular Learning Revisited: An Empirical Study of Tabular Classification
Guri Zabërgja, Arlind Kadra, Christian Frey, Josif Grabocka, June 2026
[openreview] [pdf] [bib] -
Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables
Andres Potapczynski, Ravi Kiran Selvam, Tatiana Konstantinova, Malcolm Wolff, Kin G. Olivares, Ruijun Ma, Michael W. Mahoney, Andrew Gordon Wilson, Boris N. Oreshkin, Dmitry Efimov, June 2026
[openreview] [pdf] [bib] -
Reference-Guided Identity Preserving Face Restoration
Mo Zhou, Keren Ye, Viraj Shah, Kangfu Mei, Mauricio Delbracio, Peyman Milanfar, Vishal M. Patel, Hossein Talebi, June 2026
[openreview] [pdf] [bib] -
Robust Cross-Domain Alignment
Anish Chakrabarty, ARKAPRABHA BASU, Swagatam Das, June 2026
[openreview] [pdf] [bib] [code] -
LLM-Guider: A Language-Guided Discovery of Symbolic Pruning Metrics for Post-Training Sparsity in LLMs
Jędrzej Hasiura, Prashant Shivaram Bhat, Elahe Arani, Bahram Zonooz, June 2026
[openreview] [pdf] [bib] -
CADO: From Imitation to Cost Minimization for Heatmap-based Solvers in Combinatorial Optimization
Hyungseok Song, Deunsol Yoon, Kanghoon Lee, Han-Seul Jeong, Soonyoung Lee, Woohyung Lim, June 2026
[openreview] [pdf] [bib] -
Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models
Jaesung R. Park, Jaewook J. Suh, Youngjoon Hong, Ernest K. Ryu, June 2026
[openreview] [pdf] [bib] -
A Survey of Flow Matching in Reinforcement Learning
Nabuat Zaman Nahim, Fairoz Nower Khan, Peizhong Ju, June 2026
[openreview] [pdf] [bib] [video]
Certifications: Survey -
Bridging Mechanistic Interpretability and Prompt Engineering with Gradient Ascent for Interpretable Persona Control
Harshvardhan Saini, Yiming Tang, Dianbo Liu, June 2026
[openreview] [pdf] [bib] [code] -
RobustMAD: Evaluating Real-World Robustness of Multimodal Small Language Models for Deployable Anomaly Detection Assistants
Anushiya Arunan, Xin Li, Yan Qin, U-Xuan Tan, VUONG NHU KHUE, Xiaoli Li, Chau Yuen, June 2026
[openreview] [pdf] [bib] [code] -
NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning
Michael M. Jerge, David Evans, June 2026
[openreview] [pdf] [bib] [code] -
Maximizing Confidence Alone Improves Reasoning
Mihir Prabhudesai, Lili Chen, Alex Ippoliti, Katerina Fragkiadaki, Hao Liu, Deepak Pathak, June 2026
[openreview] [pdf] [bib] [code] -
Multitask Transformer Models for Demographic and Industry Profiling on Long-Form Blog Texts
Bahor Eshmirzayeva, Shirali Kadyrov, June 2026
[openreview] [pdf] [bib] [code] -
Differentially Private XGBoost Revisited: Is Random Decision Trees Really Better than Greedy Ones?
Erchi Wang, Arinbjörn Kolbeinsson, Luca Foschini, Yu-Xiang Wang, June 2026
[openreview] [pdf] [bib] -
Beyond Subtokens: A Rich Character Embedding for Low-Resource and Morphologically Complex Languages
Felix Schneider, Maria Gogolev, Sven Sickert, Joachim Denzler, June 2026
[openreview] [pdf] [bib] -
On The Scalability Of Forward Gradients, Evolution Strategies, And Control Variates
Jake Levi, Seth Nabarro, Mark van der Wilk, June 2026
[openreview] [pdf] [bib] [code] -
Reduced-Rank Outcome Compression for Causal Policy Optimization
Ezinne Nwankwo, Michael I. Jordan, Angela Zhou, June 2026
[openreview] [pdf] [bib] -
O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
Jianbiao Mei, Tao Hu, Daocheng Fu, Licheng Wen, Xuemeng Yang, Rong Wu, Pinlong Cai, Xinyu Cai, Xing Gao, Yu Yang, Chengjun Xie, Botian Shi, Yong Liu, Yu Qiao, June 2026
[openreview] [pdf] [bib] -
Temporal Variational Implicit Neural Representations
Batuhan Koyuncu, Rachael DeVries, Ole Winther, Isabel Valera, June 2026
[openreview] [pdf] [bib] -
Data Selection Through Iterative Self-Filtering for Vision-Language Settings
Andrei Liviu Nicolicioiu, Sarvjeet Singh Ghotra, Morgane M Moss, Aaron Courville, June 2026
[openreview] [pdf] [bib] -
TERC: A Transfer Entropy Redundancy Criterion for State Variable Selection in Reinforcement Learning
Charles Westphal, Stephen Hailes, Mirco Musolesi, June 2026
[openreview] [pdf] [bib] -
Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines
Sadman Kabir Soumik, June 2026
[openreview] [pdf] [bib] [code] [video] -
Adaptive Budget Allocation for Orthogonal Subspace Adapter Tuning in LLMs Continual Learning
Zhiyi Wan, Wanrou Du, Yijia Chi, Liang Li, Miao Pan, Xiaoqi Qin, June 2026
[openreview] [pdf] [bib] -
TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
Zhangchen Xu, Yuetai Li, Fengqing Jiang, Bhaskar Ramasubramanian, Luyao Niu, Basel Alomair, Bill Yuchen Lin, Radha Poovendran, June 2026
[openreview] [pdf] [bib] [code] -
Firewalls to Secure Dynamic LLM Agentic Networks
Sahar Abdelnabi, Amr Gomaa, Eugene Bagdasarian, Per Ola Kristensson, Reza Shokri, June 2026
[openreview] [pdf] [bib] [code] -
DAG-aware GAT for Causal Effect Estimation
Manqing Liu, David Remy Bellamy, Andrew Beam, June 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
NAS Without Priors: A Robust Architecture Search Framework for Unseen-Data
Shahid Siddiqui, Christos Kyrkou, Theocharis Theocharides, June 2026
[openreview] [pdf] [bib] [code] -
Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic
Siqi Zeng, Yifei He, Meitong Liu, Weiqiu You, Yifan HAO, Yao-Hung Hubert Tsai, Makoto Yamada, Han Zhao, June 2026
[openreview] [pdf] [bib] [code] [video] -
CentroidKV: Efficient Long-Context LLM Inference via KV Cache Clustering
Jie Hu, Shengnan Wang, Yutong He, Ping Gong, Jiawei Yi, Juncheng Zhang, Youhui Bai, Renhai Chen, Gong Zhang, Cheng Li, Kun Yuan, June 2026
[openreview] [pdf] [bib] [code] -
PERRY: Policy Evaluation with Confidence Intervals using Auxiliary Data
Aishwarya Mandyam, Jason Meng, Ge Gao, Jiankai Sun, Mac Schwager, Barbara E Engelhardt, Emma Brunskill, June 2026
[openreview] [pdf] [bib] -
LoLA: Low-Rank Linear Attention with Sparse Caching
Luke McDermott, Robert W. Heath, Rahul Parhi, June 2026
[openreview] [pdf] [bib] [code] -
Gaga: Group Any Gausians via 3D-aware Memory Bank
Weijie Lyu, Xueting Li, Abhijit Kundu, Yi-Hsuan Tsai, Ming-Hsuan Yang, June 2026
[openreview] [pdf] [bib] [code] [video] -
Trace Reconstruction with Language Models
Franziska Weindel, Michael Girsch, Reinhard Heckel, June 2026
[openreview] [pdf] [bib] [code] -
Rethinking On-policy Optimization for Query Augmentation
Zhichao Xu, Shengyao Zhuang, Xueguang Ma, Bingsen Chen, Yijun Tian, Fengran Mo, Tao Li, Jie Cao, Vivek Srikumar, June 2026
[openreview] [pdf] [bib] -
Beyond the Linear Separability Ceiling: Aligning Representations in VLMs
Enrico Vompa, Tanel Tammet, Mohit Vaishnav, June 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
PLGC: Pseudo-Labeled Graph Condensation
Jay Nandy, Arnab Kumar Mondal, Anuj Rathore, Mahesh Chandran, June 2026
[openreview] [pdf] [bib] [code] -
Uncertainty-Aware Safety Propagation Critics for Safe Reinforcement Learning
Kutay Demiray, Efe Eren Ceyani, Ozgur S. Oguz, June 2026
[openreview] [pdf] [bib] -
Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation
Johanna Sommer, Nils Fleischmann, John Rachwan, Stephan Günnemann, Bertrand Charpentier, June 2026
[openreview] [pdf] [bib] [code] [video] -
Inference-Time Scaling for Joint Audio-Video Generation
Jaemin Jung, Kyeongha Rho, Inkyu Shin, Joon Son Chung, June 2026
[openreview] [pdf] [bib] [code] [video] -
Zero-Shot Model Search via Text-to-Logit Matching
Jonathan Kahana, Or Nathan, Eliahu Horwitz, Yedid Hoshen, June 2026
[openreview] [pdf] [bib] -
ImageNot: A contrast with ImageNet preserves model rankings
Olawale Elijah Salaudeen, Moritz Hardt, June 2026
[openreview] [pdf] [bib] -
An Efficient End-to-End Framework for Localized Second-Order Pooling
Zhongyan Zhang, Saimunur Rahman, Piotr Koniusz, Luping Zhou, Lei Wang, June 2026
[openreview] [pdf] [bib] -
Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study
Dylan Bouchard, Mohit Singh Chauhan, Viren Bajaj, David Skarbrevik, June 2026
[openreview] [pdf] [bib] [code] -
Forge: Foundational Optimization Representations from Graph Embeddings
Zohair Shafi, Serdar Kadioglu, June 2026
[openreview] [pdf] [bib] [code] [video] -
Adapting to Any Bit-Width: Channel-Wise Mixed-Precision Quantization for LLMs
Zihan Chen, BIKE XIE, Jundong Li, Cong Shen, June 2026
[openreview] [pdf] [bib] -
Reproducing FACTER: Fairness via Conformal Thresholding and Prompt Repair
Oscar Miró López-Feliu, Daimy van Loo, Xanthos Kekkos, Mikel Blom, Clara Rus, June 2026
[openreview] [pdf] [bib] [code] -
Fac-TDMPC: A Factored World Model for Robot Planning
Yuan Zhang, Jianhong Wang, Jinke He, Frans A Oliehoek, Joschka Boedecker, June 2026
[openreview] [pdf] [bib] -
Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms
Kongchang Zhou, Tingyu Zhang, Wei Chen, Fang Kong, June 2026
[openreview] [pdf] [bib] -
The Expanded Othello AI Arena: Evaluating Intelligent Systems Through Constrained Adaptation to Unseen Conditions
Byunghwa Yoo, Sundong Kim, KyungJoong Kim, June 2026
[openreview] [pdf] [bib] -
Learning with Differentially Private Sliced Wasserstein Gradients
David Rodríguez-Vítores, Clément Lalanne, Jean-Michel Loubes, June 2026
[openreview] [pdf] [bib] [code] -
Is Oracle Pruning the True Oracle? -- A Sanity-Check of Neural Network Pruning with Retraining
Sicheng Feng, Keda TAO, Huan Wang, June 2026
[openreview] [pdf] [bib] [code] -
FedProTIP: Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection
Seohyeon Cha, Huancheng Chen, Haris Vikalo, June 2026
[openreview] [pdf] [bib] [code] -
Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics
Rajdeep Pathak, Tanujit Chakraborty, June 2026
[openreview] [pdf] [bib] [code] -
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles
Amir Ali Farzin, Yuen-Man Pun, Philipp Braun, Iman Shames, June 2026
[openreview] [pdf] [bib] [code] -
Disentangling Intrinsic Importance from Emergent Structure in Multi-Expert Orchestration
Sudipto Ghosh, Sujoy Nath, Sunny Manchanda, Tanmoy Chakraborty, June 2026
[openreview] [pdf] [bib] [code] [video] -
SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models
Feng Wu, Harsh Deep, Eric Lehman, Sanyam Kapoor, Guoshuai Zhao, Rahul G Krishnan, Gari Clifford, Li-wei H. Lehman, June 2026
[openreview] [pdf] [bib] -
Jacobian-Aware Posterior Sampling for Inverse Problems
Liav Hen, Tom Tirer, Raja Giryes, Shady Abu-Hussein, June 2026
[openreview] [pdf] [bib] [code] -
Recursive Deep Inverse Reinforcement Learning
Paul Ghanem, Owen Lewis Howell, Michael Potter, Pau Closas, Alireza Ramezani, Deniz Erdogmus, Tales Imbiriba, June 2026
[openreview] [pdf] [bib] -
Client-Level Defense Placement for Adversarially Robust Federated Reinforcement Learning
Anish Ambreth, K Naveen Kumar, Mohsen Guizani, June 2026
[openreview] [pdf] [bib] [code] -
A Survey on the Abstraction and Reasoning Corpus
Severin Bratus, David F. Jenny, Andreas Plesner, Roger Wattenhofer, June 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Imbalanced Semi-Supervised Learning via Label Refinement and Threshold Adjustment
Zeju Li, Ying-Qiu Zheng, Chen Chen, Saad Jbabdi, June 2026
[openreview] [pdf] [bib] [code] -
Do Object Channels Improve Robustness in Deep Reinforcement Learning?
Jannis Blüml, Cedric Derstroff, Bjarne Gregori, Elisabeth Dillies, Quentin Delfosse, Kristian Kersting, June 2026
[openreview] [pdf] [bib] [code] [video] -
CMOOD: Concept-based Multi-label OOD Detection
Zhendong Liu, Yi Nian, Yuehan Qin, Henry Peng Zou, Li Li, Xiyang Hu, June 2026
[openreview] [pdf] [bib] -
Solving Constrained Optimization Problems as ODE-based Models Using Reinforcement Learning
Han Meng, Xinsong Feng, Yang Li, Chenan Wang, Kishansingh Rajput, Malachi Schram, Haipeng Chen, June 2026
[openreview] [pdf] [bib] -
CUDA: Capturing Uncertainty and Diversity in Preference Feedback Augmentation
Sehyeok Kang, Jaewook Jeong, Se-Young Yun, June 2026
[openreview] [pdf] [bib] [code] -
Oracle-RLAIF: An Improved Fine-Tuning Framework for Multi-modal Video Models using Reinforcement Learning from Ranked Feedback
Derek Shi, Ruben Glatt, Christine Klymko, Hongjun Choi, Shashank Kushwaha, Wesam A. Sakla, Felipe Leno da Silva, June 2026
[openreview] [pdf] [bib] -
Solving Truly Massive Budgeted Monotonic POMDPs with Oracle-Guided Meta-Reinforcement Learning
Manav Vora, Jonas Liang, Michael N Grussing, Melkior Ornik, June 2026
[openreview] [pdf] [bib] [code] -
Multi-Constraint Online Convex Optimization with Adversarial Constraints
Wentao Zhang, June 2026
[openreview] [pdf] [bib] -
MOONSHOT: A Framework for Multi-Objective Pruning of Vision and Large Language Models
Gabriel Afriat, Xiang Meng, Shibal Ibrahim, Hussein Hazimeh, Rahul Mazumder, June 2026
[openreview] [pdf] [bib] -
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Taiwei Shi, Yiyang Wu, Linxin Song, Tianyi Zhou, Jieyu Zhao, June 2026
[openreview] [pdf] [bib] [code] -
A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
Ching Chang, Yidan Shi, Defu Cao, Wei Yang, Jeehyun Hwang, Haixin Wang, Jiacheng Pang, Wei Wang, Yan Liu, Wen-Chih Peng, Tien-Fu Chen, June 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Feedback-Driven Vision-Language Alignment via Sampling-based Visual Projection
Giorgio Giannone, Yev V Perevodchikov, Qianli Feng, Ruoteng Li, Rui Chen, Aleix M Martinez, June 2026
[openreview] [pdf] [bib] [code] -
Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approaches
Feng Zhou, Quyu Kong, Jie Qiao, Cheng Wan, Yixuan Zhang, Ruichu Cai, June 2026
[openreview] [pdf] [bib]
Certifications: Survey -
When Test-Time Training Fails: A Critical Analysis of Robustness and Hyperparameter Sensitivity
Ziqi Wang, Xiusi Chen, Gaotang Li, Heng Ji, Tong Zhang, June 2026
[openreview] [pdf] [bib] -
United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory
HaoYang Shang, Xuan Liu, Zi Liang, Jie ZHANG, Haibo Hu, Song Guo, June 2026
[openreview] [pdf] [bib] -
When Lifelong Novelty Fails: Coordination Breakdown in Decentralised MARL
Ting Zhu, Yue Jin, Giovanni Montana, June 2026
[openreview] [pdf] [bib] -
Adaptive Rank Control for Robust Reinforcement Learning
Chenliang Li, Junyu Leng, Jiaxiang Li, Youbang Sun, Shixiang Chen, Shahin Shahrampour, Alfredo Garcia, June 2026
[openreview] [pdf] [bib] -
Supervised Quadratic Feature Analysis: Information Geometry for Dimensionality Reduction
Daniel Herrera-Esposito, Johannes Burge, June 2026
[openreview] [pdf] [bib] [code] -
Discovering Hidden Algebraic Structures via Transformers with Rank-Aware Beam GRPO
Gio Huh, Jaeha Lee, Ning Su, Tony Yue YU, June 2026
[openreview] [pdf] [bib] -
CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents
Adhiraj Banerjee, Vipul Arora, June 2026
[openreview] [pdf] [bib] [code] [video] -
LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models
Shubhang Bhatnagar, Andy Xu, Kar-Han Tan, Narendra Ahuja, June 2026
[openreview] [pdf] [bib] -
Hierarchical Multi-Level 3D Geometry Generation with Stress-Aware Learning
Vadim Zlobin, Vladislav Puzach, Olga Bidlevich, Mikhail Chetnev, Vitaly Gromov, June 2026
[openreview] [pdf] [bib] [code] -
GUI-KV: Efficient GUI Agents via KV Cache with Spatio-Temporal Awareness
Kung-Hsiang Huang, Haoyi Qiu, Yutong Dai, Caiming Xiong, Chien-Sheng Wu, June 2026
[openreview] [pdf] [bib] -
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation
Wentao Ma, Weiming Ren, Yiming Jia, Zhuofeng Li, Ping Nie, Ge Zhang, Wenhu Chen, June 2026
[openreview] [pdf] [bib] [code] -
ViscoReg: Neural Signed Distance Functions via Viscosity Solutions
Meenakshi Krishnan, Ramani Duraiswami, June 2026
[openreview] [pdf] [bib] [code] -
Broadcast Product: Redefining Shape-aligned Element-wise Multiplication and Beyond
Yusuke Matsui, Tatsuya Yokota, June 2026
[openreview] [pdf] [bib] [code] -
From Offline to Online Memory-Free and Task-Free Continual Learning via Fine-Grained Hypergradients
Nicolas Michel, Maorong Wang, Jiangpeng He, Toshihiko Yamasaki, June 2026
[openreview] [pdf] [bib] [code] -
Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics
Ihor Kendiukhov, June 2026
[openreview] [pdf] [bib] -
Feedback-Driven Black-Box Safety Alignment Testing of Large Language Models via Reinforcement Learning
Xuan Chen, Yuzhou Nie, Lu Yan, Mingwei Zheng, Yunshu Mao, Wenbo Guo, Xiangyu Zhang, June 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
What is a Number, That a Large Language Model May Know It?
Raja Marjieh, Veniamin Veselovsky, Thomas L. Griffiths, Ilia Sucholutsky, June 2026
[openreview] [pdf] [bib] -
Unlocking The Power Of Layer-By-Layer Training And Fine- Tuning
Liron Gelbard, Shay Landis, David Yannai, Assaf Touboul, June 2026
[openreview] [pdf] [bib] -
Theoretical Foundations of Continual Learning via Drift-Plus-Penalty
Nazreen Shah, Govinda Arya, Bharath B N, Ranjitha Prasad, June 2026
[openreview] [pdf] [bib] [code] -
TropNNC: Structured Neural Network Compression Using Tropical Geometry
Konstantinos Fotopoulos, Petros Maragos, Panagiotis Misiakos, June 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Dynamic guessing for Hamiltonian Monte Carlo with embedded numerical root-finding
Teddy Groves, Nicholas Luke Cowie, Lars Keld Nielsen, June 2026
[openreview] [pdf] [bib] -
One Rank at a Time: Cascading Error Dynamics in Sequential Learning
Mahtab Alizadeh Vandchali, Fangshuo Liao, Anastasios Kyrillidis, June 2026
[openreview] [pdf] [bib] [code] -
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong, Jie Hao, Mingrui Liu, June 2026
[openreview] [pdf] [bib] -
Replicability is Asymptotically Free in Multi-armed Bandits
Junpei Komiyama, Shinji Ito, Yuichi Yoshida, Souta Koshino, June 2026
[openreview] [pdf] [bib]
Certifications: J2C -
NEUTAG: Graph Transformer for Attributed Graphs
Shubham Gupta, Sayan Ranu, Srikanta Bedathur, June 2026
[openreview] [pdf] [bib] -
Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis
Yan Wang, Tianyang Hu, June 2026
[openreview] [pdf] [bib] [code] -
Attention-Head Binding as a Term-Conditioned Mechanistic Marker of Accessibility Concept Emergence in Language Models
Khanh-Dung Tran, June 2026
[openreview] [pdf] [bib] [code] [video] -
VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation
Xuan Qi, Daniele Berardini, Dario Serez, Vito Paolo Pastore, Vittorio Murino, June 2026
[openreview] [pdf] [bib] [code] -
Rethinking Dataset Quantization: Efficient Coreset Selection via Semantically-Aware Data Augmentation
Yangze Liu, Hong Liu, June 2026
[openreview] [pdf] [bib] [code] -
Let's Measure Information Step-by-Step: AI-Based Evaluation Beyond Vibes
Zachary Robertson, Sanmi Koyejo, June 2026
[openreview] [pdf] [bib] [code] -
Expressivity Saturation: Reduced Affine Region Usage Under Increasing Task Complexity
Xuan Qi, Yi Wei, Fanqi Yu, Manuel Lecha, June 2026
[openreview] [pdf] [bib] -
Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting
Archer Dodson, Ritabrata Dutta, June 2026
[openreview] [pdf] [bib] [code] -
Iterative Preference Optimization with Proximal Policy Regularization for Large Language Model Alignment
Siyuan Xu, Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Yue Mao, Shicheng Liu, June 2026
[openreview] [pdf] [bib] -
Conditional Local Importance by Quantile Expectations
Kelvyn K. Bladen, Adele Cutler, D. Richard Cutler, Kevin R. Moon, June 2026
[openreview] [pdf] [bib] [code] -
Test-Time Adaptation of Vision-Language Models with Low-Rank Pseudo-Consistency
Shuvendu Roy, Ali Etemad, June 2026
[openreview] [pdf] [bib] -
Structured Noise Adaptation for Sequential Bayesian Filtering with Embedded Latent Transfer Operators
NAICHANG KE, Pongpisit Thanasutives, Yoshinobu Kawahara, June 2026
[openreview] [pdf] [bib] [code] -
Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences
Andrew Kyle Lampinen, Martin Engelcke, Yuxuan Li, Arslan Chaudhry, James McClelland, June 2026
[openreview] [pdf] [bib] -
Fallback-Enabled Closed-Set Classification: Cross-Modal Consistency in Vision-Language Models
Sijia Wang, Ricardo Henao, June 2026
[openreview] [pdf] [bib] -
A Unified Theory of Sinusoidal Activation Families for Implicit Neural Representations
Alireza Morsali, MohammadJavad Vaez, Mohammad Hossein Soltani, Amirhossein Kazerouni, Babak Taati, Morteza Mohammad-Noori, June 2026
[openreview] [pdf] [bib] [code] -
CURS: An exact method for sampling on Riemannian manifolds
Isabella Costa Maia, Pedro L. C. Rodrigues, Marco Congedo, Salem SAID, June 2026
[openreview] [pdf] [bib] [code] -
Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
Daniel Daza, Alberto Bernardi, Luca Costabello, Christophe Gueret, Masoud Mansoury, Michael Cochez, M.C. Schut, June 2026
[openreview] [pdf] [bib] [code] -
Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos
Albert J. Zhai, Kuo-Hao Zeng, Jiasen Lu, Ali Farhadi, Shenlong Wang, Wei-Chiu Ma, June 2026
[openreview] [pdf] [bib] [video] -
Point-It-Out: Benchmarking Embodied Reasoning for Vision Language Models in Multi-Stage Visual Grounding
Haotian Xue, Yunhao Ge, Yu Zeng, Zhaoshuo Li, Ming-Yu Liu, Yongxin Chen, Jiaojiao Fan, June 2026
[openreview] [pdf] [bib] [code] -
Taming Modality Entanglement in Continual Audio-Visual Segmentation
Yuyang Hong, Qi Yang, Tao Zhang, Zili Wang, Zhaojin Fu, Kun Ding, Bin Fan, Shiming Xiang, June 2026
[openreview] [pdf] [bib] -
Concatenated Matrix SVD: Compression Bounds, Incremental Approximation, and Error-Constrained Clustering
Maksym Shamrai, June 2026
[openreview] [pdf] [bib] [code] -
A Survey on Benchmarks of LLM-based GUI Agents
Yihong Chen, Shuai Wang, Yaqing Wang, Quanming Yao, June 2026
[openreview] [pdf] [bib] -
Design Criteria for SGD Preconditioners: Local Conditioning, Noise Floors, and Basin Stability
Mitchell T. Scott, Tianshi Xu, Ziyuan Tang, Alexandra Pichette-Emmons, Qiang Ye, Yousef Saad, Yuanzhe Xi, June 2026
[openreview] [pdf] [bib] [video] -
Transform-Triggered Adversarial Examples
Yaoteng Tan, Zikui Cai, Salman Asif, June 2026
[openreview] [pdf] [bib] -
SSM-PixNav: State Space Models for Pixel-Guided Embodied Navigation
Athira Krishnan R, Sumohana S. Channappayya, June 2026
[openreview] [pdf] [bib] -
Countering Backdoor Attacks in Image Recognition: A Survey and Evaluation of Mitigation Strategies
Kealan Dunnett, Reza Arablouei, Volkan Dedeoglu, Dimity Miller, Raja Jurdak, June 2026
[openreview] [pdf] [bib] -
Causal Emotion Recognition in Conversation: Context Saturation and Discourse-Marker Evidence
Cheonkam Jeong, Adeline Nyamathi, June 2026
[openreview] [pdf] [bib] [code] -
Efficient Zeroth-Order Federated Finetuning of Language Models on Resource-Constrained Devices
Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Ramin Khalili, Heba Khdr, Joerg Henkel, June 2026
[openreview] [pdf] [bib] -
LiSeCo: Linear Semantic Control for Language Generation
Emily Cheng, Carmen Amo Alonso, June 2026
[openreview] [pdf] [bib] -
ARROW: Augmented Replay for RObust World models
Abdulaziz Alyahya, Abdallah Al Siyabi, Markus R. Ernst, Luke Yang, Levin Kuhlmann, Gideon Kowadlo, June 2026
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility J2C -
Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space
Di Wu, Huan Liu, Zhixiang Chi, YUANHAO YU, Konstantinos N. Plataniotis, Yang Wang, June 2026
[openreview] [pdf] [bib] -
Efficient Block Bi-clustering by Alternating Semidefinite Programming Relaxation
Yuxin Ma, Weiguo Gao, Xiang ZHOU, June 2026
[openreview] [pdf] [bib] -
Persistent homology for time series: a selective review
Alexandre Bois, Hugo Henneuse, Brian Tervil, Laurent Oudre, June 2026
[openreview] [pdf] [bib] -
Encoding Without Influence: Dissociating Demographic Representation from Causal Effect in Large Language Models
Aarushi Sharma, Phong Le, June 2026
[openreview] [pdf] [bib] [code] -
Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping
Linzh Zhao, Aki Rehn, Mikko A. Heikkilä, Razane Tajeddine, Antti Honkela, June 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Video Generation Models: A Survey of Post-Training and Alignment
Chaoyu Li, Xiaoyi Gu, Yogesh Kulkarni, Eun Woo Im, Mohammadmahdi Honarmand, Zeyu Wang, Juntong Song, Fei Du, Xilin Jiang, Kexin Zheng, Tianzhi Li, Fei Tao, Pooyan Fazli, June 2026
[openreview] [pdf] [bib] -
Querying Kernel Methods Suffices for Reconstructing their Training Data
Daniel Barzilai, Yuval Margalit, Eitan Gronich, Gilad Yehudai, Meirav Galun, Ronen Basri, June 2026
[openreview] [pdf] [bib] [code] -
Diffusion-based Cumulative Adversarial Purification for Vision Language Models
Jia Fu, Yongtao Wu, Yihang Chen, Kunyu Peng, Xiao Zhang, Volkan Cevher, Sepideh Pashami, Anders Holst, June 2026
[openreview] [pdf] [bib] [code] -
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data
Kaituo Zhang, Mingzhi Hu, Hoang Anh Duy Le, Fariha Kabir Torsha, Zhimeng Jiang, Minh Khai Bui, Chia-Yuan Chang, Yu-Neng Chuang, Zhen Xiong, Ying Lin, Guanchu Wang, Na Zou, June 2026
[openreview] [pdf] [bib] -
CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs
Raman Dutt, Pedro Sanchez, Yongcheng Yao, Steven McDonagh, Sotirios A. Tsaftaris, Timothy Hospedales, June 2026
[openreview] [pdf] [bib] [code] -
Amnesia: A Stealthy Replay Attack on Continual Learning Dreams
Ahmed Sharshar, K Naveen Kumar, Mohsen Guizani, June 2026
[openreview] [pdf] [bib] [code] -
CAPTAIN: Conformal-Prediction-Based Multi-Source Time-Series Forecasting
Shuaicheng Zhang, Tuo Wang, Adithya Kulkarni, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou, June 2026
[openreview] [pdf] [bib] [code] -
Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification
Antonio De Santis, Riccardo Campi, Matteo Bianchi, Marco Brambilla, June 2026
[openreview] [pdf] [bib] [code] -
Mitigating Embedding Leakage via Latent Disruption with Controlled Reconstruction
Zhiyuan Wu, Changkyu Choi, Shujian Yu, Robert Jenssen, Ali Ramezani-Kebrya, June 2026
[openreview] [pdf] [bib] -
RPWithPrior: Label Differential Privacy in Regression
Haixia Liu, Ruifan Huang, June 2026
[openreview] [pdf] [bib] [code] -
It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces
Leonhard F. Feiner, Manuel Nickel, Martin J. Menten, Laurin Lux, Rickmer Braren, Daniel Rueckert, Georgios Kaissis, Raphael Rehms, Johannes C. Paetzold, June 2026
[openreview] [pdf] [bib] [code] -
Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition
Cem Üyük, Mike Lasby, Mohamed Yassin, Utku Evci, Yani Ioannou, June 2026
[openreview] [pdf] [bib] [code] -
Rectified Flows for Fast Multiscale Fluid Flow Modeling
Victor Armegioiu, Yannick Ramic, Siddhartha Mishra, June 2026
[openreview] [pdf] [bib] -
Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
Prateek Mittal, Joohi Chauhan, June 2026
[openreview] [pdf] [bib] [code] [video] -
Learning Materials Interatomic Potentials via Hybrid Invariant-Equivariant Architectures
Keqiang Yan, Montgomery Bohde, Andrii Kryvenko, Ziyu Xiang, Kaiji Zhao, Siya Zhu, Saagar Kolachina, Doğuhan Sarıtürk, Jianwen Xie, Raymundo Arroyave, Xiaoning Qian, Xiaofeng Qian, Shuiwang Ji, June 2026
[openreview] [pdf] [bib] [code] -
Disjoint Generation of Synthetic Data
Anton Danholt Lautrup, Muhammad Rajabinasab, Tobias Hyrup, Arthur Zimek, Peter Schneider-Kamp, June 2026
[openreview] [pdf] [bib] [code] -
LLM-Guided Search for Deletion-Correcting Codes
Franziska Weindel, Reinhard Heckel, June 2026
[openreview] [pdf] [bib] [code] -
Index2Sort: Sorting Algorithm Using Static Index Structure
Atsuki Sato, Yusuke Matsui, June 2026
[openreview] [pdf] [bib] -
Twin: Tuning Learning Rate and Weight Decay of Deep Homogeneous Classifiers without Validation
Lorenzo Brigato, Stavroula Mougiakakou, June 2026
[openreview] [pdf] [bib] [code] -
Robust Recourse via Kernel Distributionally Robust Optimization and Bayesian Posterior Predictive Modeling
Sita bissu, Navnit Kumar Yadav, APARNA MEHRA, Sandeep Kumar, June 2026
[openreview] [pdf] [bib] -
BitLogic: A Framework for Gradient-Based LUT-Native Neural Networks
Simon Jonas Bührer, Andreas Plesner, Till Aczel, Roger Wattenhofer, June 2026
[openreview] [pdf] [bib] [code] -
Insights From a Data- and Space-Agnostic Approach to Zero-Cost Proxies
Timotée Ly-Manson, Mathieu Léonardon, Abdeldjalil AISSA EL BEY, June 2026
[openreview] [pdf] [bib] -
Transforming Language Models into Program Interpreters via Execution Trace Chain of Thought
Koshi Eguchi, Kazusato Oko, Kenshin Yamauchi, Makoto Shing, Takuya Akiba, June 2026
[openreview] [pdf] [bib] -
LARP: Learner-Agnostic Robust Data Prefiltering
Kristian Minchev, Dimitar Iliev Dimitrov, Nikola Konstantinov, June 2026
[openreview] [pdf] [bib] [code] [video] -
RSQ: Learning from Important Tokens Leads to Better Quantized LLMs
Yi-Lin Sung, Prateek Yadav, Jialu Li, Jaehong Yoon, Mohit Bansal, June 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
ReciNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction
Jianan Nie, Peiyao Xiao, Kaiyi Ji, Peng Gao, June 2026
[openreview] [pdf] [bib] [code] -
Family Matters: A Systematic Study of Spatial vs. Frequency Masking for Continual Test-Time Adaptation
Chandler Timm Cagmat Doloriel, Yunbei Zhang, Yeonguk Yu, Taki Hasan Rafi, Muhammad salman siddiqui, Tor Kristian Stevik, Fadi Al Machot, Kristian Hovde Liland, Habib Ullah, June 2026
[openreview] [pdf] [bib] [code] -
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Paschalidis, June 2026
[openreview] [pdf] [bib] -
When Glass Disappears at Night: A Novel NIR-RGB Multimodal Solution
Tao Yan, Yiwei Lu, Ke Xu, Hao Chen, Hui Li, Xiaojun Chang, Xiaojun Wu, Rynson W. H. Lau, June 2026
[openreview] [pdf] [bib] [code] -
Implicit geometric regularization in flow matching via density weighted Stein operators
Shinto Eguchi, June 2026
[openreview] [pdf] [bib] [code] -
When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering
Mahdi Astaraki, Mohammad Arshi Saloot, Ali Shiraee Kasmaee, Hamidreza Mahyar, Soheila Samiee, June 2026
[openreview] [pdf] [bib] [code] -
Scalable Ensemble Federated Learning with Enhanced Open-Set Recognition
Mustafa Siddiqui, Muhammad Tahir, June 2026
[openreview] [pdf] [bib] [code] -
Random Character-Level Perturbations Amplify LLM Jailbreak Attacks
Shuyi Yu, Zhe Cao, Kohei Tsuji, Yusuke Sakai, Hidetaka Kamigaito, Jingun Kwon, Manabu Okumura, Taro Watanabe, June 2026
[openreview] [pdf] [bib] -
MSTN: A Lightweight and Fast Model for General Time-Series Analysis
Sumit S Shevtekar, Chandresh Kumar Maurya, June 2026
[openreview] [pdf] [bib] [code] -
Uncovering Language Model Processing Strategies with Non-Negative Per-Example Fisher Factorization
Michael S Matena, Colin Raffel, June 2026
[openreview] [pdf] [bib] [code] -
Let Me Explain, Again: Multiplicity in Local Sufficient Explanations
Ryan Pilgrim, Beepul Bharti, Kyle Poe, Rene Vidal, Jeremias Sulam, June 2026
[openreview] [pdf] [bib] [code] -
Towards Preventing Global Knowledge Forgetting in Federated Learning with Non-IID Data
Abhijit Chunduru, Majid Morafah, Mahdi Morafah, Vishnu Pandi Chellapandi, Ang Li, June 2026
[openreview] [pdf] [bib] [code] -
Discovering Meaningful Units with Visually Grounded Semantics from Image Captions
Melika Behjati, James Henderson, June 2026
[openreview] [pdf] [bib] -
Trip-to-Gaussian: A Versatile Framework for Unconditional 3D Generation
Youngwoo Jeon, Inhyeok Choi, Jaehyeok Shim, Sangjune Park, Kyungdon Joo, June 2026
[openreview] [pdf] [bib] [code] -
On the Relationship Between CoCoA and ADMM for Distributed Empirical Risk Minimization
Runxiong Wu, Andi Wang, June 2026
[openreview] [pdf] [bib] -
Expected Free Energy-based Planning as Variational Inference
Wouter W. L. Nuijten, Thijs van de Laar, Bert de Vries, June 2026
[openreview] [pdf] [bib] [code] -
Reasoning-Aware Multimodal Fusion for Hateful Video Detection
Shuonan Yang, Tailin Chen, Jiangbei Yue, Guangliang Cheng, Jianbo Jiao, ZEYU FU, June 2026
[openreview] [pdf] [bib] [code] -
Universal Latent Homeomorphic Manifolds: A Framework for Cross-Domain Representation Unification
Tong Wu, Tayab Uddin Wara, Daniel Hernandez, Sidong Lei, June 2026
[openreview] [pdf] [bib] [code] [video] -
Evaluating the Reversal Curse in Model Editing
Hao-Xiang Xu, Jun-Yu Ma, Zhen-Hua Ling, Quan Liu, Cong Liu, Jia-Chen Gu, June 2026
[openreview] [pdf] [bib] -
Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study
Valentijn Oldenburg, Floris de Kam, Stef de Wildt, Jarno Nilson Balk, June 2026
[openreview] [pdf] [bib] [code] -
Towards Understanding the Transferability of Adversarial Suffixes in Large Language Models
Sarah Ball, Niki Hasrati, Alexander Robey, Avi Schwarzschild, Frauke Kreuter, J Zico Kolter, Andrej Risteski, June 2026
[openreview] [pdf] [bib] -
Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation
Martin Gillis, Isaac Xu, Thomas Trappenberg, June 2026
[openreview] [pdf] [bib] [code] -
Point-Identification of a Robust Predictor Under Latent Shift with Imperfect Proxies
Zahra Rahiminasab, Reza Soumi, Arto Klami, Samuel Kaski, June 2026
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Legal Alignment for Safe and Ethical AI
Noam Kolt, Nicholas Caputo, Jack Boeglin, Cullen O'Keefe, Rishi Bommasani, Stephen Casper, Mariano-Florentino Cuellar, Noah Feldman, Iason Gabriel, Gillian K Hadfield, Lewis Hammond, Peter Henderson, Atoosa Kasirzadeh, Seth Lazar, Anka Reuel, Kevin Wei, Jonathan Zittrain, June 2026
[openreview] [pdf] [bib] -
Can LLMs Rank Candidates with Missing Sensitive Attributes Fairly?
Oluseun Olulana, Fabricio Murai, Elke Rundensteiner, June 2026
[openreview] [pdf] [bib] [code] -
MM-Eureka: Toward Stable Multimodal Reasoning via Rule-based Reinforcement Learning with Policy Drift Control
Fanqing Meng, Lingxiao Du, Zongkai Liu, Zhixiang Zhou, Quanfeng Lu, Tiancheng Han, Daocheng Fu, Kaipeng Zhang, Ping Luo, Yu Qiao, Jiaheng Zhang, Michael Qizhe Shieh, Qiaosheng Zhang, Wenqi Shao, June 2026
[openreview] [pdf] [bib] -
You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet
Zhen Qin, Yuxin Mao, Xuyang Shen, Dong Li, Jing Zhang, Yuchao Dai, Yiran Zhong, June 2026
[openreview] [pdf] [bib] -
Graph State Networks (GSNs): Persistent Nodewise Selective State Space Models
Arijit Dey, Bahman Gharesifard, June 2026
[openreview] [pdf] [bib] [code] -
Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics
Santiago Amaya-Corredor, Miguel Calvo-Fullana, Anders Jonsson, May 2026
[openreview] [pdf] [bib] [code] [video] -
HERMES: Heterogeneous Effects Representation with Matched Embeddings using Siamese Networks
Rocco Zaccagnino, Gerardo Benevento, Delfina Malandrino, Donatello Telesca, Alessia Ture, May 2026
[openreview] [pdf] [bib] -
Gradient Tree Boosting for Regression Transfer
Dag Björnberg, Jonas Nordqvist, Morgan Ericsson, Johan Lindeberg, Welf Löwe, Johan E.S. Fransson, May 2026
[openreview] [pdf] [bib] [code] -
InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning
Gautam Sreekumar, Vishnu Boddeti, May 2026
[openreview] [pdf] [bib] [code] -
Towards Representation Backdoor on CLIP via Concept Confusion
Junchi Liao, Weimin Lyu, Lijie Hu, Shaopeng Fu, Tianhao Huang, Shu Yang, Jie Li, Di Wang, May 2026
[openreview] [pdf] [bib]
Certifications: Reproducibility -
On Theoretical Identifiability of Binary Latent Causal Graphical Models
Seunghyun Lee, Yuqi Gu, May 2026
[openreview] [pdf] [bib] -
Prompt Optimization Meets Subspace Representation Learning for Few-shot Out-of-Distribution Detection
Faizul Rakib Sayem, Shahana Ibrahim, May 2026
[openreview] [pdf] [bib] [code] -
Efficient Ensembling Improves Training Data Attribution
Junwei Deng, Ting-Wei Li, Shichang Zhang, Jiaqi W. Ma, May 2026
[openreview] [pdf] [bib] -
What’s in the Bottle? A Survey and Roadmap of Concept Bottleneck Models
Patrick Knab, David Steinmann, Christian Bartelt, Kristian Kersting, Bernt Schiele, Thomas Seidl, Udo Schlegel, Wolfgang Stammer, May 2026
[openreview] [pdf] [bib] -
A Case for Vanilla SWD: New Perspectives on Informative Slices, Sliced-Wasserstein Distances, and Learning Rates
Huy Tran, Yikun Bai, Ashkan Shahbazi, John R. Hershey, David Hyde, Soheil Kolouri, May 2026
[openreview] [pdf] [bib] -
When Active Learning Meets Graph Similarity: Evidential Variance for Graph Selection
Chengtai Cao, Haoyu Yang, Shenglin Wang, Xinglin Lian, Fan Zhou, May 2026
[openreview] [pdf] [bib] -
ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation
Daniel Rho, Jun Myeong Choi, Biswadip Dey, Roni Sengupta, May 2026
[openreview] [pdf] [bib] [code] -
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems
Gabriel Mancino-Ball, Yangyang Xu, May 2026
[openreview] [pdf] [bib] [code] -
Efficient and Programmable Exploration of Synthesizable Chemical Space
Shitong Luo, Connor W. Coley, May 2026
[openreview] [pdf] [bib] [code] -
Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation
Zhichao Xu, Zongyu Wu, Yun Zhou, Aosong Feng, Kang Zhou, Sangmin Woo, Kiran Ramnath, Yijun Tian, Xuan Qi, Weikang Qiu, Lin Lee Cheong, Haibo Ding, May 2026
[openreview] [pdf] [bib] -
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
Precious Nwaorgu, Suraj Singireddy, Andre Beckus, Aden McKinney, Mahyar Alinejad, Chinwendu Enyioha, Sumit Kumar Jha, Alvaro Velasquez, George K. Atia, May 2026
[openreview] [pdf] [bib] [code] -
MIST: Mutual Information Estimation via Supervised Training
German Gritsai, Megan Richards, Maxime Méloux, Kyunghyun Cho, Maxime Peyrard, May 2026
[openreview] [pdf] [bib] -
Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models
Yuwen Tan, Boqing Gong, May 2026
[openreview] [pdf] [bib] [code] -
Maximum Mean Discrepancy with Unequal Sample Sizes via Generalized U-Statistics
Aaron Wei, Milad Jalali, Danica J. Sutherland, May 2026
[openreview] [pdf] [bib] -
Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning
Sze-Ann Chen, Zhi-Yi Chin, Kui-Yuan Chen, Chi-Yu Li, Ping-Chun Hsieh, May 2026
[openreview] [pdf] [bib] [code] -
When VMP Meets CEP: An Algorithmic Equivalence Under Mild Conditions
Siyuan Li, Shikai Fang, Lei Cheng, Yik-Chung WU, Sergios Theodoridis, May 2026
[openreview] [pdf] [bib] -
UFO2: The Desktop AgentOS
Chaoyun Zhang, He Huang, Chiming Ni, Jian Mu, Si Qin, Shilin He, Lu Wang, Fangkai Yang, Pu Zhao, Bo Qiao, Chao Du, Liqun Li, Yu Kang, Paul Jiang, Suzhen Zheng, Rujia Wang, Jiaxu Qian, Minghua Ma, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, May 2026
[openreview] [pdf] [bib] [code] -
Post-Training Augmentation Invariance
Keenan Eikenberry, Lizuo Liu, Yoonsang Lee, May 2026
[openreview] [pdf] [bib] [code] -
Local MDI+: Local Feature Importances for Tree-Based Models
Zhongyuan Liang, Zachary T. Rewolinski, Abhineet Agarwal, Tiffany Tang, Bin Yu, May 2026
[openreview] [pdf] [bib] [code] -
Cluster-Dags as Powerful Background Knowledge For Causal Discovery
Jan Marco Ruiz de Vargas, Kirtan Padh, Niki Kilbertus, May 2026
[openreview] [pdf] [bib] [code] -
Stretched Exponential Convergence of (Stochastic) Gradient Descent for Separable Logistic Regression
Sacchit Kale, Piyushi Manupriya, Pierre Marion, Francis Bach, Anant Raj, May 2026
[openreview] [pdf] [bib] [code] -
Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning
Yuheng Lei, Sitong Mao, Shunbo Zhou, Hongyuan Zhang, Xuelong Li, Ping Luo, May 2026
[openreview] [pdf] [bib] [code] [video] -
Decoupling Planning from Control: Stable Hierarchical RL with a Learned Metric Space
Sho Mitsuhashi, Shin Ishii, May 2026
[openreview] [pdf] [bib] [code] -
Explicit Second-Order Min-Max Optimization: Practical Algorithms and Complexity Analysis
Tianyi Lin, Panayotis Mertikopoulos, Michael I. Jordan, May 2026
[openreview] [pdf] [bib] [code] -
Unified Semantic Transformer for 3D Scene Understanding
Sebastian Koch, Johanna Wald, Hidenobu Matsuki, Pedro Hermosilla, Timo Ropinski, Federico Tombari, May 2026
[openreview] [pdf] [bib] -
Personalization Toolkit: Training Free Personalization of Large Vision Language Models
Soroush Seifi, Vaggelis Dorovatas, Matteo Cassinelli, Fabien Despinoy, Daniel Olmeda Reino, Rahaf Aljundi, May 2026
[openreview] [pdf] [bib] -
Soft Preference Optimization: Aligning Language Models to Expert Distributions
Arsalan Sharifnassab, Saber Salehkaleybar, Dale Schuurmans, May 2026
[openreview] [pdf] [bib] -
MMCOMPOSITION: Revisiting the Compositionality of Pre- trained Vision-Language Models
Hang Hua, Yolo Y. Tang, Ziyun Zeng, Liangliang Cao, Yang Zhengyuan, Hangfeng He, Chenliang Xu, Jiebo Luo, May 2026
[openreview] [pdf] [bib] [code] -
Some Robustness Properties of Label Cleaning
Chen Cheng, John Duchi, May 2026
[openreview] [pdf] [bib] -
The Out-of-sample Extensions of t-SNE: From Gradient Descent to Fixed-point Iteration Algorithms
Paul Honeine, May 2026
[openreview] [pdf] [bib] -
ChromaFormer: A Scalable and Accurate Transformer Architecture for Land Cover Classification
Mingshi Li, Dusan Grujicic, Ben Somers, Stien Heremans, Steven De Saeger, Matthew B. Blaschko, May 2026
[openreview] [pdf] [bib] -
Dynamic Regret with Untrusted Decision Predictions via Heterogeneous Expert Aggregation
Wentao Zhang, May 2026
[openreview] [pdf] [bib] -
A Survey on Foundations and Frontiers of Multimodal Agentic Frameworks: Techniques and Applications
Neel Mokaria, Rishie Raj, Dheeraj Baiju, Xiaoqian Shen, Shraman Pramanick, Kevin Qinghong Lin, Arda Senocak, Mike Zheng Shou, Philip Torr, Mohamed Elhoseiny, Yapeng Tian, Ruohan Gao, Salman Khan, Sayan Nag, Sanjoy Chowdhury, Dinesh Manocha, May 2026
[openreview] [pdf] [bib] -
Beyond ReinMax: Low-Variance Gradient Estimators for Discrete Latent Variables
Daniel Wang, Thang D Bui, May 2026
[openreview] [pdf] [bib] [code] -
Athena: Enhancing Multimodal Reasoning with Data-efficient Process Reward Models
Shuai Wang, Zhenhua Liu, Jiaheng Wei, Xuanwu Yin, Dong Li, Emad Barsoum, May 2026
[openreview] [pdf] [bib] -
Speeding up fairness reductions
Andrea Baraldi, Matteo Brucato, Miroslav Dudík, Francesco Guerra, Matteo Interlandi, May 2026
[openreview] [pdf] [bib] -
HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs
Tin Nguyen, Logan Bolton, Mohammad Reza Taesiri, Trung Bui, Anh Totti Nguyen, May 2026
[openreview] [pdf] [bib] [code] [video] -
Divide and Conquer: Selective Value Learning and Policy Optimization for Offline Safe Reinforcement Learning
Jiahui Zhu, Lei Ying, Honghao Wei, May 2026
[openreview] [pdf] [bib] [code] [video] -
Structured Representation Learning with Locally Linear Embeddings and Adaptive Feature Fusion
Somjit Nath, Jackson J Cone, Derek Nowrouzezahrai, Samira Ebrahimi Kahou, May 2026
[openreview] [pdf] [bib] [code] -
Diagnosing Failure Modes of Neural Operators Across Diverse PDE Families
Lennon Shikhman, May 2026
[openreview] [pdf] [bib] [code] -
Flow Matching for Probabilistic Monocular 3D Human Pose Estimation
Cuong Le, Pavlo Melnyk, Bastian Wandt, Mårten Wadenbäck, May 2026
[openreview] [pdf] [bib] [code] -
PRISM: Patch Diffusion with Dynamic Retrieval Augmented Guidance and Permutation Invariant Conditioning
Shivam Pal, Avideep Mukherjee, Vinay P. Namboodiri, Piyush Rai, May 2026
[openreview] [pdf] [bib] [code] -
Aligning time series anomaly detection research with practical applications
Daniel Barrish, Jan van Vuuren, May 2026
[openreview] [pdf] [bib] -
Multimodal Masked Point Distillation for 3D Representation Learning
Muhammad Abdullah Jamal, Omid Mohareri, May 2026
[openreview] [pdf] [bib] -
Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines
Ziyao Wang, Bingying Wang, Hanrong Zhang, Tingting Du, Tianyang Chen, Guoheng Sun, Yexiao He, Zheyu Shen, Wanghao Ye, Ang Li, May 2026
[openreview] [pdf] [bib]
Certifications: Survey Reproducibility Featured -
BG-HGNN: Toward Efficient Learning for Complex Heterogeneous Graphs
Junwei Su, Lingjun Mao, Da Zheng, Chuan Wu, May 2026
[openreview] [pdf] [bib] -
SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems
Asha Ramanujam, Adam El Youmi, Hao Chen, Sai Madhukiran Kompalli, Akshdeep Singh Ahluwalia, Shraman Pal, Dimitri J Papageorgiou, Can Li, May 2026
[openreview] [pdf] [bib] [code] -
Bridging Efficiency and Adaptability: Continual Learning of MLPs on Class-Incremental Graphs
Qiannan Zhang, Shichao Pei, May 2026
[openreview] [pdf] [bib] -
Robust Answers, Fragile Logic: Probing the Decoupling Hypothesis in LLM Reasoning
Enyi Jiang, Changming Xu, Nischay Singh, Gagandeep Singh, May 2026
[openreview] [pdf] [bib] [code] -
The Vertex-Attribute-Constrained Densest $k$-Subgraph Problem
Qiheng Lu, Nicholas D. Sidiropoulos, Aritra Konar, May 2026
[openreview] [pdf] [bib] [code] -
Improving Generalization and Data Efficiency with Diffusion in Offline Multi-agent RL
Zhuoran Li, Ling Pan, Jiatai Huang, Longbo Huang, May 2026
[openreview] [pdf] [bib] [code] -
Conformal Prediction for Hierarchical Data
Guillaume Principato, Gilles Stoltz, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi, May 2026
[openreview] [pdf] [bib] [code] -
Process Reinforcement through Implicit Rewards
Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Yuchen Zhang, Jiacheng Chen, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding, May 2026
[openreview] [pdf] [bib] [code] -
Constrained Reinforcement Learning Using Successor Representations
Michael Girstl, Alexander Mattick, Christopher Mutschler, May 2026
[openreview] [pdf] [bib] [code] -
Continually Adding New Languages to Multilingual Language Models
Abraham Toluwase Owodunni, Sachin Kumar, May 2026
[openreview] [pdf] [bib] -
Perturbed Gradient Descent via Convex Quadratic Approximation for Nonconvex Bilevel Optimization
Nazanin Abolfazli, Sina Sharifi, Mahyar Fazlyab, Erfan Yazdandoost Hamedani, May 2026
[openreview] [pdf] [bib] [code] -
Learnable Coreset Selection for Graph Active Learning
Xueqi Ma, Xingjun Ma, Sarah Erfani, James Bailey, May 2026
[openreview] [pdf] [bib] -
Inference-Time Alignment via Hypothesis Reweighting
Yoonho Lee, Jonathan Williams, Henrik Marklund, Archit Sharma, Eric Mitchell, Anikait Singh, Chelsea Finn, May 2026
[openreview] [pdf] [bib] -
VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion
Yanlong Wang, Hang Yu, Jian Xu, Fei Ma, Hongkang Zhang, Tongtong Feng, Zijian Zhang, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang, May 2026
[openreview] [pdf] [bib] -
Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization
Aliakbar Nafar, K. Brent Venable, Zijun Cui, Parisa Kordjamshidi, May 2026
[openreview] [pdf] [bib] [code] -
PSAG: Projection-based Stabilized Attribution Guidance for Online Continual Learning
Hang Yu, Kun Hu, Zhuqiang Lu, Steven Qiang Lu, Zhiyong Wang, Fengxiang He, May 2026
[openreview] [pdf] [bib] [code] -
Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment
Huanyi Xie, Lu Yu, Tianhao Huang, Longfei Li, Meng Li, JUN ZHOU, Lijie Hu, Di Wang, May 2026
[openreview] [pdf] [bib] -
[Re] FairDICE: A Fair Tradeoff in Multi-objective Offline RL
Peter Adema, Karim Galliamov, Aleksey Evstratovskiy, Ross Geurts, May 2026
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
Basile Terver, Tsung-Yen Yang, Jean Ponce, Adrien Bardes, Yann LeCun, May 2026
[openreview] [pdf] [bib]
Certifications: Reproducibility -
Probing the Impact of Scale on Data-Efficient, Generalist Transformer World Models for Atari
Jooyeon Kim, May 2026
[openreview] [pdf] [bib] -
A New Kind of Network? Review and Reference Implementation of Neural Cellular Automata
Martin Spitznagel, Janis Keuper, May 2026
[openreview] [pdf] [bib] [code] [video] -
Improved DDIM Sampling with Moment Matching Gaussian Mixtures
Prasad Gabbur, May 2026
[openreview] [pdf] [bib] [code] -
Cross-Modal Generative Augmentation for Multimodal Biological Classification
Hyunwoo Yoo, Efstathia Soufleri, Deepak Ravikumar, Gail Rosen, May 2026
[openreview] [pdf] [bib] -
Relative Translation Invariant Wasserstein Distance
Binshuai Wang, Qiwei Di, Ming Yin, Mengdi Wang, Quanquan Gu, Peng Wei, May 2026
[openreview] [pdf] [bib] [code] -
TextTeacher: What Can Language Teach About Images?
Tobias Christian Nauen, Stanislav Frolov, Brian Bernhard Moser, Federico Raue, Ahmed Anwar, Andreas Dengel, May 2026
[openreview] [pdf] [bib] [code] -
Challenges in Non-Polymeric Crystal Structure Prediction: Why a Geometric, Permutation-Invariant Loss is Needed
Emmanuel Jehanno, Romain Menegaux, Julien Mairal, Sergei Grudinin, May 2026
[openreview] [pdf] [bib] [code] -
A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective
Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiaoge Zhang, Kaiyu Tang, Xiao Li, Jing Li, May 2026
[openreview] [pdf] [bib] -
AgriPath: A Systematic Exploration of Architectural Trade- offs for Crop Disease Classification
Hamza Mooraj, Georgios Pantazopoulos, Alessandro Suglia, May 2026
[openreview] [pdf] [bib] [code] -
A Universal Source-Free Class Unlearning Framework via Synthetic Embeddings
Zahra Dehghani Tafti, Pablo Piantanida, Mohammadhadi Shateri, May 2026
[openreview] [pdf] [bib] [code] -
KeySync: A Robust Approach for Leakage-free Lip Synchronization in High Resolution
Antoni Bigata Casademunt, Rodrigo Mira, Stella Bounareli, Michał Stypułkowski, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic, May 2026
[openreview] [pdf] [bib] [code] [video] -
On Federated Compositional Optimization: Algorithms, Analysis, and Guarantees
Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Aditi Sarker, Yao Qiang, Joerg Kliewer, Dongxiao Zhu, May 2026
[openreview] [pdf] [bib] -
InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generation
Faezeh Faez, Marzieh S. Tahaei, Yaochen Hu, Ali Pourranjbar, Mahdi Biparva, Mark Coates, Yingxue Zhang, May 2026
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Variational Graph Structure Learning for GNNs by using Marginal Likelihood
Anita Yang, Thomas Möllenhoff, Ken-Ichi Kawarabayashi, Mohammad Emtiyaz Khan, May 2026
[openreview] [pdf] [bib] [code] -
Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution
Shravan S Chaudhari, Yoav Wald, Suchi Saria, May 2026
[openreview] [pdf] [bib] [code] -
BoSS: A Best-of-Strategies Selector as an Oracle for Deep Active Learning
Denis Huseljic, Paul Hahn, Marek Herde, Christoph Sandrock, Bernhard Sick, May 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer J2C -
VECO: VEctor COnformity Based OOD Detection in Text and Multimodal Models
Mouïn Ben Ammar, Arturo Mendoza, Antoine Manzanera, Gianni Franchi, May 2026
[openreview] [pdf] [bib] -
Achieving PAC Guarantees in Mechanism Design through Multi-Armed Bandits
Takayuki Osogami, Hirota Kinoshita, Segev Wasserkrug, May 2026
[openreview] [pdf] [bib] -
Super-fast Rates of Convergence for Neural Network Classifiers under the Hard Margin Condition
Nathanael Tepakbong, Xiang ZHOU, Ding-Xuan Zhou, May 2026
[openreview] [pdf] [bib] -
Modeling Stochastic Conditional Dynamics from Sparse Observations via Kernel-Stabilized Flow Matching
Adam P. Generale, Andreas Euan Robertson, Surya Kalidindi, May 2026
[openreview] [pdf] [bib] [code] -
ZipAct: Zipping Interaction History into a Compact State for Efficient LLM Agents
Zhiming Pan, Junyu Luo, Zhiping Xiao, Kaize Ding, Xiao Luo, Ming Zhang, May 2026
[openreview] [pdf] [bib] [code] -
Memory-Efficient Differentially Private Training with Gradient Random Projection
Alex Mulrooney, Devansh Gupta, James Flemings, Huanyu Zhang, Murali Annavaram, Meisam Razaviyayn, Xinwei Zhang, May 2026
[openreview] [pdf] [bib] [code] -
A Resilience Framework for Bi-Criteria Combinatorial Optimization with Bandit Feedback
Vaneet Aggarwal, Shweta Jain, Subham Pokhriyal, Christopher John Quinn, May 2026
[openreview] [pdf] [bib] -
On the Unreasonable Effectiveness of Last-layer Retraining
John Collins Hill, Tyler LaBonte, Xinchen Zhang, Vidya Muthukumar, May 2026
[openreview] [pdf] [bib] -
Token-Based Detection of Spurious Correlations in Vision Transformers
Solha Kang, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem, Joris Vankerschaver, Francois Rameau, Utku Ozbulak, May 2026
[openreview] [pdf] [bib] -
Understanding the Effects of Neuron Dominance in Deep Reinforcement Learning
Zifan Wu, Qian Lin, Blake Lawlor, Haijun Zhao, Daniel S. Brown, May 2026
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C -
Post-Training Neural Network Pruning using Graph Curvature
Shuhang Tan, Jayson Sia, Paul Bogdan, Radoslav Ivanov, May 2026
[openreview] [pdf] [bib] [code] -
From Models to Systems: A Comprehensive Survey of Efficient Multimodal Learning
Pan Wang, Siwei Song, Hui Ji, Siqi Cao, Heng Yu, Zhijian Liu, Huanrui Yang, Yingyan Celine Lin, Beidi Chen, Mohit Bansal, Xiaoming Liu, Pengfei Zhou, Ming-Hsuan Yang, Tianlong Chen, Jingtong Hu, May 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
RPATH: Explaining Time Series Mixture of Experts Routing via Ensemble Consensus and Structural Robustness
Temesgen Mikael Abraha, Yves Lucet, May 2026
[openreview] [pdf] [bib] [code] -
Improving OOD Robustness via Background-Aware Test- Time-AugmentationinBlack-BoxandResourceConstrained Settings
Ping Song, Adegboyega Ojo, Edward Curry, May 2026
[openreview] [pdf] [bib] [code] -
DINOv3
Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seung Eun Yi, Michael Ramamonjisoa, Francisco Massa, Daniel HAZIZA, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Herve Jegou, Patrick Labatut, Piotr Bojanowski, May 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: Featured -
Post-Training Adaptive Conformal Prediction for Incomplete Time Series
Baiting Chen, Xiaofan Zhou, Lu Cheng, May 2026
[openreview] [pdf] [bib] -
Offline changepoint localization using a matrix of conformal p-values
Sanjit Dandapanthula, Aaditya Ramdas, May 2026
[openreview] [pdf] [bib] [code] -
SynQuE: Estimating Synthetic Dataset Quality Without Annotations
Arthur Chen, Victor Zhong, May 2026
[openreview] [pdf] [bib] [code] -
PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems
Divyam Goel, Nithin Chalapathi, Sanjeev Raja, Aditi S. Krishnapriyan, May 2026
[openreview] [pdf] [bib] -
Adaptive multi-frame sampling for consistent zero-shot text-to-video editing
Thérèse Tisseau des Escotais, Clément Rambour, Bertrand Leroy, Arnaud Breloy, May 2026
[openreview] [pdf] [bib] [code] -
Synergizing Deconfounding and Temporal Generalization For Time-series Counterfactual Outcome Estimation
Yiling Liu, Juncheng Dong, Chen Fu, Wei Shi, Ziyang Jiang, Qi Xu, Zhigang Hua, David Carlson, May 2026
[openreview] [pdf] [bib] [code] -
Adaptive Conformal Prediction for Quantum Machine Learning
Douglas Spencer, Samual Nicholls, Michele Caprio, May 2026
[openreview] [pdf] [bib] [code] -
SA-PEF: Step-Ahead Partial Error Feedback for Efficient Federated Learning
Dawit Kiros Redie, Reza Arablouei, Stefan Werner, May 2026
[openreview] [pdf] [bib] [code] -
TOAST: Transformer Optimization using Adaptive and Simple Transformations
Irene Cannistraci, Simone Antonelli, Emanuele Palumbo, Thomas M. Sutter, Emanuele Rodolà, Bastian Rieck, Julia E Vogt, May 2026
[openreview] [pdf] [bib] [code] -
Glocal Smoothness: Line search and adaptive sizes can help in theory too!
Curtis Fox, Aaron Mishkin, Sharan Vaswani, Mark Schmidt, May 2026
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Accelerating Inference of Discrete Autoregressive Normalizing Flows by Selective Jacobi Decoding
Jiaru Zhang, Juanwu Lu, Xiaoyu Wu, Ziran Wang, Ruqi Zhang, May 2026
[openreview] [pdf] [bib] [code]
Certifications: Featured -
Exploration-Driven Optimization for Test-Time Large Language Model Reasoning
ChangHao Li, Yuchen Zhuang, Chenxiao Gao, Haotian Sun, Rushi Qiang, Chao Zhang, Bo Dai, May 2026
[openreview] [pdf] [bib] -
A Faster Generalized Two-Stage Approximate Top-K
Yashas Samaga B L, Varun Yerram, Spandana Raj Babbula, Prateek Jain, Praneeth Netrapalli, May 2026
[openreview] [pdf] [bib] -
Graph Generation via Temporal-Aware Biased Walks
Resul Tugay, Eren Olug, Elif Ak, Kiymet Kaya, Şule Gündüz Öğüdücü, May 2026
[openreview] [pdf] [bib] [code] [video] -
Re-evaluating Minimum Bayes Risk Decoding for Automated Speech Recognition Tasks
Yuu Jinnai, May 2026
[openreview] [pdf] [bib] [code] -
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens
Karthik Valmeekam, Vardhan Palod, Kaya Stechly, Atharva Gundawar, Subbarao Kambhampati, May 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Differentiable Cluster Discovery in Temporal Graphs
Md Hafizur Rahman, Chi-Guhn Lee, May 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Convex Optimization with Local Label Differential Privacy: Tight Bounds in All Privacy Regimes
Lynn Chua, Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Ziteng Sun, Chiyuan Zhang, May 2026
[openreview] [pdf] [bib] -
On Fitting Flow Models with Large Sinkhorn Couplings
Stephen Y. Zhang, Alireza Mousavi-Hosseini, Michal Klein, marco cuturi, May 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNs
Jiaqi Lin, Malyaban Bal, Abhronil Sengupta, May 2026
[openreview] [pdf] [bib] [code] -
Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation
Hongsin Lee, Hye Won Chung, May 2026
[openreview] [pdf] [bib] [code] -
Analyzing Best-Response Dynamics for Cooperation in Markov Potential Games
Dingyang Chen, Xiaoling Zeng, Thinh T. Doan, Qi Zhang, May 2026
[openreview] [pdf] [bib] -
SpecEval: Evaluating Model Adherence to Behavior Specifications
Ahmed M Ahmed, Kevin Klyman, Yi Zeng, Sanmi Koyejo, Percy Liang, May 2026
[openreview] [pdf] [bib] [code] -
Debiasing Diffusion Models via Score Guidance
Piyush Tiwary, Prabhav Verma, Prathosh AP, May 2026
[openreview] [pdf] [bib] [code] -
Reranker Optimization via Geodesic Distances on k-NN Manifolds
WEN G GONG, May 2026
[openreview] [pdf] [bib] [code] -
Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs
Washim Uddin Mondal, Vaneet Aggarwal, May 2026
[openreview] [pdf] [bib] -
Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference
David Yallup, Namu Kroupa, Will Handley, May 2026
[openreview] [pdf] [bib] [code] -
Identifiable Latent Bandits: Leveraging observational data for personalized decision-making
Ahmet Zahid Balcıoğlu, Newton Mwai, Emil Carlsson, Fredrik D. Johansson, May 2026
[openreview] [pdf] [bib] [code] -
Not All CAMs Are Complete: Completeness as the Key to Faithfulness
Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner, May 2026
[openreview] [pdf] [bib] [code] -
Regret minimization in Linear Bandits with offline data via extended D-optimal exploration.
Sushant Vijayan, Arun Suggala, Karthikeyan Shanmugam, Soumyabrata Pal, May 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Domain Indexing Collaborative Filtering for Recommender Systems
Rohit Amarnath, Zihao Xu, Qi Xu, Zhigang Hua, Yan Xie, Shuang Yang, Bo Long, Hao Wang, May 2026
[openreview] [pdf] [bib] -
A Systematic Assessment of Weak-to-Strong Confidence Prediction in Large Language Models
Tracy Yixin Zhu, Yukai Yang, Marco Morucci, Tim G. J. Rudner, May 2026
[openreview] [pdf] [bib] [code] -
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
Nikhil Abhyankar, Parshin Shojaee, Chandan K. Reddy, May 2026
[openreview] [pdf] [bib] -
InfoScale: Unleashing Training-free Variable-scaled Image Generation via Effective Utilization of Information
Guohui Zhang, Jiangtong Tan, Linjiang Huang, Zhonghang Yuan, Mingde Yao, Jie Huang, Feng Zhao, May 2026
[openreview] [pdf] [bib] -
Measuring Fine-Grained Relatedness in Multitask Learning via Data Attribution
Yiwen Tu, Ziqi Liu, Jiaqi W. Ma, Weijing Tang, May 2026
[openreview] [pdf] [bib] [code] -
A Quotient Homology Theory of Representation in Neural Networks
Kosio Beshkov, May 2026
[openreview] [pdf] [bib] [code] -
Sparse Mean Estimation in Adversarial Settings via Incremental Learning
Jianhao Ma, Rui Ray Chen, Yinghui He, Salar Fattahi, Wei Hu, May 2026
[openreview] [pdf] [bib] [code] -
Iterative Compositional Data Generation for Robot Control
Anh-Quan Pham, Marcel Hussing, Shubhankar P. Patankar, Danielle Bassett, Jorge Mendez-Mendez, Eric Eaton, May 2026
[openreview] [pdf] [bib] [code] -
UniRec: Unified Multimodal Encoding for LLM-Based Recommendations
Zijie Lei, Tao Feng, Zhigang Hua, Yan Xie, Guanyu Lin, Shuang Yang, Ge Liu, Jiaxuan You, May 2026
[openreview] [pdf] [bib] [code] -
Topology- and Gradient-Guided Knowledge Distillation for Point Cloud Semantic Segmentation
Luu Tung Hai, Thinh D. Le, Zhicheng Ding, Qing Tian, Truong-Son Hy, May 2026
[openreview] [pdf] [bib] [code] -
EgoPlan: Towards Effective Embodied Agents via Egocentric Planning
Zhirui Fang, Ming Yang, Weishuai Zeng, Junpeng Yue, Boyu Li, Jiafei Lyu, Xiu Li, Zongqing Lu, May 2026
[openreview] [pdf] [bib] -
OracleTSC: Oracle-Informed Reward Hurdle and Uncertainty Regularization for Traffic Signal Control
Darryl C. Jacob, Xinyu Liu, Muchao Ye, Xiaoyong Yuan, Pan He, May 2026
[openreview] [pdf] [bib] -
Think2SQL: Blueprinting Reward Density and Advantage Scaling for Effective Text-to-SQL Reasoning
Simone Papicchio, Simone Rossi, Luca Cagliero, Paolo Papotti, May 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Sequential Causal Discovery with Noisy Language Model Priors
Prakhar Verma, David Arbour, Sunav Choudhary, Harshita Chopra, Arno Solin, Atanu R. Sinha, May 2026
[openreview] [pdf] [bib] -
Active Teacher Selection for Reward Learning
Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell, May 2026
[openreview] [pdf] [bib] [code] -
A Closer Look at In-Distribution vs. Out-of-Distribution Accuracy for Open-Set Test-time Adaptation
Zefeng Li, Evan Shelhamer, May 2026
[openreview] [pdf] [bib] -
What One View Reveals, Another Conceals: 3D-Consistent Visual Reasoning with LLMs
Dan Kushnir, László Freund, May 2026
[openreview] [pdf] [bib] -
Re:Form --- Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny
Chuanhao Yan, Fengdi Che, Xuhan Huang, Xu Xu, Xin Li, Yizhi LI, Xingwei Qu, Jingzhe Shi, Chenghua Lin, Yaodong Yang, Binhang Yuan, Hang Zhao, Yu Qiao, Bowen Zhou, Jie Fu, May 2026
[openreview] [pdf] [bib] [code] -
Compromising Honesty and Harmlessness in Language Models via Covert Deception Attacks
Laurène Vaugrante, Francesca Carlon, Maluna Menke, Thilo Hagendorff, May 2026
[openreview] [pdf] [bib] -
Variance Matters: Improving Domain Adaptation via Stratified Sampling
Andrea Napoli, Paul White, May 2026
[openreview] [pdf] [bib] -
Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles
Cas Oude Hoekstra, Floris den Hengst, May 2026
[openreview] [pdf] [bib] [code] -
Scaling Large Language Models with Fully Sparse Activations
Hongyu Wang, Shuming Ma, Ruiping Wang, Furu Wei, May 2026
[openreview] [pdf] [bib] [code] -
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Haoxuan Chen, Yinuo Ren, Martin Renqiang Min, Lexing Ying, Zachary Izzo, May 2026
[openreview] [pdf] [bib] [code] -
The Pitfalls of Text Degeneration when Aligning LLMs through Model Merge
Peijun Qing, Lei Hsiung, Hefan Zhang, Haiquan Lu, Xingjian Diao, Chiyu Ma, Saeed Hassanpour, Soroush Vosoughi, May 2026
[openreview] [pdf] [bib] -
ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes
Amartya Mukherjee, Ruizhi Deng, He Zhao, Yuzhen Mao, Leonid Sigal, Frederick Tung, May 2026
[openreview] [pdf] [bib] [code] -
Hessian-aware Training for Enhancing DNN Resilience to Bitwise Corruptions in Their Parameters
Tahmid Hasan Pranto, Seijoon Kim, Lizhong Chen, Sanghyun Hong, May 2026
[openreview] [pdf] [bib] -
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting
Liran Nochumsohn, Raz Marshanski, Hedi Zisling, Omri Azencot, May 2026
[openreview] [pdf] [bib] [code] -
Modality-Inconsistent Continual Learning of Multimodal Large Language Models
Weiguo Pian, Shijian Deng, Shentong Mo, Mingrui Liu, Yunhui Guo, Yapeng Tian, May 2026
[openreview] [pdf] [bib] [code] -
SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Improved Vision-Language Model Adaptation
Shuvendu Roy, Ali Etemad, May 2026
[openreview] [pdf] [bib] -
Learning Robust Penetration Testing Policies under Partial Observability: A systematic evaluation
Raphael Simon, Pieter Jules Karel Libin, Wim Mees, May 2026
[openreview] [pdf] [bib] [code] -
GENIE: A Visual-Only Diffusion Framework for Task- Agnostic Image Transformation
Uddeshya Singh, Aniket Thomas, Aishwarya Agarwal, Srikrishna Karanam, Biplab Banerjee, May 2026
[openreview] [pdf] [bib] [code] -
Discontinuity-Preserving Image Super-Resolution using MRF-Regularized One-Step Diffusion
Sanchar Palit, Subhasis Chaudhuri, Biplab Banerjee, May 2026
[openreview] [pdf] [bib] [code] -
Revisiting "Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing"
Luis Vitor Zerkowski, Soham Chaudhuri, Finley Helms, Jelle Sombekke, Udit Thakur, May 2026
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
A Second Order Majorant Algorithm for Nonnegative Matrix Factorization
Mai Quyen PHAM, Jeremy Cohen, Thierry CHONAVEL, May 2026
[openreview] [pdf] [bib] [code] -
Autofocus Retrieval: An Effective Pipeline for Multi-Hop Question Answering With Semi-Structured Knowledge
Derian Boer, Stephen Linus Roth, Stefan Kramer, May 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Neural Fourier Transform for Multiple Time Series Prediction
Noam Koren, Kira Radinsky, Daniel Freedman, May 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes
Kevin Jatin Vora, Yu Zhang, May 2026
[openreview] [pdf] [bib] [code] [video] -
Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay
Leyan Pan, Xinyuan Cao, May 2026
[openreview] [pdf] [bib] -
Symbolic Recovery of PDEs from Measurement Data
Erion Morina, Philipp Scholl, Martin Holler, May 2026
[openreview] [pdf] [bib] [code] -
Paradoxical noise preference in RNNs
Noah Izaac Eckstein, Manoj Srinivasan, May 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Seeing is Simulating: Differentiable Physics for Interaction-Aware Material Estimation
Chun Feng, Hao Zhang, Haolan Xu, Narendra Ahuja, May 2026
[openreview] [pdf] [bib] -
Learning Where It Matters: Responsible and Interpretable Text-to-Image Generation with Background Consistency
Sayedmoslem Shokrolahi, Jae-Mo Kang, Il-Min Kim, May 2026
[openreview] [pdf] [bib] [code] -
Harnessing Heterogeneity: Improving Convergence Through Partial Variance Control in Federated Learning
Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal, May 2026
[openreview] [pdf] [bib] [code] [video] -
Models with a Cause: Causal Discovery with Language Models on Temporally Ordered Text Data
Bruce Rushing, Javier Gomez-Lavin, May 2026
[openreview] [pdf] [bib] [code] -
Source-Optimal Training is Transfer-Suboptimal
C. Evans Hedges, May 2026
[openreview] [pdf] [bib] -
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
Tassilo Wald, Saikat Roy, Fabian Isensee, Constantin Ulrich, Sebastian Ziegler, Dasha Trofimova, Raphael Stock, Michael Baumgartner, Gregor Koehler, Klaus Maier-Hein, May 2026
[openreview] [pdf] [bib] [code] -
SensX: Model-Agnostic Local Feature Attribution via Calibrated Global Sensitivity Analysis
Manu Aggarwal, Nicholas Cogan, Vipul Periwal, May 2026
[openreview] [pdf] [bib] [code] -
Augmented Mixup Procedure for Privacy-Preserving Collaborative Training
Mihail-Iulian Pleșa, Fabrice Clérot, Simona Elena David, Robert Poenaru, May 2026
[openreview] [pdf] [bib] [code] [video] -
Make Your LVLM KV Cache More Lightweight
Xihao Chen, Yangyang Guo, Roger Zimmermann, May 2026
[openreview] [pdf] [bib] [code] -
Semantic-Drive: Trustworthy and Efficient Long-Tail Data Curation via Open-Vocabulary Grounding and Neuro-Symbolic VLM Consensus
Antonio Guillen-Perez, May 2026
[openreview] [pdf] [bib] [code] -
MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources
Huu Nguyen, Victor May, Harsh Raj, Marianna Nezhurina, Yishan Wang, Yanqi Luo, Vu Minh Chien, Taishi Nakamura, Ken Tsui, Van Khue Nguyen, David Salinas, Aleksandra Krasnodębska, Christoph Schuhmann, Mats Leon Richter, Xuan-Son Vu, Jenia Jitsev, May 2026
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C -
FL-Sailer: Efficient and Privacy-Preserving Federated Learning for Scalable Single-Cell Epigenetic Data Analysis via Adaptive Sampling
Guangyi Zhang, Yi Dai, Yiyun He, Junhao Liu, May 2026
[openreview] [pdf] [bib] [code] -
CauFR-TS: Causal Time-Series Identifiability via Factorized Representations
Ayanabha Ghosh, Debasis Das, Asif Ekbal, May 2026
[openreview] [pdf] [bib] [code] -
Overcoming Output Dimension Collapse: When Sparsity Enables Zero-shot Brain-to-image Reconstruction at Small Data Scales
Kenya Otsuka, Yoshihiro Nagano, Yukiyasu Kamitani, May 2026
[openreview] [pdf] [bib] [code] -
From Mice to Trains: Amortized Bayesian Inference on Graph Data
Svenja Jedhoff, Elizaveta Semenova, Aura Raulo, Anne Meyer, Paul-Christian Bürkner, May 2026
[openreview] [pdf] [bib] -
HyperAdapt: Simple High-Rank Adaptation
Abel Gurung, Joseph Campbell, May 2026
[openreview] [pdf] [bib] -
ActionEQA: Action Interface for Embodied Question Answering
Tianwei Bao, Qineng Wang, Kangrui Wang, Mingkai Deng, Guangyi Liu, Jiayuan Mao, Lawrence Birnbaum, Zhiting Hu, Eric P. Xing, Zhaoran Wang, Manling Li, May 2026
[openreview] [pdf] [bib] -
OT Score: An OT based Confidence Score for Prototype-Assisted Source Free Unsupervised Domain Adaptation
Yiming Zhang, Sitong Liu, Alex Cloninger, April 2026
[openreview] [pdf] [bib] [code] -
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning
Matthew Lowery, John Turnage, Zachary Morrow, John Davis Jakeman, Akil Narayan, Shandian Zhe, Varun Shankar, April 2026
[openreview] [pdf] [bib] [code] -
AIMing for Standardised Explainability Evaluation in GNNs: A Framework and Case Study on Graph Kernel Networks
Magdalena Proszewska, Siddharth N, April 2026
[openreview] [pdf] [bib] [code] -
Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance
Saeed Mohseni-Sehdeh, Walid Saad, Kei Sakaguchi, Tao Yu, April 2026
[openreview] [pdf] [bib] -
Pull-to-Outlier & Contrastive Objective-level (POCO) Unlearning: A Framework for Sample and Objective Forgetting
Agil Aghasanli, Plamen P Angelov, April 2026
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
Hierarchical Filtering and Refinement Classification for Few-Shot Class-Incremental Learning
Li-Jun Zhao, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu, April 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks
Yaxin Luo, Zhiqiang Shen, April 2026
[openreview] [pdf] [bib] -
Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers
Vsevolod Skorokhodov, Nikita Durasov, Pascal Fua, April 2026
[openreview] [pdf] [bib] -
ExpertLens: Activation steering features are highly interpretable
Masha Fedzechkina, Eleonora Gualdoni, Sinead Williamson, Katherine Metcalf, Skyler Seto, Barry-John Theobald, April 2026
[openreview] [pdf] [bib] -
Constraint-Aware Flow Matching via Randomized Exploration
Zhengyan Huan, Jacob Boerma, Liping Liu, Shuchin Aeron, April 2026
[openreview] [pdf] [bib] [code] -
Mixtures of Locally Bounded Langevin dynamics for Bayesian Model Averaging
Kilian Zepf, Tareen Dawood, Aasa Feragen, Ender Konukoglu, April 2026
[openreview] [pdf] [bib] [code] -
Investigating Linguistic Steering: An Analysis of Adjectival Effects Across Large Language Model Architectures
Lars Malmqvist, April 2026
[openreview] [pdf] [bib] -
Adaptive Model Selection in Offline Contextual MDP's without Stationarity
Riddhiman Bhattacharya, Sayak Chakrabarty, Imon Banerjee, April 2026
[openreview] [pdf] [bib] -
SAMAT: A Stereotype-Aware Multimodal Transformer for Interpretable Misogynistic Meme Detection
gopendra Vikram singh, Arpan Phukan, Kushal Kanwar, Asif Ekbal, April 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation
Aneesh Rangnekar, Harini Veeraraghavan, April 2026
[openreview] [pdf] [bib] [code] -
Learning-Augmented Robust Algorithmic Recourse
Kshitij Kayastha, Vasilis Gkatzelis, Shahin Jabbari, April 2026
[openreview] [pdf] [bib] [code] [video] -
On Symmetric Losses for Policy Optimization with Noisy Preferences
Soichiro Nishimori, Yu-Jie Zhang, Thanawat Lodkaew, Masashi Sugiyama, April 2026
[openreview] [pdf] [bib] [code] -
Multivariate Conformal Prediction using Optimal Transport
Michal Klein, Louis Béthune, Eugene Ndiaye, marco cuturi, April 2026
[openreview] [pdf] [bib] [code] -
Quantile $Q$-Learning: Revisiting Offline Extreme $Q$-Learning with Quantile Regression
Xinming Gao, Shangzhe Li, Yujin Cai, Wenwu Yu, April 2026
[openreview] [pdf] [bib] -
Riemannian Generative Decoder
Andreas Bjerregaard, Søren Hauberg, Anders Krogh, April 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
Optimal Regret and Hard Violation for Constrained Markov Decision Processes with Adversarial Losses and Constraints
Srinjoy Roy, Swagatam Das, April 2026
[openreview] [pdf] [bib] [code] -
Model Debiasing by Learnable Data Augmentation
Pietro Morerio, Ruggero Ragonesi, Vittorio Murino, April 2026
[openreview] [pdf] [bib] -
Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision
Jiali Cui, Zhiqiang Lao, Heather Yu, April 2026
[openreview] [pdf] [bib] [code] -
The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
Mohammad Tariqul Islam, Jason W. Fleischer, April 2026
[openreview] [pdf] [bib] [code] -
RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging
The-Hai Nguyen, Dang Huu-Tien, Takeshi Suzuki, Le-Minh Nguyen, April 2026
[openreview] [pdf] [bib] [code] -
ADAPT: Adaptive Prompt Tuning for Vision-Language Models
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao, April 2026
[openreview] [pdf] [bib] [code] -
ViTaPEs: Visuotactile Position Encodings for Cross-Modal Alignment in Multimodal Transformers
Fotios Lygerakis, Ozan Özdenizci, Elmar Rueckert, April 2026
[openreview] [pdf] [bib] [code] -
You Only Train Once: Differentiable Subset Selection for Omics Data
Daphné Chopard, Jorge da Silva Gonçalves, Irene Cannistraci, Thomas M. Sutter, Julia E Vogt, April 2026
[openreview] [pdf] [bib] [code] -
Joint Embedding Variational Bayes
Amin Oji, Paul W. Fieguth, April 2026
[openreview] [pdf] [bib] [code] -
VidHal: Benchmarking Hallucinations in Vision LLMs
Wey Yeh Choong, Yangyang Guo, Mohan Kankanhalli, April 2026
[openreview] [pdf] [bib] [code] -
Transitioning Heads Conundrum: The Hidden Bottleneck in Long-Tailed Class-Incremental Learning
Rahul Vigneswaran, Hari Chandana Kuchibhotla, Vineeth N. Balasubramanian, April 2026
[openreview] [pdf] [bib] -
CLIP-SVD: Efficient and Interpretable Vision–Language Adaptation via Singular Values
Taha Koleilat, Hassan Rivaz, Yiming Xiao, April 2026
[openreview] [pdf] [bib] [code] -
Properties and limitations of geometric tempering for gradient flow dynamics
Francesca Romana Crucinio, Sahani Pathiraja, April 2026
[openreview] [pdf] [bib] [code] -
Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs
Amirreza Shiralinasab Langari, Leila Yeganeh, Kim Khoa Nguyen, April 2026
[openreview] [pdf] [bib] [code] -
Test-Time Adaptation for Unsupervised Combinatorial Optimization
Yiqiao Liao, Farinaz Koushanfar, Parinaz Naghizadeh, April 2026
[openreview] [pdf] [bib] [code] -
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
Vinith Menon Suriyakumar, Rohan Alur, Ayush Sekhari, Manish Raghavan, Ashia C. Wilson, April 2026
[openreview] [pdf] [bib] -
Wasserstein Bounds for generative diffusion models with Gaussian tail targets
Wang Xixian, Zhongjian Wang, April 2026
[openreview] [pdf] [bib] -
$\texttt{LucidAtlas}$: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations
Yining Jiao, Sreekalyani Bhamidi, Carlton Jude ZDANSKI, Huaizhi Qu, Julia S Kimbell, Andrew Prince, Cameron P Worden, Samuel Kirse, Christopher Rutter, Benjamin H Shields, Jisan Mahmud, Tianlong Chen, Marc Niethammer, April 2026
[openreview] [pdf] [bib] [code] -
Interference-Aware K-Step Reachable Communication in Multi-Agent Reinforcement Learning
Ziyu Cheng, Jinsheng Ren, Jun Yang, Zhouxian Jiang, Chenzhihang Li, Rongye Shi, Bin Liang, April 2026
[openreview] [pdf] [bib] -
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
Yixuan Even Xu, Yash Savani, Fei Fang, J Zico Kolter, April 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Contrastive VQ Priors for Multi-Class Plaque Segmentation via SAM Adaptation
Ruan Yizhe, Yusuke Kurose, JUNICHI IHO, Yoji Tokunaga, Makoto Horie, YUSAKU HAYASHI, Keisuke Nishizawa, Yasushi Koyama, Tatsuya Harada, April 2026
[openreview] [pdf] [bib] -
FedLog: Personalized Federated Classification with Less Communication and More Flexibility
Haolin Yu, Guojun Zhang, Hongliang Li, Pascal Poupart, April 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
SokoBench: Evaluating Long-Horizon Planning and Reasoning in Large Language Models
Sebastiano Monti, Carlo Nicolini, Giovanni Pellegrini, Jacopo Staiano, Bruno Lepri, April 2026
[openreview] [pdf] [bib] -
Continuous Treatment Effect Estimation with Cauchy-Schwarz Divergence Information Bottleneck
Louk van Remmerden, Shiqin Tang, Shujian Yu, April 2026
[openreview] [pdf] [bib] [code] -
Influence Estimation in Statistical Models Using the Fisher Information Matrix
Omri Lev, Ashia C. Wilson, April 2026
[openreview] [pdf] [bib] -
On the Conditioning Consistency Gap in Conditional Neural Processes
Robin Young, April 2026
[openreview] [pdf] [bib] -
MixTraining: A Better Trade-Off Between Compute and Performance
Zexin Li, Jiancheng Zhang, Yufei Li, Yinglun Zhu, Cong Liu, April 2026
[openreview] [pdf] [bib] -
Preference-Based Gradient Estimation for ML-Guided Approximate Combinatorial Optimization
Arman Mielke, Uwe Bauknecht, Thilo Strauss, Mathias Niepert, April 2026
[openreview] [pdf] [bib] [code] -
α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction
Sanbao Su, Nuo Chen, Chenchen Lin, Felix Juefei-Xu, Chen Feng, Fei Miao, April 2026
[openreview] [pdf] [bib] -
Task-Specific Exploration in Meta-Reinforcement Learning via Task Reconstruction
Radu Stoican, Angelo Cangelosi, Christian Goerick, Thomas H Weisswange, April 2026
[openreview] [pdf] [bib] [code] -
Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power
Yuzhu Chen, Tian Qin, Xinmei Tian, Fengxiang He, Dacheng Tao, April 2026
[openreview] [pdf] [bib] -
ABCDE: Agentic-Based Controlled Dynamic Erasure for Intent-Aware Safety Reasoning
Ping Liu, CHI ZHANG, April 2026
[openreview] [pdf] [bib] -
DOME: Distributed Online Learning based Multi-Estimate Fusion for Cooperative Predictive Target Tracking Using a Robotic Swarm
Shubhankar Gupta, Saksham Sharma, Suresh Sundaram, April 2026
[openreview] [pdf] [bib] [code] [video] -
CI-CBM: Class-Incremental Concept Bottleneck Model for Interpretable Continual Learning
Amirhosein Javadi, Tuomas Oikarinen, Tara Javidi, Tsui-Wei Weng, April 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Anytime Verified Agents: Adaptive Compute Allocation for Reliable LLM Reasoning under Budget Constraints
Dipkumar Patel, April 2026
[openreview] [pdf] [bib] [code] -
Differentially Private and Scalable Estimation of the Network Principal Component
Alireza Khayatian, Anil Vullikanti, Aritra Konar, April 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Boosting Text Encoder for Personalized Text-to-Image Generation
NaHyeon Park, Kunhee Kim, Hyunjung Shim, April 2026
[openreview] [pdf] [bib] -
Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion
Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji, April 2026
[openreview] [pdf] [bib]
Certifications: Featured -
Explainable Error Detection in Integrated Circuits Image Segmentation via Graph Neural Networks
MA XIAOYU, Jingyang Dai, Feng Ji, Deruo Cheng, Yiqiong Shi, Bah-Hwee Gwee, April 2026
[openreview] [pdf] [bib] -
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds
Matteo Vilucchio, Nikolaos Tsilivis, Bruno Loureiro, Julia Kempe, April 2026
[openreview] [pdf] [bib] [code] [video] -
Retrieval as a Decision: Training-Free Adaptive Gating for Efficient RAG
Yufeng Wang, Lu Wei, Haibin Ling, April 2026
[openreview] [pdf] [bib] -
CatScreen: A Large MultiModal Benchmark Dataset for Cataract Screening
Mahapara Khurshid, Sonam Kumar, Dr Anusuya Bhattacharyya, Dhruve Kiyawat, Anshul Chauhan, Suklengmung Buragohain, Harsha Bhattacharjee, Limalemla Jamir, Vishali Gupta, Mona Duggal, Mayank Vatsa, Richa Singh, April 2026
[openreview] [pdf] [bib] -
LinMU: Multimodal Understanding Made Linear
Hongjie Wang, Niraj Jha, April 2026
[openreview] [pdf] [bib] -
ClimateAgent: Multi-Agent Orchestration for Complex Climate Data Science Workflows
Chenyue Li, Hyeonjae Kim, Wen Deng, Mengxi Jin, HUANG Wen, Mengqian Lu, Binhang Yuan, April 2026
[openreview] [pdf] [bib] -
Dimension-free error estimate for diffusion model and optimal scheduling
Valentin De Bortoli, Romuald Elie, Anna Kazeykina, Zhenjie Ren, Jiacheng Zhang, April 2026
[openreview] [pdf] [bib]
Certifications: J2C -
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking
Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Lizhong Chen, Huazheng Wang, April 2026
[openreview] [pdf] [bib] -
Incremental3D: Real-time Incremental 3D Scene Generation with Scene Graphs
Penggang GAO, Yonas Teodros Tefera, Darwin G. Caldwell, Nikhil Deshpande, April 2026
[openreview] [pdf] [bib] -
Conformal Calibration of Statistical Confidence Sets
Luben Miguel Cruz Cabezas, Guilherme Soares, Thiago Ramos, Rafael Bassi Stern, Rafael Izbicki, April 2026
[openreview] [pdf] [bib] [code] -
Revisit, Extend, and Enhance Hessian-Free Influence Functions
Ziao Yang, Han Yue, Jian Chen, Hongfu Liu, April 2026
[openreview] [pdf] [bib] -
Data Compressibility Quantifies LLM Memorization
Yizhan Huang, Zhe YANG, Meifang Chen, HUANG Nianchen, Jianping Zhang, Michael R. Lyu, April 2026
[openreview] [pdf] [bib] -
Multimodal Deception in Explainable AI: Concept-Level Backdoor Attacks on Concept Bottleneck Models
Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, TianlangXue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Zongyang Liu, Yutao Yue, April 2026
[openreview] [pdf] [bib] -
Topology-Guided Graph Pre-training and Prompt Learning on Directed Graphs
Peiyu Liang, Chenguang Yang, Yixuan He, Rong Pan, Yuzhou Chen, April 2026
[openreview] [pdf] [bib] -
LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication
Wei Liu, Anweshit Panda, Ujwal Pandey, Haven Cook, George Slota, Naigang Wang, Jie Chen, Yangyang Xu, April 2026
[openreview] [pdf] [bib] [code] -
Combinatorial Capacity of modReLU Complex Networks: VC-Dimension Bounds and Lower Limits
Mehmet Altunören, April 2026
[openreview] [pdf] [bib] -
A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks
Yuta Nakahara, Manabu Kobayashi, Toshiyasu Matsushima, April 2026
[openreview] [pdf] [bib] -
Curvature-Aware Safety Restoration In LLMs Fine-Tuning
Thong Bach, Thanh Nguyen-Tang, Dung Nguyen, Thao Minh Le, Truyen Tran, April 2026
[openreview] [pdf] [bib] -
Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
Tao Feng, Pengrui Han, Guanyu Lin, Ge Liu, Jiaxuan You, April 2026
[openreview] [pdf] [bib] [code] -
WAREX: Web Agent Reliability Evaluation on Existing Benchmarks
Su Kara, Fazle Elahi Faisal, Suman Nath, April 2026
[openreview] [pdf] [bib] -
Forgetting: A New Mechanism Towards Better Large Language Model Fine-tuning
Ali Taheri, Alireza Taban, Qizhou Wang, Shanshan Ye, Abdolreza Mirzaei, Tongliang Liu, Bo Han, April 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Improving LLM Unlearning Robustness via Random Perturbations
Dang Huu-Tien, Hoang Thanh-Tung, Anh Tuan Bui, Phuong Minh Nguyen, Le-Minh Nguyen, Naoya Inoue, April 2026
[openreview] [pdf] [bib] [code] -
CP-POL + PPI: Conformal Guarantees in Partially-Observed Label Space
Christian NGNIE, April 2026
[openreview] [pdf] [bib] [code] [video] -
BalancedDPO: Adaptive Multi-Metric Alignment
Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, Vaneet Aggarwal, April 2026
[openreview] [pdf] [bib] [code] -
DASB - Discrete Audio and Speech Benchmark
Pooneh Mousavi, Jarod Duret, Darius Petermann, Artem Ploujnikov, Luca Della Libera, Anastasia Kuznetsova, Cem Subakan, Mirco Ravanelli, April 2026
[openreview] [pdf] [bib] -
State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models
Annie Wong, Aske Plaat, Thomas Bäck, Niki van Stein, Anna V Kononova, April 2026
[openreview] [pdf] [bib] [code] -
A tale of two goals: leveraging short term goals performs best in multi-goal scenarios
Olivier Serris, Stephane Doncieux, Olivier Sigaud, April 2026
[openreview] [pdf] [bib] [code] -
Adapt via Bayesian Nonparametric Clustering: Fine-Grained Classification for Model Recycling Under Domain and Category Shift
Zeya Wang, Longwen Shang, Yang Ni, Chenglong Ye, April 2026
[openreview] [pdf] [bib] [code] -
deCIFer: Crystal Structure Prediction from Powder Diffraction Data using Autoregressive Language Models
Frederik Lizak Johansen, Ulrik Friis-Jensen, Erik B Dam, Kirsten M. Ø. Jensen, Rocío Mercado, Raghavendra Selvan, April 2026
[openreview] [pdf] [bib] [code] -
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
Ido Galil, Moshe Kimhi, Ran El-Yaniv, April 2026
[openreview] [pdf] [bib] [code]
Certifications: Featured -
AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting
Shijue Huang, Hongru WANG, Wanjun Zhong, Zhaochen Su, Jiazhan Feng, Bowen Cao, Yi R. Fung, April 2026
[openreview] [pdf] [bib] -
V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier Functions
Mumuksh Tayal, Manan Tayal, Aditya Singh, Shishir Kolathaya, Ravi Prakash, April 2026
[openreview] [pdf] [bib] [code] -
Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions
Lixu Wang, Sun Yinggang, Yang Zhao, Jiaqi Wu, Jiahua Dong, Ating Yin, Qinbin Li, Qingqing Ye, Dusit Niyato, Tianwei Zhang, Kwok-Yan Lam, Yu Haining, Haibo Hu, Wei Dong, April 2026
[openreview] [pdf] [bib] -
Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation
chao ying, Jun Jin, Haotian Zhang, Qinglong Tian, Yanyuan Ma, Sharon Li, Jiwei Zhao, April 2026
[openreview] [pdf] [bib] -
Variational Visual Question Answering for Uncertainty-Aware Selective Prediction
Tobias Jan Wieczorek, Nathalie Daun, Mohammad Emtiyaz Khan, Marcus Rohrbach, April 2026
[openreview] [pdf] [bib] [code] [video] -
Optimal Pattern Detection Tree for Symbolic Rule-Based Classification
Young-Chae Hong, Yangho Chen, April 2026
[openreview] [pdf] [bib] -
Improved Sample Complexity Bounds For Diffusion Model Training Without Empirical Risk Minimizer Access
Mudit Gaur, Prashant Trivedi, Sasidhar Kunapuli, Amrit Singh Bedi, Vaneet Aggarwal, April 2026
[openreview] [pdf] [bib] -
A Complete Decomposition of KL Error using Refined Information and Mode Interaction Selection
James Enouen, Mahito Sugiyama, April 2026
[openreview] [pdf] [bib] -
Improving Visual Discriminability of CLIP for Training-Free Open-Vocabulary Semantic Segmentation
Jinxin Zhou, Jiachen Jiang, Zhihui Zhu, April 2026
[openreview] [pdf] [bib] [code] -
Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set
Yikai Wu, Haoyu Zhao, Sanjeev Arora, April 2026
[openreview] [pdf] [bib] [code] -
Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown
Sandra Gómez-Gálvez, Tobias Olenyi, Gillian Dobbie, Katerina Taskova, April 2026
[openreview] [pdf] [bib] [code] [video] -
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan, Rafayel Darbinyan, Samvel Karapetyan, Hrant Khachatrian, April 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
DRAW: Domain Weight Randomization with Bayesian Updating for LLM Pre-Training
Ruonan Wang, Yongqi Qiao, Zhonglin Xie, Kun Yuan, April 2026
[openreview] [pdf] [bib] -
Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning
Mingyu Cao, Gen Li, Jie Ji, Jiaqi Zhang, Ajay Jaiswal, Li Shen, Xiaolong Ma, Shiwei Liu, Lu Yin, April 2026
[openreview] [pdf] [bib] -
Towards Generalized Certified Robustness with Multi-Norm Training
Enyi Jiang, David Shu Cheung, Gagandeep Singh, April 2026
[openreview] [pdf] [bib] [code] -
Rethinking Coreset Selection: The Surprising Effectiveness of Soft Labels
Saumyaranjan Mohanty, Deexitha Vattivella, Konda Reddy Mopuri, April 2026
[openreview] [pdf] [bib] [code] -
GENIE: Watermarking Graph Neural Networks for Link Prediction
Venkata Sai Pranav Bachina, Aaryan Ajay Sharma, Charu Sharma, Ankit Gangwal, April 2026
[openreview] [pdf] [bib] [code] [video] -
Approximately Equivariant Recurrent Generative Models for Quasi-Periodic Time Series with a Progressive Training Scheme
Ruwen Fulek, Markus Lange-Hegermann, April 2026
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution
Muhammad Umair Haider, Hammad Rizwan, Hassan Sajjad, Peizhong Ju, A.B. Siddique, April 2026
[openreview] [pdf] [bib] [code] -
Interpreting Kolmogorov-Arnold Networks in Neuroimaging: A Path-Based Attribution Framework
Suhrud Murthy, Venkatesh Babu Radhakrishnan, Neelam Sinha, April 2026
[openreview] [pdf] [bib] [code] [video] -
E$^2$M: Double Bounded $\alpha$-Divergence Optimization for Tensor-based Discrete Density Estimation
Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup, April 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: Featured J2C -
D-Garment: Physically Grounded Latent Diffusion for Dynamic Garment Deformations
Antoine Dumoulin, Adnane Boukhayma, Laurence Boissieux, Bharath Bhushan Damodaran, Pierre Hellier, Stefanie Wuhrer, April 2026
[openreview] [pdf] [bib] [code] [video] -
Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning
Xuyang Shen, Zijie Pan, Diego Cerrai, Xinxuan Zhang, Christopher Colorio, Emmanouil Anagnostou, Dongjin Song, April 2026
[openreview] [pdf] [bib] -
BN-Pool: Bayesian Nonparametric Pooling for Graphs
Daniele Castellana, Filippo Maria Bianchi, April 2026
[openreview] [pdf] [bib] [code] -
MACAW: A Causal Generative Model for Medical Imaging
Vibujithan Vigneshwaran, Erik Yuiti Ohara, Matthias Wilms, Nils Forkert, April 2026
[openreview] [pdf] [bib] [code] -
MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan, April 2026
[openreview] [pdf] [bib] -
Counting Still Counts: Understanding Neural Complex Query Answering Through Query Relaxation
Yannick Brunink, Daniel Daza, Yunjie He, Michael Cochez, April 2026
[openreview] [pdf] [bib] [code] -
PRISM: PRIor from corpus Statistics for topic Modeling
Tal Ishon, Yoav Goldberg, Uri Shaham, April 2026
[openreview] [pdf] [bib]
Certifications: Featured -
A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems
Xavier Gonzalez, E. Kelly Buchanan, Hyun Dong Lee, Jerry Weihong Liu, Ke Alexander Wang, David M. Zoltowski, Leo Kozachkov, Christopher Re, Scott Linderman, April 2026
[openreview] [pdf] [bib] [code] -
MissNODAG: Differentiable Learning of Cyclic Causal Graphs from Incomplete Data
Muralikrishnna Guruswamy Sethuraman, Razieh Nabi, Faramarz Fekri, April 2026
[openreview] [pdf] [bib] [code] -
Learning Long-Range Representations with Equivariant Messages
Egor Rumiantsev, Marcel F. Langer, Tulga-Erdene Sodjargal, Michele Ceriotti, Philip Loche, April 2026
[openreview] [pdf] [bib] -
Kernel Matrix Estimation of a Determinantal Point Process from a Finite Set of Samples: Properties and Algorithms
Marc Castella, Jean-Christophe Pesquet, April 2026
[openreview] [pdf] [bib] [code] -
Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification
Julian Rodemann, Alexander Marquard, Thomas Augustin, Michele Caprio, April 2026
[openreview] [pdf] [bib] [code] -
Learning Energy-Based Models by Self-Normalising the Likelihood
Hugo Henri Joseph Senetaire, Paul Jeha, Jes Frellsen, Pierre-Alexandre Mattei, April 2026
[openreview] [pdf] [bib] -
A Survey on Over-smoothing and Over-squashing: Unified Propagation Perspectives on Graph Neural Networks and Transformers
Alvaro Arroyo, Federico Barbero, Hugh Blayney, Michael M. Bronstein, Xiaowen Dong, Pietro Lio, Razvan Pascanu, Pierre Vandergheynst, April 2026
[openreview] [pdf] [bib] -
Tube Loss: A Novel Loss Function for Prediction Interval Estimation
Pritam Anand, Tathagata Bandyopadhyay, Suresh Chandra, April 2026
[openreview] [pdf] [bib] -
Feature Representation Transferring to Lightweight Models via Perception Coherence
Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda CHHAIBI, Serge Gratton, Thierry Giaccone, April 2026
[openreview] [pdf] [bib] -
Transformers as Implicit State Estimators: In-Context Learning in Dynamical Systems
Usman Akram, Haris Vikalo, April 2026
[openreview] [pdf] [bib] [code] -
Towards Customized Knowledge Distillation for Efficient Dense Image Predictions
Dong Zhang, Pingcheng Dong, Long Chen, Kwang-Ting Cheng, April 2026
[openreview] [pdf] [bib] -
SemVAD: Fusing Semantic and Vision Features for Weakly Supervised Video Anomaly Detection
Hamza Karim, Yasin Yilmaz, April 2026
[openreview] [pdf] [bib] -
Structure is Supervision: Multiview Masked Autoencoders for Radiology
Sonia Laguna, Andrea Agostini, Alain Ryser, Samuel Ruiperez-Campillo, Irene Cannistraci, Moritz Vandenhirtz, Stephan Mandt, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E Vogt, April 2026
[openreview] [pdf] [bib] [code] -
Asymptotically and Minimax Optimal Regret Bounds for Multi-Armed Bandits with Abstention
Junwen Yang, Tianyuan Jin, Vincent Y. F. Tan, April 2026
[openreview] [pdf] [bib] -
MV2MAE: Self-Supervised Video Pre-Training with Motion-Aware Multi-View Masked Autoencoders
Ketul Shah, Robert Crandall, Jie Xu, Peng Zhou, Vipin Pillai, Marian George, Mayank Bansal, Rama Chellappa, April 2026
[openreview] [pdf] [bib] [code] -
Accurate Split Learning on Noisy Signals
Hang Xu, Subhajit Maity, Aritra Dutta, Xin Li, Panos Kalnis, April 2026
[openreview] [pdf] [bib] [code] -
Language-Aware Information Maximization for Transductive Few-Shot CLIP
Ghassen Baklouti, Maxime Zanella, Ismail Ben Ayed, April 2026
[openreview] [pdf] [bib] [code] -
Safe Reinforcement Learning using Action Projection: Safeguard the Policy or the Environment?
Hannah Markgraf, Shambhuraj Sawant, Hanna Krasowski, Lukas Schäfer, Sebastien Gros, Matthias Althoff, March 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
Sairam S, Sara Girdhar, Shivam Soni, March 2026
[openreview] [pdf] [bib] [code] -
Logical Anomaly Detection with Masked Image Modeling
Shunsuke SAKAI, Tatsuhito Hasegawa, Makoto Koshino, March 2026
[openreview] [pdf] [bib] [code] -
Ternary Momentum For Quantized Training
Noga Bar, Amit Attia, Michal Moshkovitz, Dotan Di Castro, March 2026
[openreview] [pdf] [bib] -
On Sketching for Gaussian Process Regression with New Statistical Guarantees
Jayesh Malaviya, Rachit Chhaya, Anirban Dasgupta, Supratim Shit, March 2026
[openreview] [pdf] [bib] [code] -
Towards Online Multimodal Social Interaction Understanding
Xinpeng Li, Shijian Deng, Bolin Lai, Weiguo Pian, James Matthew Rehg, Yapeng Tian, March 2026
[openreview] [pdf] [bib] [code] [video] -
ECLipsE-Gen-Local: Efficient Compositional Local Lipschitz Estimates for Deep Neural Networks
Yuezhu Xu, S Sivaranjani, March 2026
[openreview] [pdf] [bib] [code] [video] -
Quantitative Analysis of the Effect of Density Ratio Estimation in Covariate Shift Adaptation
Chenglin Yu, Zhengyu Zhou, Weiwei Liu, March 2026
[openreview] [pdf] [bib] [code] -
Learning Representations for Independence Testing
Nathaniel Xu, Feng Liu, Danica J. Sutherland, March 2026
[openreview] [pdf] [bib] [code] -
Uncertainty-Aware Systems for Human-AI Collaboration
Vasco Pearson, Jean V. Alves, Jacopo Bono, Mario A. T. Figueiredo, Pedro Bizarro, March 2026
[openreview] [pdf] [bib] [code] -
Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey
Bhavuk Jain, Sercan O Arik, HARDEO KUMAR THAKUR, March 2026
[openreview] [pdf] [bib] -
Distilled Circuits: A Mechanistic Study of Internal Restructuring in Knowledge Distillation
Reilly Haskins, Benjamin Adams, March 2026
[openreview] [pdf] [bib] [code] -
FIT-GNN: Faster Inference Time for GNNs that ‘FIT’ in Memory Using Coarsening
Shubhajit Roy, Hrriday Ruparel, Kishan Ved, Anirban Dasgupta, March 2026
[openreview] [pdf] [bib] [code] -
One Model for All: Multi-Objective Controllable Language Models
Qiang He, Yucheng Yang, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy, Setareh Maghsudi, March 2026
[openreview] [pdf] [bib] -
One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image
Ezzeldin Shereen, Dan Ristea, Shae McFadden, Burak Hasircioglu, Vasilios Mavroudis, Chris Hicks, March 2026
[openreview] [pdf] [bib] [code] -
Transformers in the Dark: Navigating Unknown Search Spaces via Bandit Feedback
Jungtaek Kim, Thomas Zeng, Ziqian Lin, Minjae Lee, Chungpa Lee, Jy-yong Sohn, Hyung Il Koo, Kangwook Lee, March 2026
[openreview] [pdf] [bib]
Certifications: J2C -
A Bayesian Approach to Segmentation with Noisy Labels via Spatially Correlated Distributions
Ryu Tadokoro, Tsukasa Takagi, Shin-ichi Maeda, March 2026
[openreview] [pdf] [bib] [code] -
Cost-Aware Routing for Efficient Text-To-Image Generation
Qinchan Li, Kenneth Chen, Changyue Su, Wittawat Jitkrittum, Qi Sun, Patsorn Sangkloy, March 2026
[openreview] [pdf] [bib] -
FedLOE: Federated Domain Generalization via Locally Overfit Ensemble
Ruqi Bai, David I. Inouye, March 2026
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
SpikingBrain: Spiking Brain-inspired Large Models
Yuqi Pan, Yupeng Feng, JingHao Zhuang, siyu ding, Han Xu, Zehao Liu, Bohan Sun, Yuhong Chou, Xuerui Qiu, Anlin Deng, Anjie Hu, Shurong Wang, Peng Zhou, Man Yao, Jibin Wu, jian yang, 孙国梁, Bo XU, Guoqi Li, March 2026
[openreview] [pdf] [bib] [code] -
PrismBench: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search
Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, March 2026
[openreview] [pdf] [bib] [code] -
Graph Concept Bottleneck Models
Haotian Xu, Tsui-Wei Weng, Lam M. Nguyen, Tengfei Ma, March 2026
[openreview] [pdf] [bib] -
Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
Kemal Oksuz, Alexandru Buburuzan, Anthony Knittel, Yuhan Yao, Puneet K. Dokania, March 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Learning to Localize Leakage of Cryptographic Sensitive Variables
Jimmy Gammell, Anand Raghunathan, Abolfazl Hashemi, Kaushik Roy, March 2026
[openreview] [pdf] [bib] [code] -
Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning
Radman Rakhshandehroo, Daniel Coombs, March 2026
[openreview] [pdf] [bib] [code] [video] -
$\texttt{SEM-CTRL}$: Semantically Controlled Decoding
Mohammad Albinhassan, Pranava Madhyastha, Alessandra Russo, March 2026
[openreview] [pdf] [bib] [video]
Certifications: J2C -
Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training
Yangyi Chen, Hao Peng, Tong Zhang, Heng Ji, March 2026
[openreview] [pdf] [bib] [code] -
Automated Attention Pattern Discovery at Scale in Large Language Models
Jonathan Katzy, Razvan Mihai Popescu, Erik Mekkes, Arie van Deursen, Maliheh Izadi, March 2026
[openreview] [pdf] [bib] [code] -
Covariance Density Neural Networks
Om Roy, Yashar Moshfeghi, Keith M Smith, March 2026
[openreview] [pdf] [bib] -
Offline Reinforcement Learning via Inverse Optimization
Ioannis Dimanidis, Tolga Ok, Peyman Mohajerin Esfahani, March 2026
[openreview] [pdf] [bib] [code] -
Muon Optimizes Under Spectral Norm Constraints
Lizhang Chen, Jonathan Li, qiang liu, March 2026
[openreview] [pdf] [bib] -
ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models
Yujia Wang, Yuanpu Cao, Jinghui Chen, March 2026
[openreview] [pdf] [bib] -
Unlearning in Diffusion models under Data Constraints: A Variational Inference Approach
Subhodip Panda, Varun M S, Shreyans Jain, Sarthak Kumar Maharana, Prathosh AP, March 2026
[openreview] [pdf] [bib] [code] -
Generalizing Coverage Plots for Simulation-based Inference
Maximilian Lipp, Benjamin Kurt Miller, Lyubov Amitonova, Patrick Forré, March 2026
[openreview] [pdf] [bib] -
Quantifying Structure in CLIP Embeddings: A Statistical Framework for Concept Interpretation
Jitian Zhao, Chenghui Li, Frederic Sala, Karl Rohe, March 2026
[openreview] [pdf] [bib] -
Hierarchical Mamba Meets Hyperbolic Geometry: A New Paradigm for Structured Language Embeddings
Sarang Rajendra Patil, Ashish Parmanand Pandey, Ioannis Koutis, Mengjia Xu, March 2026
[openreview] [pdf] [bib] [code] -
SPARC: Concept-Aligned Sparse Autoencoders for Cross-Model and Cross-Modal Interpretability
Ali Nasiri-Sarvi, Hassan Rivaz, Mahdi S. Hosseini, March 2026
[openreview] [pdf] [bib] [code] -
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
Longtao Zheng, Yifan Zhang, Hanzhong Guo, Jiachun Pan, Zhenxiong Tan, Jiahao Lu, Chuanxin Tang, Bo An, Shuicheng YAN, March 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
Wen Ye, Wei Yang, Defu Cao, Yizhou Zhang, Lumingyuan Tang, Jie Cai, Yan Liu, March 2026
[openreview] [pdf] [bib] -
EarthquakeNPP: A Benchmark for Earthquake Forecasting with Neural Point Processes
Samuel Stockman, Daniel John Lawson, Maximilian J. Werner, March 2026
[openreview] [pdf] [bib] [code] -
UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models
Xiaojie Gu, Ziying Huang, Jia-Chen Gu, Kai Zhang, March 2026
[openreview] [pdf] [bib] -
A Systematic Study of In-the-Wild Model Merging for Large Language Models
Oğuz Kağan Hitit, Leander Girrbach, Zeynep Akata, March 2026
[openreview] [pdf] [bib] [code] -
Advantage Shaping as Surrogate Reward Maximization: Unifying Pass@K Policy Gradients
Christos Thrampoulidis, Sadegh Mahdavi, Wenlong Deng, March 2026
[openreview] [pdf] [bib] -
From Weighting to Modeling: A Nonparametric Estimator for Off-Policy Evaluation
Rong J.B. Zhu, March 2026
[openreview] [pdf] [bib] [code] -
Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models
Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar, Yiwen Song, Long Le, Lesly Miculicich, Jinsung Yoon, Rui Zhang, Hamid Palangi, Tomas Pfister, March 2026
[openreview] [pdf] [bib] -
Reasoning-Driven Synthetic Data Generation and Evaluation
Tim R. Davidson, Benoit Seguin, Enrico Bacis, Cesar Ilharco, Hamza Harkous, March 2026
[openreview] [pdf] [bib]
Certifications: J2C -
On Gossip Algorithms for Machine Learning with Pairwise Objectives
Igor Colin, Aurélien Bellet, Stephan Clémençon, Joseph Salmon, March 2026
[openreview] [pdf] [bib] -
Neural Conditional Transport Maps
Carlos Rodriguez-Pardo, Leonardo Chiani, Emanuele Borgonovo, Massimo Tavoni, March 2026
[openreview] [pdf] [bib] [code] -
Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning
Meitong Liu, Xiaoyuan Zhang, Chulin Xie, Kate Donahue, Han Zhao, March 2026
[openreview] [pdf] [bib] [code] -
Lorenza: Enhancing Generalization in Low-Rank Gradient LLM Training via Efficient Zeroth-Order Adaptive SAM
Yehonathan Refael, Iftach Arbel, Ofir Lindenbaum, Tom Tirer, March 2026
[openreview] [pdf] [bib] -
S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting
Hongyi Chen, Xiucheng Li, Xinyang Chen, Yun Cheng, Jing Li, Kehai Chen, Liqiang Nie, March 2026
[openreview] [pdf] [bib] [code] -
Guess-and-Learn (G&L): Measuring the Cumulative Error Cost of Cold-Start Adaptation
Roland Arnold, March 2026
[openreview] [pdf] [bib] [code] -
GriDiT: Factorized Grid-Based Diffusion for Efficient Long Image Sequence Generation
Snehal Singh Tomar, Alexandros Graikos, Arjun Krishna, Dimitris Samaras, Klaus Mueller, March 2026
[openreview] [pdf] [bib] [code] [video] -
Amplified Patch-Level Differential Privacy for Free via Random Cropping
Kaan Durmaz, Jan Schuchardt, Sebastian Schmidt, Stephan Günnemann, March 2026
[openreview] [pdf] [bib] [code] -
Facial Counterfactual Generation via Causal Mask-Guided Editing
Pei Sze Tan, Sailaja Rajanala, Arghya Pal, Raphael CW Phan, Huey Fang Ong, March 2026
[openreview] [pdf] [bib] [code] -
LLM-Based World Models Can Make Decisions Solely, But Rigorous Evaluations are Needed
Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang, March 2026
[openreview] [pdf] [bib] -
GroundingBooth: Grounding Text-to-Image Customization
Zhexiao Xiong, Wei Xiong, Jing Shi, He Zhang, Yizhi Song, Nathan Jacobs, March 2026
[openreview] [pdf] [bib] [code] -
LJ-Bench: Ontology-Based Benchmark for U.S. Crime
Hung Yun Tseng, Wuzhen Li, Blerina Gkotse, Grigorios Chrysos, March 2026
[openreview] [pdf] [bib] [code] -
Making Video Models Adhere to User Intent with Minor Adjustments
Daniel Ajisafe, Eric Hedlin, Helge Rhodin, Kwang Moo Yi, March 2026
[openreview] [pdf] [bib] [code] [video] -
Inverse classification with logistic and softmax classifiers: efficient optimization
Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada, March 2026
[openreview] [pdf] [bib] [code] -
XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis
Israel Zexer, Omri Azencot, March 2026
[openreview] [pdf] [bib] [code] -
Hypothesis-Driven Feature Manifold Analysis in LLMs via Supervised Multi-Dimensional Scaling
Federico Tiblias, Irina Bigoulaeva, Jingcheng Niu, Simone Balloccu, Iryna Gurevych, March 2026
[openreview] [pdf] [bib] [code] -
PriSM: Prior-Guided Search Methods for Query Efficient Black-Box Attacks
Pavlos Ntais, Thanassis Avgerinos, March 2026
[openreview] [pdf] [bib] [code] -
Involuntary Jailbreak: On Self-Prompting Attacks
Yangyang Guo, Yangyan Li, Mohan Kankanhalli, March 2026
[openreview] [pdf] [bib] [code] -
Statistical Inference for Generative Model Comparison
Zijun Gao, Han Su, Yan Sun, March 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
On the Dynamics & Transferability of Latent Generalization during Memorization
Simran Ketha, Venkatakrishnan Ramaswamy, March 2026
[openreview] [pdf] [bib] [code] -
A Systematic Evaluation of Out-of-Distribution Generalization in Crop Yield Prediction
Aditya Chakravarty, March 2026
[openreview] [pdf] [bib] -
Flow Matching for Tabular Data Synthesis
Bahrul Ilmi Nasution, Floor Eijkelboom, Mark Elliot, Richard Allmendinger, Christian A. Naesseth, March 2026
[openreview] [pdf] [bib] [code] -
Goal Achievement Guided Exploitation: A Principled Performance-Based Scheduling Framework for Reinforcement Learning
Shengchao Yan, Baohe Zhang, Chenguang Huang, Joschka Boedecker, Wolfram Burgard, March 2026
[openreview] [pdf] [bib] -
SPoT: Subpixel Placement of Tokens in Vision Transformers
Martine Hjelkrem-Tan, Marius Aasan, Gabriel Y. Arteaga, Adín Ramírez Rivera, March 2026
[openreview] [pdf] [bib] [code] -
Merging Memory and Space: A State Space Neural Operator
Nodens Koren, Samuel Lanthaler, March 2026
[openreview] [pdf] [bib] -
End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW
Abdo Abouelrous, Laurens Bliek, Yaoxin Wu, Yingqian Zhang, March 2026
[openreview] [pdf] [bib] -
Explaining Graph Neural Networks for Node Similarity on Graphs
Daniel Daza, Cuong Xuan Chu, Trung-Kien Tran, Daria Stepanova, Michael Cochez, Paul Groth, March 2026
[openreview] [pdf] [bib] [code] -
A Tighter Bound for Reward Learning in Reinforcement Learning from Human Feedback
Guoxi Chen, Xing Chen, Bo An, Ya Zhang, March 2026
[openreview] [pdf] [bib] -
SSL-SLR: Self-Supervised Representation Learning for Sign Language Recognition
Ariel Basso Madjoukeng, Jérôme Fink, Pierre Poitier, Edith Belise Kenmogne, Benoit Frenay, March 2026
[openreview] [pdf] [bib] -
Are foundation models for computer vision good conformal predictors?
Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz, March 2026
[openreview] [pdf] [bib] -
EdgeMask-DG*: Learning Domain-Invariant Graph Structures via Adversarial Edge Masking
Rishabh Bhattacharya, Naresh Manwani, March 2026
[openreview] [pdf] [bib] [code] -
Cropping outperforms dropout as an augmentation strategy for self-supervised training of text embeddings
Rita González-Márquez, Philipp Berens, Dmitry Kobak, March 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Training speedups via batching for geometric learning: an analysis of static and dynamic algorithms
Daniel T. Speckhard, Tim Bechtel, Sebastian Kehl, Jonathan Godwin, Claudia Draxl, March 2026
[openreview] [pdf] [bib] [code] -
The Role of Feature Interactions in Graph-based Tabular Deep Learning
Elias Dubbeldam, Reza Mohammadi, Marit Schoonhoven, Ilker Birbil, March 2026
[openreview] [pdf] [bib] [code] [video] -
A Practical Algorithm for Feature-Rich, Non-Stationary Bandit Problems
William Loh, Sajib Kumer Sinha, Ankur Agarwal, Pascal Poupart, March 2026
[openreview] [pdf] [bib] [code] -
PipelineRL: Faster On-policy Reinforcement Learning for Long Sequence Generation
Alexandre Piché, Ehsan Kamalloo, Rafael Pardinas, Xiaoyin Chen, Dzmitry Bahdanau, March 2026
[openreview] [pdf] [bib] -
BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis
Lutao Jiang, Xu Zheng, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang, March 2026
[openreview] [pdf] [bib] [code] -
Fast Debiasing of the LASSO Estimator
Shuvayan Banerjee, James Saunderson, Radhendushka Srivastava, Ajit Rajwade, March 2026
[openreview] [pdf] [bib] [code] -
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching
RuiKang OuYang, Bo Qiang, José Miguel Hernández-Lobato, March 2026
[openreview] [pdf] [bib] [code] -
PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion
Humaira Kousar, Hasnain Irshad Bhatti, Jaekyun Moon, March 2026
[openreview] [pdf] [bib]
Certifications: Featured -
TACO: Training-free Sound Prompted Segmentation via Semantically Constrained Audio-visual CO-factorization
Hugo Malard, Michel Olvera, Stéphane Lathuilière, Slim Essid, March 2026
[openreview] [pdf] [bib] [code] -
Stepwise Guided Policy Optimization: Coloring Your Incorrect Reasoning in GRPO
Peter Chen, Xiaopeng Li, Ziniu Li, Xi Chen, Tianyi Lin, March 2026
[openreview] [pdf] [bib] -
Lifelong Open-Ended Probability Predictors
Omid Madani, March 2026
[openreview] [pdf] [bib] [code] [video] -
Understanding Accelerated Gradient Methods: Lyapunov Analyses and Hamiltonian-Assisted Interpretations
Penghui Fu, Zhiqiang Tan, March 2026
[openreview] [pdf] [bib] [code] -
HiBaNG: Hierarchical Bayesian Nonparametric Granger Causal Discovery in Low-Data Regimes
He Zhao, Vassili Kitsios, Terence O'kane, Edwin V. Bonilla, March 2026
[openreview] [pdf] [bib] -
Wikipedia in the Era of LLMs: Evolution and Risks
Siming Huang, Yuliang Xu, Mingmeng Geng, Yao Wan, Dongping Chen, March 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Process Reward Models That Think
Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang, March 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
A Survey of Reasoning in Autonomous Driving Systems: Open Challenges and Emerging Paradigms
Kejin Yu, Yuhan Sun, Taiqiang Wu, Ruixu Zhang, Zhiqiang Lin, Yuxin Meng, Junjie Wang, Yujiu Yang, March 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Mollifier Layers: Enabling Efficient High-Order Derivatives in Inverse PDE Learning
Vinayak Vinayak, Ananyae Kumar bhartari, Vivek Shenoy, March 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Physics-Informed Deep B-Spline Networks
Zhuoyuan Wang, Raffaele Romagnoli, Saviz Mowlavi, Yorie Nakahira, March 2026
[openreview] [pdf] [bib] [code] -
Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training
Jiancheng Xie, Lou C Voinov, Noga Mudrik, Gal Mishne, Adam Shabti Charles, March 2026
[openreview] [pdf] [bib] [code] -
Are vision language models robust to classic uncertainty challenges?
Xi Wang, Eric Nalisnick, March 2026
[openreview] [pdf] [bib] -
Learning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction
Hrishikesh Viswanath, Yue Chang, Aleksey Panas, Julius Berner, Peter Yichen Chen, Aniket Bera, March 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Open Technical Problems in Open-Weight AI Model Risk Management
Stephen Casper, Kyle O'Brien, Shayne Longpre, Elizabeth Seger, Kevin Klyman, Rishi Bommasani, Aniruddha Nrusimha, Ilia Shumailov, Sören Mindermann, Steven Basart, Frank Rudzicz, Kellin Pelrine, Avijit Ghosh, Andrew Strait, Robert Kirk, Dan Hendrycks, Peter Henderson, J Zico Kolter, Geoffrey Irving, Yarin Gal, Yoshua Bengio, Dylan Hadfield-Menell, March 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Continual Robot Learning via Language-Guided Skill Acquisition
Shuo Cheng, Zhaoyi Li, Kelin Yu, Danfei Xu, March 2026
[openreview] [pdf] [bib]
Certifications: J2C -
From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning
Rémi Bourgerie, Sarunas Girdzijauskas, Viktoria Fodor, March 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Contextual Learning for Anomaly Detection in Tabular Data
Spencer King, Zhilu Zhang, Ruofan Yu, Baris Coskun, Wei Ding, Qian Cui, March 2026
[openreview] [pdf] [bib] -
Probing Layer-wise Memorization and Generalization in Deep Neural Networks via Model Stitching
Aishwarya Gupta, Indranil Saha, Piyush Rai, March 2026
[openreview] [pdf] [bib] [code] -
COunterfactual Reasoning for Temporal EXplanations: Plausible and Robust Explanations for EEG-Based Seizure Detection
Martina Zannotti, Bardh Prenkaj, Marco Piangerelli, Flavio Corradini, Gjergji Kasneci, March 2026
[openreview] [pdf] [bib] -
Any Image Restoration via Efficient Spatial-Frequency Degradation Adaptation
Bin Ren, Eduard Zamfir, Zongwei Wu, Yawei Li, Yidi Li, Danda Pani Paudel, Radu Timofte, Ming-Hsuan Yang, Luc Van Gool, Nicu Sebe, March 2026
[openreview] [pdf] [bib] -
Leveraging Recursive Methods for Efficient Federated Learning
Jie Liu, Zuang Wang, Yongqiang Wang, March 2026
[openreview] [pdf] [bib] -
Discovering Symbolic Differential Equations with Symmetry Invariants
Jianke Yang, Manu Bhat, Bryan Hu, Yadi Cao, Nima Dehmamy, Robin Walters, Rose Yu, March 2026
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Improving Local Explainability By Learning Causal Graphs From Data
Daan Roos, Sebastian Gerwinn, Jan-Willem van de Meent, Sara Magliacane, March 2026
[openreview] [pdf] [bib] -
Addition is almost all you need: Compressing large language models with double binary factorization
Vladimír Boža, Vladimír Macko, March 2026
[openreview] [pdf] [bib] [code] -
StethoLM: Audio Language Model for Cardiopulmonary Analysis Across Clinical Tasks
Yishan Wang, Tsai-Ning Wang, Mathias Funk, Aaqib Saeed, March 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Optimistic Online Learning in Symmetric Cone Games
Anas Barakat, Wayne Lin, John Lazarsfeld, Antonios Varvitsiotis, March 2026
[openreview] [pdf] [bib] -
A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning
Shashank Gupta, Chaitanya Ahuja, Tsung-Yu Lin, Sreya Dutta Roy, Harrie Oosterhuis, Maarten de Rijke, Satya Narayan Shukla, March 2026
[openreview] [pdf] [bib] -
Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers
M Yashwanth, Sharannya Ghosh, Aditay Tripathi, Anirban Chakraborty, March 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
MIRA: Multi-view Information Retrieval with Adaptive Routing for Test-time Long-video Comprehension
Zecheng Hao, Wayne Ma, Yufeng Cui, Shuang Li, Xinlong Wang, Tiejun Huang, March 2026
[openreview] [pdf] [bib] [code] -
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Raghav Singhal, Kaustubh Ponkshe, Rohit Vartak, Lav R. Varshney, Praneeth Vepakomma, March 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almudévar, Alfonso Ortega, March 2026
[openreview] [pdf] [bib] [code] -
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Wenzhe Li, Yong Lin, Mengzhou Xia, Chi Jin, March 2026
[openreview] [pdf] [bib] -
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
Dung Daniel Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Steven Wu, March 2026
[openreview] [pdf] [bib] -
Learning to reconstruct from saturated data: audio declipping and high-dynamic range imaging
Victor Sechaud, Laurent Jacques, Patrice Abry, Julián Tachella, March 2026
[openreview] [pdf] [bib] [code]
Certifications: Featured -
Frictionless Hamiltonian Descent with Discretization and Parallel Optimization
Heng Zhu, Jun-Kun Wang, March 2026
[openreview] [pdf] [bib] [code] -
An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandit Problems
Amaury Gouverneur, Tobias Oechtering, Mikael Skoglund, March 2026
[openreview] [pdf] [bib] [code] -
Prompt-based Adaptation in Large-scale Vision Models: A Survey
Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han, March 2026
[openreview] [pdf] [bib] -
Collaborative QA using Interacting LLMs. Impact of Network Structure, Node Capability and Distributed Data.
Adit Jain, Vikram Krishnamurthy, Yiming Zhang, March 2026
[openreview] [pdf] [bib] -
Dynamics‑Aligned Diffusion Planning for Offline RL: A Unified Framework with Forward and Inverse Guidance
Zihao Wang, Ke Jiang, Xiaoyang Tan, March 2026
[openreview] [pdf] [bib] [code] -
Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection
Furkan Mumcu, Michael J. Jones, Anoop Cherian, Yasin Yilmaz, March 2026
[openreview] [pdf] [bib] -
Genomic Next-Token Predictors are In-Context Learners
Nathan Breslow, Aayush Mishra, Michael Schatz, Anqi Liu, Mahler Revsine, Daniel Khashabi, March 2026
[openreview] [pdf] [bib] [code] -
When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models
Sunny Sanyal, Ravid Shwartz-Ziv, Alex Dimakis, sujay sanghavi, March 2026
[openreview] [pdf] [bib] [code] -
GIFT: A Framework Towards Global Interpretable Faithful Textual Explanations of Vision Classifiers
Eloi Zablocki, Valentin Gerard, Amaia Cardiel, Eric Gaussier, Matthieu Cord, Eduardo Valle, March 2026
[openreview] [pdf] [bib]
Certifications: Featured -
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale
Xiaona Zhou, Constantin Brif, Ismini Lourentzou, March 2026
[openreview] [pdf] [bib]
Certifications: Reproducibility -
Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks
Alexandros Doumanoglou, Kurt Driessens, Dimitrios Zarpalas, March 2026
[openreview] [pdf] [bib] [code] [video] -
A Bayesian Bootstrap Framework for Mutual Information Neural Estimation: Bridging Classical Mutual Information Learning and Bayesian Nonparametric Learning
Forough Fazeli-Asl, Michael Minyi Zhang, Linglong Kong, Bei Jiang, March 2026
[openreview] [pdf] [bib] -
SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery
Sanchit Kabra, Shobhnik Kriplani, Parshin Shojaee, Chandan K. Reddy, March 2026
[openreview] [pdf] [bib] [code] -
Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper
Atsuyuki Miyai, Mashiro Toyooka, Takashi Otonari, Zaiying Zhao, Kiyoharu Aizawa, March 2026
[openreview] [pdf] [bib] [code] -
Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It
Dongseok Kim, Hyoungsun Choi, Mohamed Jismy Aashik Rasool, Gisung Oh, March 2026
[openreview] [pdf] [bib] [code] -
Multiscale Training of Convolutional Neural Networks
Shadab Ahamed, Niloufar Zakariaei, Eldad Haber, Moshe Eliasof, March 2026
[openreview] [pdf] [bib] [code] [video] -
Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime
Noah Oberweis, Semih Cayci, March 2026
[openreview] [pdf] [bib] -
Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning
Yingxiao Huo, Satya Prakash Dash, Radu Stoican, Samuel Kaski, Mingfei Sun, February 2026
[openreview] [pdf] [bib] [code] -
Uncovering the Redundancy in Transformers via a Unified Study of Layer Dropping
Shwai He, Guoheng Sun, Zheyu Shen, Ang Li, February 2026
[openreview] [pdf] [bib] -
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Alireza Fathalizadeh, Roozbeh Razavi-Far, February 2026
[openreview] [pdf] [bib] [code] -
\texttt{Complex-Edit}: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark
Siwei Yang, Mude Hui, Bingchen Zhao, Yuyin Zhou, Nataniel Ruiz, Cihang Xie, February 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
ODE-Constrained Generative Modeling of Cardiac Dynamics for 12-Lead ECG Synthesis
Yakir Yehuda, Kira Radinsky, February 2026
[openreview] [pdf] [bib] -
VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model
Mengzhuo Chen, Jiani zheng, Lu Wang, Fangkai Yang, Chaoyun Zhang, Lingrui Mei, Wenjie Yin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, February 2026
[openreview] [pdf] [bib] -
Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance
Vladimir Petrovic, Rémi Bardenet, Agnes Desolneux, February 2026
[openreview] [pdf] [bib] -
Online Learning with Multiple Fairness Regularizers via Graph-Structured Feedback
Quan Zhou, Jakub Marecek, Robert Noel Shorten, February 2026
[openreview] [pdf] [bib] [code] -
Large Language Models for Scientific Idea Generation: A Creativity-Centered Survey
Fatemeh Shahhosseini, Arash Marioriyad, Ali Momen, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Shaghayegh Haghjooy Javanmard, February 2026
[openreview] [pdf] [bib] -
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
Ruhan Wang, Yu Yang, Zhishuai Liu, Dongruo Zhou, Pan Xu, February 2026
[openreview] [pdf] [bib] [code] -
Rethinking the Mixture of Vision Encoders Paradigm for Enhanced Visual Understanding in Multimodal LLMs
Mozhgan Nasr Azadani, James Riddell, Sean Sedwards, Krzysztof Czarnecki, February 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
STEALTH: Secure Transformer for Encrypted Alignment of Latent Text Embeddings via Semantic Isomorphism Enforcement (SIE) Loss Function
Nafew Azim, Nabeel Mohammed, February 2026
[openreview] [pdf] [bib] [video] -
Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning
Yuehan Qin, Li Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma, February 2026
[openreview] [pdf] [bib] -
KASPER: Kolmogorov Arnold Networks for Stock Prediction and Explainable Regimes
Vidhi Oad, Param Pathak, Nouhaila Innan, Shalini Devendrababu, Muhammad Shafique, February 2026
[openreview] [pdf] [bib] -
On Adversarial Attacks In Acoustic Localization
Tamir Shor, Chaim Baskin, Alex M. Bronstein, February 2026
[openreview] [pdf] [bib] -
Stochastic Multi-Objective Multi-Armed Bandits: Regret Definition and Algorithm
Mansoor Davoodi, Setareh Maghsudi, February 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations
Vladislav Trifonov, Ekaterina Muravleva, Ivan Oseledets, February 2026
[openreview] [pdf] [bib] -
AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning
Ioannis Tsingalis, Constantine Kotropoulos, Corentin Briat, February 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
A Survey of Model Architectures in Information Retrieval
Zhichao Xu, Fengran Mo, Zhiqi Huang, Crystina Zhang, Puxuan Yu, Bei Wang Phillips, Jimmy Lin, Vivek Srikumar, February 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Simplifying Optimal Transport through Schatten-$p$ Regularization
Tyler Maunu, February 2026
[openreview] [pdf] [bib] [code] -
When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models
Raphaël Razafindralambo, Rémy Sun, Damien Garreau, Frederic Precioso, Pierre-Alexandre Mattei, February 2026
[openreview] [pdf] [bib] [code] [video] -
Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning
Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari, Yash Sinha, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa, February 2026
[openreview] [pdf] [bib] -
SyntheRela: A Benchmark For Synthetic Relational Database Generation
Valter Hudovernik, Martin Jurkovic, Erik Štrumbelj, February 2026
[openreview] [pdf] [bib] [code] -
From Clutter to Clarity: Visual Recognition through Foveated Object-Centric Learning (FocL)
Amitangshu Mukherjee, Deepak Ravikumar, Kaushik Roy, February 2026
[openreview] [pdf] [bib] [code] [video] -
LVLM-Count: Enhancing the Counting Ability of Large Vision-Language Models
Muhammad Fetrat Qharabagh, Mohammadreza Ghofrani, Kimon Fountoulakis, February 2026
[openreview] [pdf] [bib] [code] -
Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems
Xiaolong He, Yeonjong Shin, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi, February 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection
Randolph Linderman, Noah Cowan, Yiran Chen, Scott Linderman, February 2026
[openreview] [pdf] [bib] [code] -
A Watermark for Black-Box Language Models
Dara Bahri, John Frederick Wieting, February 2026
[openreview] [pdf] [bib] -
Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
Guanyu Chen, Ruichen Wang, Tianren Zhang, Feng Chen, February 2026
[openreview] [pdf] [bib] [code] -
Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data
Jiancheng Zhang, Yinglun Zhu, February 2026
[openreview] [pdf] [bib] -
Diversity Boosts AI-Generated Text Detection
Advik Raj Basani, Pin-Yu Chen, February 2026
[openreview] [pdf] [bib] [code] -
Multimodal Prescriptive Deep Learning
Dimitris Bertsimas, Lisa Everest, Vasiliki Stoumpou, February 2026
[openreview] [pdf] [bib] -
Correctness-Aware Knowledge Distillation for Enhanced Student Learning
Ishan Mishra, Deepak Mishra, Jinjun Xiong, February 2026
[openreview] [pdf] [bib] -
Evaluating the Adversarial Robustness of CNNs Layer by Layer
Yaowen Wang, Daniel Cullina, February 2026
[openreview] [pdf] [bib] -
Adversarial Attacks in Weight-Space Classifiers
Tamir Shor, Ethan Fetaya, Chaim Baskin, Alex M. Bronstein, February 2026
[openreview] [pdf] [bib] [code] -
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
Hongseok Namkoong, Samuel Daulton, Eytan Bakshy, February 2026
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C -
VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
Rui Meng, Ziyan Jiang, Ye Liu, Mingyi Su, Xinyi Yang, Yuepeng Fu, Can Qin, Raghuveer Thirukovalluru, Xuan Zhang, Zeyuan Chen, Ran Xu, Caiming Xiong, Yingbo Zhou, Wenhu Chen, Semih Yavuz, February 2026
[openreview] [pdf] [bib] [code] -
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks
Dominik J. Mühlematter, Michelle Halbheer, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu, February 2026
[openreview] [pdf] [bib] [code] -
DiffKGW: Stealthy and Robust Diffusion Model Watermarking
Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang, February 2026
[openreview] [pdf] [bib] -
MiniGPT-Med: A Unified Vision-Language Model for Radiology Image Understanding
Asma Alkhaldi, Raneem Alnajim, Layan Alabdullatef, Rawan Alyahya, Jun Chen, Deyao Zhu, Ahmed Z. Alsinan, Mohamed Elhoseiny, February 2026
[openreview] [pdf] [bib] [code] -
Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic Potentials
Cong Fu, Yuchao Lin, Zachary Krueger, Haiyang Yu, Maho Nakata, Jianwen Xie, Emine Kucukbenli, Xiaofeng Qian, Shuiwang Ji, February 2026
[openreview] [pdf] [bib] [code] -
From Feature Visualization to Visual Circuits: Effect of Model Perturbation
geraldin nanfack, Michael Eickenberg, Eugene Belilovsky, February 2026
[openreview] [pdf] [bib] -
GenAI vs. Human Creators: Procurement Mechanism Design in Two-/Three-Layer Markets
Rui Ai, David Simchi-Levi, Haifeng Xu, February 2026
[openreview] [pdf] [bib] -
GraphMERT: Efficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data
Margarita Belova, Jiaxin Xiao, Shikhar Tuli, Niraj Jha, February 2026
[openreview] [pdf] [bib] [code] -
Sociodynamics of Reinforcement Learning
Yann Bouteiller, Karthik Soma, Giovanni Beltrame, February 2026
[openreview] [pdf] [bib] [code] -
Through the Judge's Eyes: Inferred Thinking Traces Improve Reliability of LLM Raters
Xingjian Zhang, Tianhong Gao, Suliang Jin, Tianhao Wang, Teng Ye, Eytan Adar, Qiaozhu Mei, February 2026
[openreview] [pdf] [bib] [code] -
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
Wenqian Ye, Luyang Jiang, Eric Xie, Guangtao Zheng, Yunsheng Ma, Xu Cao, Dongliang Guo, Daiqing Qi, Zeyu He, Yijun Tian, Christopher W. Porter, Megan Coffee, Zhe Zeng, Sheng Li, Ziran Wang, Ting-Hao Kenneth Huang, James Matthew Rehg, Henry Kautz, Aidong Zhang, February 2026
[openreview] [pdf] [bib] -
Learning Adaptive Multi-Stage Energy-based Prior for Hierarchical Generative Model
Jiali Cui, Tian Han, February 2026
[openreview] [pdf] [bib] -
Reproducibility Study: Understanding multi-agent LLM cooperation in the GovSim framework
Alessio Silverio, Carmen Michaela Chezan, Mathijs van Sprang, Tom Cappendijk, Martin Smit, February 2026
[openreview] [pdf] [bib] [code] -
A Multilevel Low-Rank Newton Method with Super-linear Convergence Rate and its Application to Non-convex Problems
Nick Tsipinakis, Panagiotis Tigas, Panos Parpas, February 2026
[openreview] [pdf] [bib] [code] -
From Preferences to Prejudice: The Role of Alignment Tuning in Shaping Social Bias in Video Diffusion Models
Zefan Cai, Haoyi Qiu, Haozhe Zhao, Ke Wan, Jiachen Li, Jiuxiang Gu, Wen Xiao, Nanyun Peng, Junjie Hu, February 2026
[openreview] [pdf] [bib] -
Semi-Supervised Cross-Domain Imitation Learning
Li-Min Chu, Kai-Siang Ma, Ming-Hong Chen, Ping-Chun Hsieh, February 2026
[openreview] [pdf] [bib] [code] [video] -
Exploring Perceptual Limitations of Multimodal LLMs on Small Visual Objects
Jiarui Zhang, Jinyi Hu, Mahyar Khayatkhoei, Filip Ilievski, Maosong Sun, February 2026
[openreview] [pdf] [bib] [code] -
Probabilistic Pretraining for Improved Neural Regression
Boris N. Oreshkin, Shiv Kumar Tavker, Dmitry Efimov, February 2026
[openreview] [pdf] [bib]
Certifications: J2C -
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning
Yexin Li, February 2026
[openreview] [pdf] [bib] [code] -
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar, February 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning
Moritz Lampert, Christopher Blöcker, Ingo Scholtes, February 2026
[openreview] [pdf] [bib] [code] -
Towards Scalable Language-Image Pre-training for 3D Medical Imaging
Chenhui Zhao, Yiwei Lyu, Asadur Zaman Chowdury, Edward S Harake, Akhil Kondepudi, Akshay T Rao, Xinhai Hou, Honglak Lee, Todd C Hollon, February 2026
[openreview] [pdf] [bib] [code] -
TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality
Carlos Vonessen, Charles Harris, Miruna Cretu, Pietro Lio, February 2026
[openreview] [pdf] [bib] [code] -
Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models
Inés Gonzalez Pepe, Hiba Akhaddar, Tristan Glatard, Yohan Chatelain, February 2026
[openreview] [pdf] [bib] [code] [video] -
A Multi-Fidelity Control Variate Approach for Policy Gradient Estimation
Xinjie Liu, Cyrus Neary, Kushagra Gupta, Wesley A. Suttle, Christian Ellis, ufuk topcu, David Fridovich-Keil, February 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
Proc-to-Spec: A Functorial Map of Network Processes
Shanfeng Hu, February 2026
[openreview] [pdf] [bib] [code] -
Topological Inductive Bias fosters Multiple Instance Learning in Data-Scarce Scenarios
Salome Kazeminia, Carsten Marr, Bastian Rieck, February 2026
[openreview] [pdf] [bib] [code] -
Watermarking Degrades Alignment in Language Models: Analysis and Mitigation
Apurv Verma, Hai Phan, Shubhendu Trivedi, February 2026
[openreview] [pdf] [bib] [code] [video] -
Policy Learning with a Language Bottleneck
Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas, February 2026
[openreview] [pdf] [bib] [code] -
Denoising Hamiltonian Network for Physical Reasoning
Congyue Deng, Brandon Y. Feng, Cecilia Garraffo, Alan Garbarz, Robin Walters, William T. Freeman, Leonidas Guibas, Kaiming He, February 2026
[openreview] [pdf] [bib] -
Amortized Bayesian Workflow
Chengkun LI, Aki Vehtari, Paul-Christian Bürkner, Stefan T. Radev, Luigi Acerbi, Marvin Schmitt, February 2026
[openreview] [pdf] [bib] [code] -
Layer Collapse Can be Induced by Unstructured Pruning
Zhu LIAO, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione, February 2026
[openreview] [pdf] [bib] [code] -
The Cost of Replicability in Active Learning
Rupkatha Hira, Dominik Kau, Jessica Sorrell, February 2026
[openreview] [pdf] [bib] -
Single-loop Algorithms for Stochastic Non-Convex Optimization with Weakly-Convex Constraints
Ming Yang, Gang Li, Quanqi Hu, Qihang Lin, Tianbao Yang, February 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Explainable Graph Learning for Particle Accelerator Operations
Song Wang, Chris Tennant, Jundong Li, February 2026
[openreview] [pdf] [bib] -
Robust Clustering using Gaussian Mixtures in the Presence of Cellwise Outliers
Pushpendra Rajpurohit, Petre Stoica, Prabhu babu, February 2026
[openreview] [pdf] [bib] -
Enhancing Deep Consistent Graph Metric with Affinity and Alignment for Incremental Social Event Detection using Cross-Layer Attention
Shraban Kumar Chatterjee, Shubham Gupta, Suman Kundu, February 2026
[openreview] [pdf] [bib] [code] -
Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks
Hanjiang Hu, Alexander Robey, Changliu Liu, February 2026
[openreview] [pdf] [bib] [code] -
Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models
Alberto Messina, Stefano Scotta, February 2026
[openreview] [pdf] [bib] [code] -
Density-Aware Farthest Point Sampling
Paolo Climaco, Jochen Garcke, February 2026
[openreview] [pdf] [bib] [code] -
Delta-Influence: Identifying Poisons via Influence Functions
Wenjie Li, Jiawei Li, Pengcheng Zeng, Christian Schroeder de Witt, Ameya Prabhu, Amartya Sanyal, February 2026
[openreview] [pdf] [bib] [code] -
A simple connection from loss flatness to compressed neural representations
Shirui Chen, Stefano Recanatesi, Eric Todd SheaBrown, February 2026
[openreview] [pdf] [bib] [code] -
When Does LoRA Reuse Work? Theoretical Limits and Mechanisms for Recycling LoRAs Without Data Access
Mei-Yen Chen, Thi Thu Uyen Hoang, Michael Hahn, M. Saquib Sarfraz, February 2026
[openreview] [pdf] [bib] -
DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving
Seungwoo Yoo, Juil Koo, Daehyeon Choi, Minhyuk Sung, February 2026
[openreview] [pdf] [bib] -
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling
Nicholas E. Corrado, Josiah P. Hanna, February 2026
[openreview] [pdf] [bib] -
A Survey on Federated Fine-Tuning of Large Language Models
Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, KaHou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-zhong Xu, February 2026
[openreview] [pdf] [bib]
Certifications: Survey -
A Survey of Token Compression for Efficient Multimodal Large Language Models
Kele Shao, Keda TAO, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang, February 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Understanding Guidance Scale in Diffusion Models from a Geometric Perspective
Zhiyuan Zhan, Liuzhuozheng Li, Masashi Sugiyama, February 2026
[openreview] [pdf] [bib] [code] -
Bayesian Network Structure Discovery Using Large Language Models
Yinghuan Zhang, Yufei Zhang, Parisa Kordjamshidi, Zijun Cui, February 2026
[openreview] [pdf] [bib] [code] -
Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment
Alif Ashrafee, Jędrzej Kozal, Michał Woźniak, Bartosz Krawczyk, February 2026
[openreview] [pdf] [bib] [code] -
Diffusion posterior sampling for simulation-based inference in tall data settings
Julia Linhart, Gabriel Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro L. C. Rodrigues, February 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond
Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz, February 2026
[openreview] [pdf] [bib] -
Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning
Lama Alssum, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Juan C Leon Alcazar, Bernard Ghanem, February 2026
[openreview] [pdf] [bib] -
Moment Constrained Optimal Transport for Control Applications
Thomas Le Corre, Ana Busic, Sean P. Meyn, February 2026
[openreview] [pdf] [bib] -
Concept Flow Models: Anchoring Concept-Based Reasoning with Hierarchical Bottlenecks
Ya Wang, Adrian Paschke, February 2026
[openreview] [pdf] [bib] -
Semantic-aware Adversarial Fine-tuning for CLIP
Jiacheng Zhang, Jinhao Li, Hanxun Huang, Sarah Monazam Erfani, Benjamin I. P. Rubinstein, Feng Liu, February 2026
[openreview] [pdf] [bib] [code] -
Byzantine-Robust Gossip: Insights from a Dual Approach
Renaud Gaucher, Hadrien Hendrikx, Aymeric Dieuleveut, February 2026
[openreview] [pdf] [bib] -
Learning to Defer with an Uncertain Rejector via Conformal Prediction
Yizirui Fang, Eric Nalisnick, February 2026
[openreview] [pdf] [bib] [code] -
CEPAE: Conditional Entropy-Penalized Autoencoders for Time Series Counterfactuals
Tomas Garriga, Gerard Sanz, Eduard Serrahima de Cambra, Axel Brando, February 2026
[openreview] [pdf] [bib] [code] -
Benchmarking Missing Data Imputation Methods in Socioeconomic Surveys
Siyi Sun, David Antony Selby, Yunchuan Huang, Ayush Patnaik, Sebastian Josef Vollmer, Seth Flaxman, Anisoara Calinescu, February 2026
[openreview] [pdf] [bib] [code] -
Implicit Probabilistic Reasoning Does Not Reflect Explicit Answers in Large Language Models
Manuel Mondal, Ljiljana Dolamic, Gérôme Bovet, Philippe Cudre-Mauroux, Julien Audiffren, February 2026
[openreview] [pdf] [bib] -
CARINOX: Inference-time Scaling with Category-Aware Reward-based Initial Noise Optimization and Exploration
Seyed Amir Kasaei, Ali Aghayari, Arash Marioriyad, Niki Sepasian, Shayan Baghayi Nejad, MohammadAmin Fazli, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, February 2026
[openreview] [pdf] [bib] [code] -
Steering Large Reasoning Models towards Concise Reasoning via Flow Matching
Yawei Li, Benjamin Bergner, Yinghan Zhao, Vihang Prakash Patil, Bei Chen, Cheng Wang, February 2026
[openreview] [pdf] [bib] -
The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why - A Survey from MARL to Emergent Language and LLMs
Jingdi Chen, Hanqing Yang, Zongjun Liu, Carlee Joe-Wong, February 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Weakly-Supervised Disentangled Representation Learning via Filter-Based Adaptive Swapping
Zhenyu Zong, Qidi Wang, Simon Yu, Hongpeng Cao, Yanbing Mao, Han Zhao, Lui Sha, Huajie Shao, February 2026
[openreview] [pdf] [bib] -
Graph Coarsening using Game Theoretic Approach
Sonali Raj, Manoj Kumar, Sumit Kumar, Ruchir Gupta, Amit Kumar Jaiswal, February 2026
[openreview] [pdf] [bib] -
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong, February 2026
[openreview] [pdf] [bib] [code] -
Clus-UCB: A Near-Optimal Algorithm for Clustered Bandits
Aakash Gore, Prasanna Chaporkar, February 2026
[openreview] [pdf] [bib] -
MetaSeal: Defending Against Image Attribution Forgery Through Content-Dependent Cryptographic Watermarks
Tong Zhou, Ruyi Ding, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Yunsi Fei, Xiaolin Xu, Shaolei Ren, February 2026
[openreview] [pdf] [bib] [code] -
Diversity Sampling Regularization for Multi-Domain Generalization
Lakpa Tamang, Mohamed Reda Bouadjenek, Sunil Aryal, Richard Dazeley, February 2026
[openreview] [pdf] [bib] [code] -
The Speed-up Factor: A Quantitative Multi-Iteration Active Learning Performance Metric
Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag, February 2026
[openreview] [pdf] [bib] -
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization
Gustav Wagner Zakarias, Lars Kai Hansen, Zheng-Hua Tan, February 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
The Internal Growth Function: A More General PAC Framework for Scenario Decision Making
Guillaume O Berger, Raphael Jungers, February 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Bootstrapping Task Spaces for Self-Improvement
Minqi Jiang, Andrei Lupu, Yoram Bachrach, February 2026
[openreview] [pdf] [bib] -
Segmentation From Attention: Training-Free Layer Selection and One-Shot Tuning for Segmentation in VLMs
Mir Rayat Imtiaz Hossain, Mennatullah Siam, Leonid Sigal, James J. Little, February 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Improving Detection of Rare Nodes in Hierarchical Multi-Label Learning
Isaac Xu, Martin Gillis, Ayushi Sharma, Benjamin Misiuk, Craig J. Brown, Thomas Trappenberg, February 2026
[openreview] [pdf] [bib] [code] -
An Efficient Subset Selection Strategy Using Text-Guided Data Attribution to Mitigate Simplicity Bias
Kumar Shubham, Pranav Sastry, Prathosh AP, February 2026
[openreview] [pdf] [bib] [code] -
QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design
Benjamin Schneider, Dongfu Jiang, Chao Du, Tianyu Pang, Wenhu Chen, February 2026
[openreview] [pdf] [bib] -
Large Language Model-based Data Science Agent: A Survey
Ke Chen, Peiran Wang, Yaoning Yu, Xianyang Zhan, Haohan Wang, February 2026
[openreview] [pdf] [bib] -
Model-Free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach
Han Wang, Leonardo Felipe Toso, Aritra Mitra, James Anderson, February 2026
[openreview] [pdf] [bib] [code] [video] -
Unlocking [CLS] Features for Continual Post-Training
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Joaquin Vanschoren, February 2026
[openreview] [pdf] [bib] [video] -
Relative Geometry of Neural Forecasters: Linking Accuracy and Alignment in Learned Latent Geometry
Deniz Kucukahmetler, Maximilian Jean Hemmann, Julian Mosig von Aehrenfeld, Maximilian Amthor, Christian Deubel, Nico Scherf, Diaaeldin Taha, February 2026
[openreview] [pdf] [bib] -
Hierarchical Time Series Forecasting with Robust Reconciliation
Shuhei Aikawa, Aru Suzuki, Kei Yoshitake, Kanata Teshigawara, Iwabuchi Akira, Ken Kobayashi, Kazuhide Nakata, February 2026
[openreview] [pdf] [bib] [code] -
Algorithms for the preordering problem and their application to the task of jointly clustering and ordering the accounts of a social network
Jannik Irmai, Maximilian Moeller, Bjoern Andres, February 2026
[openreview] [pdf] [bib] [code] -
Fast Graph Generation via Autoregressive Noisy Filtration Modeling
Markus Krimmel, Jenna Wiens, Karsten Borgwardt, Dexiong Chen, February 2026
[openreview] [pdf] [bib] [code] -
Are Time-Indexed Foundation Models the Future of Time Series Imputation?
Etienne Le Naour, Tahar Nabil, Adrien Petralia, Ghislain Agoua, February 2026
[openreview] [pdf] [bib] [code] -
T$^3$-S2S: Training-free Triplet Tuning for Sketch to Scene Synthesis in Controllable Concept Art Generation
Zhenhong Sun, Yifu Wang, Yonhon Ng, Yongzhi Xu, Daoyi Dong, Hongdong Li, Pan Ji, February 2026
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Provable Domain Adaptation for Offline Reinforcement Learning with Limited Samples
Weiqin Chen, Xinjie Zhang, Sandipan Mishra, Santiago Paternain, February 2026
[openreview] [pdf] [bib] -
Scalable physical source-to-field inference with hypernetworks
Berian James, Stefan Pollok, Ignacio Peis, Elizabeth Louise Baker, Jes Frellsen, Rasmus Bjørk, February 2026
[openreview] [pdf] [bib] [code] -
Let's Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language Models
Yuhao Sun, Chengyi Cai, Jiacheng Zhang, Zesheng Ye, Xingliang YUAN, Feng Liu, February 2026
[openreview] [pdf] [bib] [code] -
HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis
Francesco Di Salvo, Sebastian Doerrich, Jonas Alle, Christian Ledig, February 2026
[openreview] [pdf] [bib] [code] -
TextOCVP: Object-Centric Video Prediction with Language Guidance
Angel Villar-Corrales, Gjergj Plepi, Sven Behnke, February 2026
[openreview] [pdf] [bib] [code] [video] -
Achieving Faster than O(1/t) Convergence in General Convex Federated Learning
Jie Liu, Zuang Wang, Yongqiang Wang, February 2026
[openreview] [pdf] [bib] -
Detecting generalization deficits in large language and reasoning models by using natural variations in simple problems
Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, Jenia Jitsev, February 2026
[openreview] [pdf] [bib] [code] -
DiffCATS: Causally Associated Time-Series Generation through Diffusion Models
Giuseppe Masi, Andrea Coletta, Elizabeth Fons, Svitlana Vyetrenko, Novella Bartolini, February 2026
[openreview] [pdf] [bib] -
From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training
Julius Berner, Lorenz Richter, Marcin Sendera, Jarrid Rector-Brooks, Nikolay Malkin, February 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
One-Bit Distributed Mean Estimation with Unknown Variance
Ritesh Kumar, Shashank Vatedka, February 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
Deep Multimodal Learning with Missing Modality: A Survey
Renjie Wu, Hu Wang, Hsiang-Ting Chen, Gustavo Carneiro, February 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning
Tan-Ha Mai, Hsuan-Tien Lin, February 2026
[openreview] [pdf] [bib] -
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
Thierry Bossy, Julien Tuấn Tú Vignoud, Tahseen Rabbani, Juan R. Troncoso Pastoriza, Martin Jaggi, February 2026
[openreview] [pdf] [bib] [code] -
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
Md Abrar Jahin, Md Akmol Masud, Dr. M. F. Mridha, Nilanjan Dey, Zeyar Aung, February 2026
[openreview] [pdf] [bib] [code] -
AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective
Zhenyi Wang, Siyu Luan, February 2026
[openreview] [pdf] [bib] -
Parameter Efficient Continual Learning with Dynamic Low- Rank Adaptation
Prashant Shivaram Bhat, Shakib Yazdani, Elahe Arani, Bahram Zonooz, February 2026
[openreview] [pdf] [bib] -
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F Jaeger, Klaus Maier-Hein, Fabian Isensee, February 2026
[openreview] [pdf] [bib] [code] -
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
Pranav Vaidhyanathan, Aristotelis Papatheodorou, Mark T. Mitchison, Natalia Ares, Ioannis Havoutis, February 2026
[openreview] [pdf] [bib] -
Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs
Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang, February 2026
[openreview] [pdf] [bib] [code] -
The Transformer Cookbook
Andy Yang, Christopher Watson, Anton Xue, Satwik Bhattamishra, Jose Llarena, William Merrill, Emile Dos Santos Ferreira, Anej Svete, David Chiang, February 2026
[openreview] [pdf] [bib] [code] -
On the impact of the parametrization of deep convolutional neural networks on post-training quantization
Samy Houache, Jean-François Aujol, Yann Traonmilin, February 2026
[openreview] [pdf] [bib] -
Decoding Generalization from Memorization in Deep Neural Networks
Simran Ketha, Venkatakrishnan Ramaswamy, February 2026
[openreview] [pdf] [bib] [code] -
Toward Efficient Influence Function: Dropout as a Compression Tool
Yuchen Zhang, Mohammad Mohammadi Amiri, February 2026
[openreview] [pdf] [bib] -
Grounding Generative Evaluations of Language Models in Unsupervised Document Corpora
Michael Majurski, Cynthia Matuszek, February 2026
[openreview] [pdf] [bib] [code] -
ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning
Bairu Hou, Yang Zhang, Jiabao Ji, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, February 2026
[openreview] [pdf] [bib] [code] -
Causal Decoding for Hallucination-Resistant Multimodal Large Language Models
Shiwei Tan, Hengyi Wang, Weiyi Qin, Qi Xu, Zhigang Hua, Hao Wang, February 2026
[openreview] [pdf] [bib] -
Improving Detection of Watermarked Language Models
Dara Bahri, John Frederick Wieting, February 2026
[openreview] [pdf] [bib] -
SocialFusion: Addressing Social Degradation in Pre-trained Vision-Language Models
Hamza Tahboub, Weiyan Shi, Gang Hua, Huaizu Jiang, February 2026
[openreview] [pdf] [bib] -
Adapting Language Models to Produce Good Class Probabilities for Classification Tasks
Lautaro Estienne, Matias Vera, Elizabeth Fons, Elena Kochkina, Pablo Piantanida, Luciana Ferrer, February 2026
[openreview] [pdf] [bib] [code] -
Scaling Gaussian Process Regression with Full Derivative Observations
Daniel Huang, January 2026
[openreview] [pdf] [bib] [code] -
Retrospective Feature Estimation for Continual Learning
Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D Doan, January 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: Featured J2C -
Theoretically Understanding Data Reconstruction Leakage in Federated Learning
Binghui Zhang, Zifan Wang, Meng Pang, Yuan Hong, Binghui Wang, January 2026
[openreview] [pdf] [bib] -
$$\texttt{C2-DPO}$$: Constrained Controlled Direct Preference Optimization
Kavosh Asadi, Xingzi Xu, Julien Han, Ege Beyazit, Idan Pipano, Dominique Perrault-Joncas, Shoham Sabach, Mohammad Ghavamzadeh, Karim Bouyarmane, January 2026
[openreview] [pdf] [bib] -
Explaining with trees: interpreting CNNs using hierarchies
Caroline Mazini Rodrigues, Nicolas Boutry, Laurent Najman, January 2026
[openreview] [pdf] [bib] [code] [video] -
SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation
Shrikant Kendre, Austin Xu, Honglu Zhou, Michael S Ryoo, Shafiq Joty, Juan Carlos Niebles, January 2026
[openreview] [pdf] [bib] [code] -
CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions
Kung-Hsiang Huang, Akshara Prabhakar, Onkar Thorat, Divyansh Agarwal, Prafulla Kumar Choubey, Yixin Mao, Silvio Savarese, Caiming Xiong, Chien-Sheng Wu, January 2026
[openreview] [pdf] [bib] -
Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention
Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky, January 2026
[openreview] [pdf] [bib] -
Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
Rémi Kazmierczak, Steve Azzolin, Goran Frehse, Eloïse Berthier, Gianni Franchi, January 2026
[openreview] [pdf] [bib] -
Random Projection-Induced Gaussian Latent Features for Arbitrary Style Transfer
Weizhi Lu, Zhongzheng Li, Dongchen Gao, Mingrui Chen, Weiyu Li, jinglin zhang, Wei Zhang, January 2026
[openreview] [pdf] [bib] [code] -
Privacy Profiles Under Tradeoff Composition
Paul Glasserman, January 2026
[openreview] [pdf] [bib] -
Efficient Dilated Squeeze and Excitation Neural Operator for Differential Equations
Prajwal Chauhan, Salah Eddine Choutri, Saif Jabari, January 2026
[openreview] [pdf] [bib] [code] -
How Well Can Preference Optimization Generalize Under Noisy Feedback?
Shawn Im, Yixuan Li, January 2026
[openreview] [pdf] [bib] -
KITTEN: A Knowledge-Integrated Evaluation of Image Generation on Visual Entities
Hsin-Ping Huang, Xinyi Wang, Yonatan Bitton, Hagai Taitelbaum, Gaurav Singh Tomar, Ming-Wei Chang, Xuhui Jia, Kelvin C.K. Chan, Hexiang Hu, Yu-Chuan Su, Ming-Hsuan Yang, January 2026
[openreview] [pdf] [bib] [code] [video] -
Algorithmic Recourse in Abnormal Multivariate Time Series
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan, January 2026
[openreview] [pdf] [bib] [code] -
Constant Rate Scheduling: A General Framework for Optimizing Diffusion Noise Schedule via Distributional Change
Shuntaro Okada, Kenji Doi, Ryota Yoshihashi, Hirokatsu Kataoka, Tomohiro Tanaka, January 2026
[openreview] [pdf] [bib] -
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
Takahiro Maeda, Jinkun Cao, Norimichi Ukita, Kris Kitani, January 2026
[openreview] [pdf] [bib] -
ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer
Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun, January 2026
[openreview] [pdf] [bib] [code] -
\textsc{PGO-BEN}: Proxy-Guided Orthogonalization and Beta Ensembling for Few-Shot Domain-Incremental Learning
Samrat Mukherjee, Thivyanth Venkateswaran, Eric Nuertey Coleman, Luigi Quarantiello, Julio Hurtado, Vincenzo Lomonaco, Gemma Roig, Subhasis Chaudhuri, Biplab Banerjee, January 2026
[openreview] [pdf] [bib] [code] -
Differentially Private Conformal Prediction via Quantile Binary Search
Ogonnaya Michael Romanus, Roberto Molinari, January 2026
[openreview] [pdf] [bib] [code] -
Dealing with Uncertainty in Contextual Anomaly Detection
Luca Bindini, Lorenzo Perini, Stefano Nistri, Jesse Davis, Paolo Frasconi, January 2026
[openreview] [pdf] [bib] [code] -
On Uncertainty Calibration for Equivariant Functions
Edward Berman, Jacob Ginesin, Marco Pacini, Robin Walters, January 2026
[openreview] [pdf] [bib] -
Disentangled Concept-Residual Models: Bridging the Interpretability–Performance Gap for Incomplete Concept Sets
Renos Zabounidis, Ini Oguntola, Konghao Zhao, Joseph Campbell, Woojun Kim, Simon Stepputtis, Katia P. Sycara, January 2026
[openreview] [pdf] [bib] [code] -
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence
Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Qihan Ren, Yiran Wu, Hongru WANG, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang, January 2026
[openreview] [pdf] [bib]
Certifications: Survey -
On the (linear) convergence of Generalized Newton Inexact ADMM
Zachary Frangella, Theo Diamandis, Bartolomeo Stellato, Madeleine Udell, January 2026
[openreview] [pdf] [bib] [code] -
Video Prediction Transformers without Recurrence or Convolution
Yujin Tang, Lu Qi, Xiangtai Li, Chao Ma, Ming-Hsuan Yang, January 2026
[openreview] [pdf] [bib] [code] -
Prescribe-then-Select: Adaptive Policy Selection for Contextual Stochastic Optimization
Caio de Próspero Iglesias, Kimberly Villalobos Carballo, Dimitris Bertsimas, January 2026
[openreview] [pdf] [bib] [code] -
Language Models are Symbolic Learners in Arithmetic
Chunyuan Deng, Zhiqi Li, Roy Xie, Ruidi Chang, Hanjie Chen, January 2026
[openreview] [pdf] [bib] [code] -
High-Layer Attention Pruning with Rescaling
Songtao Liu, Peng Liu, January 2026
[openreview] [pdf] [bib] [code] -
Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction
Ankitkumar Joshi, Milos Hauskrecht, January 2026
[openreview] [pdf] [bib] [code] -
Robust Conformal Prediction for Infrequent Classes
Jens-Michalis Papaioannou, Sebastian Jäger, Alexei Figueroa, David Stutz, Betty van Aken, Keno Bressem, Wolfgang Nejdl, Felix Gers, Alexander Löser, Felix Biessmann, January 2026
[openreview] [pdf] [bib] -
LZ Penalty: An information-theoretic repetition penalty for autoregressive language models.
Tony A Ginart, Naveen Kodali, Jason Lee, Caiming Xiong, Silvio Savarese, John Emmons, January 2026
[openreview] [pdf] [bib] -
Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess
Zhenwei Tang, Difan Jiao, Eric Xue, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson, January 2026
[openreview] [pdf] [bib] [code] -
Classification of high-dimensional data with spiked covariance matrix structure
Yin-Jen Chen, Minh Tang, January 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes
Daniel Waxman, Fernando Llorente, Petar Djuric, January 2026
[openreview] [pdf] [bib] [code] -
Unifying VXAI: A Systematic Review and Framework for the Evaluation of Explainable AI
David Dembinsky, Adriano Lucieri, Stanislav Frolov, Hiba Najjar, Ko Watanabe, Andreas Dengel, January 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Natural Policy Gradient for Average Reward Non-Stationary Reinforcement Learning
Neharika Jali, Eshika Pathak, Pranay Sharma, Guannan Qu, Gauri Joshi, January 2026
[openreview] [pdf] [bib] -
Augmented Vision-Language Models: A Systematic Review
Anthony C Davis, Burhan A. Sadiq, Tianmin Shu, Chien-Ming Huang, January 2026
[openreview] [pdf] [bib]
Certifications: Survey -
Domain Translation with Monolingual Lexical Distribution
Yusuke Sakai, Zhi Qu, Hidetaka Kamigaito, Taro Watanabe, Xiaojiang Liu, January 2026
[openreview] [pdf] [bib] [code] -
Order from Chaos: Physical World Understanding from Glitchy Gameplay Videos
Meng Cao, Haoran Tang, Haoze Zhao, Mingfei Han, Ruyang Liu, Qiang Sun, Xiaojun Chang, Ian Reid, Xiaodan Liang, January 2026
[openreview] [pdf] [bib] -
Generative Causal Structure Learning with Dual Latent Spaces and Annealing
Soma Bandyopadhyay, Sudeshna Sarkar, January 2026
[openreview] [pdf] [bib] [code] -
Learning and Transferring Physical Models through Derivatives
Alessandro Trenta, Andrea Cossu, Davide Bacciu, January 2026
[openreview] [pdf] [bib] [code] [video] -
Template-Based Probes Are Imperfect Lenses for Counterfactual Bias Evaluation in LLMs
Farnaz Kohankhaki, D. B. Emerson, Jacob-Junqi Tian, Laleh Seyyed-Kalantari, Faiza Khan Khattak, January 2026
[openreview] [pdf] [bib] [code] -
Learning from Online Videos at Inference Time for Computer-Use Agents
Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang, January 2026
[openreview] [pdf] [bib] [code] -
Auditing Predictive Models for Intersectional Biases
Kate Boxer, Edward McFowland III, Daniel B. Neill, January 2026
[openreview] [pdf] [bib]
Certifications: J2C -
StFT: Spatio-temporal Fourier Transformer for Long-term Dynamics Prediction
Da Long, Shandian Zhe, Samuel Williams, Leonid Oliker, Zhe Bai, January 2026
[openreview] [pdf] [bib] [code] -
Better Language Models Exhibit Higher Visual Alignment
Jona Ruthardt, Gertjan J. Burghouts, Serge Belongie, Yuki M Asano, January 2026
[openreview] [pdf] [bib] [code] -
The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning
Johanna S. Fröhlich, Bastian Heinlein, Jan U. Claar, Hans Rosenberger, Vasileios Belagiannis, Ralf R. Müller, January 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
A Concept-Centric Approach to Multi-Modality Learning
Yuchong Geng, Ao Tang, January 2026
[openreview] [pdf] [bib] [code] -
Teaching Invariance Using Privileged Mediation Information
Dylan Zapzalka, Maggie Makar, January 2026
[openreview] [pdf] [bib] [code] -
Sublinear Algorithms for Estimating Wasserstein and TV Distances: Applications to Fairness and Privacy Auditing
Debabrota Basu, Debarshi Chanda, January 2026
[openreview] [pdf] [bib] -
From Words To Rewards: Leveraging Natural Language For Reinforcement Learning
Belen Martin Urcelay, Andreas Krause, Giorgia Ramponi, January 2026
[openreview] [pdf] [bib] [code] -
VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models
Ce Zhang, Kaixin Ma, Tianqing Fang, Wenhao Yu, Hongming Zhang, Zhisong Zhang, Haitao Mi, Dong Yu, January 2026
[openreview] [pdf] [bib] [code] -
Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
Keru Chen, Honghao Wei, Zhigang Deng, Sen Lin, January 2026
[openreview] [pdf] [bib] [code] -
Game-Theoretic Defenses for Adversarially Robust Conformal Prediction
Rui Luo, Jie Bao, Suqun Cao, Chuangyin Dang, Zhixin Zhou, January 2026
[openreview] [pdf] [bib] [code] -
Bi-level Hierarchical Neural Contextual Bandits for Online Recommendation
Yunzhe Qi, Yao Zhou, Yikun Ban, Allan Stewart, Chuanwei Ruan, Jiachuan He, Shishir Kumar Prasad, Haixun Wang, Jingrui He, January 2026
[openreview] [pdf] [bib]
Certifications: J2C -
Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship
Nang Hung Nguyen, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang, Masashi Sugiyama, January 2026
[openreview] [pdf] [bib] [code] -
Accounting for Missing Covariates in Heterogeneous Treatment Estimation
Khurram Yamin, Vibhhu Sharma, Edward Kennedy, Bryan Wilder, January 2026
[openreview] [pdf] [bib] -
Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity
Pushkar Mishra, Charvi Rastogi, Stephen R Pfohl, Alicia Parrish, Tian Huey Teh, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser, January 2026
[openreview] [pdf] [bib] -
SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba
Yulong Huang, Jianxiong Tang, Chao Wang, Ziyi Wang, Jianguo Zhang, Zhichao Lu, Bojun Cheng, Luziwei Leng, January 2026
[openreview] [pdf] [bib] -
A Unified Framework for Tabular Generative Modeling: Loss Functions, Benchmarks, and Improved Multi-objective Bayesian Optimization Approaches
Minh Hoang Vu, Daniel Edler, Carl Wibom, Tommy Löfstedt, Beatrice Melin, Martin Rosvall, January 2026
[openreview] [pdf] [bib] [code] -
Budget-Optimized Crowdworker Allocation
Sha Lai, Prakash Ishwar, Margrit Betke, January 2026
[openreview] [pdf] [bib] -
GraphGini: Fostering Individual and Group Fairness in Graph Neural Networks
Anuj Kumar Sirohi, Anjali Gupta, Sandeep Kumar, Amitabha Bagchi, Sayan Ranu, January 2026
[openreview] [pdf] [bib] [code] [video] -
DREAMS: Preserving both Local and Global Structure in Dimensionality Reduction
Noël Kury, Dmitry Kobak, Sebastian Damrich, January 2026
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
ThinkEval: Practical Evaluation of Knowledge Leakage in LLM Editing using Thought-based Knowledge Graphs
Manit Baser, Dinil Mon Divakaran, Mohan Gurusamy, January 2026
[openreview] [pdf] [bib] [code] -
Cost-Free Personalization via Information-Geometric Projection in Bayesian Federated Learning
Nour Jamoussi, Giuseppe Serra, Photios A. Stavrou, Marios Kountouris, January 2026
[openreview] [pdf] [bib] [code] -
Batch Entanglement Detection in Parameterized Qubit States using Classical Bandit Algorithms
K. Bharati, Vikesh Siddhu, Krishna Jagannathan, January 2026
[openreview] [pdf] [bib] -
Adapting Vision Transformers to Ultra-High Resolution Semantic Segmentation with Relay Tokens
Yohann PERRON, Vladyslav Sydorov, Christophe Pottier, Loic Landrieu, January 2026
[openreview] [pdf] [bib] [code] -
Incomplete Tasks Induce Shutdown Resistance in Some Frontier LLMs
Jeremy Schlatter, Benjamin Weinstein-Raun, Jeffrey Ladish, January 2026
[openreview] [pdf] [bib] [code] -
Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
Nikita Dhawan, Daniel Shen, Leonardo Cotta, Chris J. Maddison, January 2026
[openreview] [pdf] [bib] -
Mitigating Steady-State Bias in Off-Policy TD Learning via Distributional Correction
Emani Naga Sai Venkata Sowmya, Amit Kesari, Ajin George Joseph, January 2026
[openreview] [pdf] [bib] -
A Distributed Generative AI Approach for Heterogeneous Multi-Domain Environments under Data Sharing constraints
Youssef Tawfilis, Hossam Amer, Minar El-Aasser, Tallal Elshabrawy, January 2026
[openreview] [pdf] [bib] [code] -
mSOP-765k: A Benchmark For Multi-Modal Structured Output Predictions
Bianca Lamm, Janis Keuper, January 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
Brown Ebouky, Ajad Chhatkuli, A. Cristiano I. Malossi, Christoph Studer, Roy Assaf, Andrea Bartezzaghi, January 2026
[openreview] [pdf] [bib] -
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models
Stefania Scheurer, Philipp Reiser, Tim Brünnette, Wolfgang Nowak, Anneli Guthke, Paul-Christian Bürkner, January 2026
[openreview] [pdf] [bib] [code] -
Generalization Bound for a Shallow Transformer Trained Using Gradient Descent
Brian Mwigo, Anirban Dasgupta, January 2026
[openreview] [pdf] [bib] -
Mechanism-Aware Prediction of Tissue-Specific Drug Activity via Multi-Modal Biological Graphs
Sally Turutov, Kira Radinsky, January 2026
[openreview] [pdf] [bib] [code] -
AC$\oplus$DC search: behind the winning solution to the FlyWire graph-matching challenge
Daniel Lee, Arie Matsliah, Lawrence K. Saul, January 2026
[openreview] [pdf] [bib] -
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction
Yadi Cao, Yuxuan Liu, Liu Yang, Rose Yu, Hayden Schaeffer, Stanley Osher, January 2026
[openreview] [pdf] [bib] [code] -
The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs
Jierun Chen, Tiezheng YU, Haoli Bai, Lewei Yao, Jiannan Wu, Kaican Li, Fei Mi, Chaofan Tao, Lei Zhu, Manyi Zhang, Xiao-Hui Li, Lu Hou, Lifeng Shang, Qun Liu, January 2026
[openreview] [pdf] [bib] [code] -
Learning object representations through amortized inference over probabilistic programs
Francisco Silva, Hélder P. Oliveira, Tania Pereira, January 2026
[openreview] [pdf] [bib] -
On the Importance of Pretraining Data Alignment for Atomic Property Prediction
Yasir M. Ghunaim, Hasan Abed Al Kader Hammoud, Bernard Ghanem, January 2026
[openreview] [pdf] [bib] [code] -
RLHF in an SFT Way: From Optimal Solution to Reward-Weighted Alignment
Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao XIE, Xiang Wan, Anningzhe Gao, January 2026
[openreview] [pdf] [bib] [code] -
ReVision: Refining Video Diffusion with Explicit 3D Motion Modeling
Qihao Liu, Ju He, Qihang Yu, Liang-Chieh Chen, Alan Yuille, January 2026
[openreview] [pdf] [bib] -
Characterizing Evolution in Expectation-Maximization Estimates for Overspecified Mixed Linear Regression
Zhankun Luo, Abolfazl Hashemi, January 2026
[openreview] [pdf] [bib] [code] -
Softmax is $1/2$-Lipschitz: A tight bound across all $\ell_p$ norms
Pravin Nair, January 2026
[openreview] [pdf] [bib] [code] -
Hypergraph clustering using Ricci curvature: an edge transport perspective
Olympio Hacquard, January 2026
[openreview] [pdf] [bib] [code] -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhong-Zhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Francisco Piedrahita Velez, Yue Liao, Hongru WANG, Mengyue Yang, Heng Ji, Jun Wang, Shuicheng YAN, Philip Torr, LEI BAI, January 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
RT2I-Bench: Evaluating Robustness of Text-to-Image Systems Against Adversarial Attacks
Athanasios Glentis, Ioannis Tsaknakis, Jiangweizhi Peng, Xun Xian, Yihua Zhang, Gaowen Liu, Charles Fleming, Mingyi Hong, January 2026
[openreview] [pdf] [bib] -
Large Language Model Reasoning Failures
Peiyang Song, Pengrui Han, Noah Goodman, January 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
Robin Hesse, Doğukan Bağcı, Bernt Schiele, Simone Schaub-Meyer, Stefan Roth, January 2026
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C -
Supervised score aggregation for active anomaly detection
Kevin Bleakley, Mouhcine Mendil, Martin Royer, Benjamin Auder, January 2026
[openreview] [pdf] [bib] [code] -
ASMa: Asymmetric Spatio-temporal Masking for Skeleton Action Representation Learning
Aman Anand, Amir Eskandari, Elyas Rashno, Farhana Zulkernine, January 2026
[openreview] [pdf] [bib] [code] -
BenchOverflow: Measuring Overflow in Large Language Models via Plain-Text Prompts
Erin Feiglin, Nir Hutnik, Raz Lapid, January 2026
[openreview] [pdf] [bib] -
PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors
Brian Bernhard Moser, Shalini Sarode, Federico Raue, Stanislav Frolov, Krzysztof Adamkiewicz, Arundhati Shanbhag, Joachim Folz, Tobias Christian Nauen, Andreas Dengel, January 2026
[openreview] [pdf] [bib] [code] -
On a Gradient Approach to Chebyshev Center Problems with Applications to Function Learning
Abhinav Raghuvanshi, Mayank Baranwal, Debasish Chatterjee, January 2026
[openreview] [pdf] [bib] [video] -
SiLVR: A Simple Language-based Video Reasoning Framework
Ce Zhang, Yan-Bo Lin, Ziyang Wang, Mohit Bansal, Gedas Bertasius, January 2026
[openreview] [pdf] [bib] [code] -
Nonlinear reconciliation: Error reduction theorems
Lorenzo Nespoli, Anubhab Biswas, Roberto Rocchetta, Vasco Medici, January 2026
[openreview] [pdf] [bib] [code] -
Beyond Affinity: A Benchmark of 1D, 2D, and 3D Methods Reveals Critical Trade-offs in Structure-Based Drug Design
Kangyu Zheng, Kai Zhang, Jiale Tan, Xuehan Chen, Yingzhou Lu, ZAIXI ZHANG, Lichao Sun, Marinka Zitnik, Tianfan Fu, Zhiding Liang, January 2026
[openreview] [pdf] [bib] -
One-Sided Matrix Completion from Ultra-Sparse Samples
Hongyang R. Zhang, Zhenshuo Zhang, Huy Nguyen, Guanghui Lan, January 2026
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C -
AC-PKAN: Attention-Enhanced and Chebyshev Polynomial-Based Physics-Informed Kolmogorov–Arnold Networks
Hangwei Zhang, Zhimu Huang, Yan Wang, January 2026
[openreview] [pdf] [bib] -
COLT: Enhancing Video Large Language Models with Continual Tool Usage
Yuyang Liu, Meng Cao, Xinyuan Shi, Xiaodan Liang, January 2026
[openreview] [pdf] [bib] -
Calibration Enhanced Decision Maker: Towards Trustworthy Sequential Decision-Making with Large Sequence Models
Haoyuan Sun, Bo Xia, Yifu Luo, Tiantian Zhang, Xueqian Wang, January 2026
[openreview] [pdf] [bib] -
Symmetry in Neural Network Parameter Spaces
Bo Zhao, Robin Walters, Rose Yu, January 2026
[openreview] [pdf] [bib] -
Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
Guanquan Wang, Takuya Hiraoka, Yoshimasa Tsuruoka, January 2026
[openreview] [pdf] [bib] -
Estimating Expected Calibration Error for Positive-Unlabeled Learning
Ryuichi Kiryo, Futoshi Futami, Masashi Sugiyama, January 2026
[openreview] [pdf] [bib] -
DeepSeek-R1 Thoughtology: Let’s think about LLM reasoning
Sara Vera Marjanovic, Arkil Patel, Vaibhav Adlakha, Milad Aghajohari, Parishad BehnamGhader, Mehar Bhatia, Aditi Khandelwal, Austin Kraft, Benno Krojer, Xing Han Lù, Nicholas Meade, Dongchan Shin, Amirhossein Kazemnejad, Gaurav Kamath, Marius Mosbach, Karolina Stanczak, Siva Reddy, January 2026
[openreview] [pdf] [bib] [code] -
Training-Conditional Coverage Bounds under Covariate Shift
Mehrdad Pournaderi, Yu Xiang, January 2026
[openreview] [pdf] [bib]
Certifications: Featured J2C -
There are no Champions in Supervised Long-Term Time Series Forecasting
Lorenzo Brigato, Rafael Morand, Knut Joar Strømmen, Maria Panagiotou, Markus Schmidt, Stavroula Mougiakakou, January 2026
[openreview] [pdf] [bib] [code] -
Extracting and Following Paths for Robust Relational Reasoning with Large Language Models
Ge Zhang, Mohammad Ali Alomrani, Hongjian Gu, Jiaming Zhou, Yaochen Hu, Bin Wang, Qun Liu, Mark Coates, Yingxue Zhang, Jianye HAO, January 2026
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning
Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey Plis, January 2026
[openreview] [pdf] [bib] [code] -
Investigating a Model-Agnostic and Imputation-Free Approach for Irregularly-Sampled Multivariate Time-Series Modeling
Abhilash Neog, Arka Daw, Sepideh Fatemi, Medha Sawhney, Aanish Pradhan, Mary E. Lofton, Bennett J. McAfee, Adrienne Breef-Pilz, Heather L. Wander, Dexter W Howard, Cayelan C. Carey, Paul Hanson, Anuj Karpatne, January 2026
[openreview] [pdf] [bib] [code] -
InfGraND: An Influence-Guided GNN-to-MLP Knowledge Distillation
Amir Eskandari, Aman Anand, Elyas Rashno, Farhana Zulkernine, January 2026
[openreview] [pdf] [bib] [code] -
TRecViT: A Recurrent Video Transformer
Viorica Patraucean, Xu Owen He, Joseph Heyward, Chuhan Zhang, Mehdi S. M. Sajjadi, George-Cristian Muraru, Artem Zholus, Mahdi Karami, Ross Goroshin, Yutian Chen, Simon Osindero, Joao Carreira, Razvan Pascanu, January 2026
[openreview] [pdf] [bib] [code] -
Subspace based Federated Unlearning
Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao, January 2026
[openreview] [pdf] [bib] -
Uncovering the Computational Roles of Nonlinearity in Sequence Modeling Using Almost-Linear RNNs
Manuel Brenner, Georgia Koppe, January 2026
[openreview] [pdf] [bib] [code] [video] -
Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann, January 2026
[openreview] [pdf] [bib] -
Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions
Anastasios Manganaris, Vittorio Giammarino, Ahmed H Qureshi, Suresh Jagannathan, January 2026
[openreview] [pdf] [bib] -
Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment
Joanna Hong, Sanjeel Parekh, Honglie Chen, Jacob Donley, Ke Tan, Buye Xu, Anurag Kumar, January 2026
[openreview] [pdf] [bib] -
CAPE: Generalized Convergence Prediction Across Architectures Without Full Training
Alireza Pourali, Arian Boukani, Hamzeh Khazaei, January 2026
[openreview] [pdf] [bib] -
Enhancing Semi-supervised Learning with Zero-shot Pseudolabels
Jichan Chung, Irene Y. Chen, January 2026
[openreview] [pdf] [bib] [code] -
GGFlow: A Graph Flow Matching Method with Efficient Optimal Transport
Xiaoyang Hou, Tian Zhu, Milong Ren, Dongbo Bu, Xin Gao, Chunming Zhang, Shiwei Sun, January 2026
[openreview] [pdf] [bib] [code] -
Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching
Junho Lee, Kwanseok Kim, Joonseok Lee, January 2026
[openreview] [pdf] [bib] [code] [video] -
BrowserAgent: Building Web Agents with Human-Inspired Web Browsing Actions
Tao Yu, Zhengbo Zhang, Zhiheng Lyu, Junhao Gong, Hongzhu Yi, Xinming Wang, Yuxuan Zhou, Jiabing Yang, Ping Nie, Yan Huang, Wenhu Chen, January 2026
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility J2C -
Leveraging the True Depth of LLMs
Ramón Calvo González, Daniele Paliotta, Matteo Pagliardini, Martin Jaggi, François Fleuret, January 2026
[openreview] [pdf] [bib] -
An analysis of distributional reinforcement learning with Gaussian mixtures
Mathis Antonetti, Henrique Donancio, Florence Forbes, January 2026
[openreview] [pdf] [bib] [code] -
CADmium: Fine-Tuning Code Language Models for Text- Driven Sequential CAD Design
Prashant Govindarajan, Davide Baldelli, Jay Pathak, Quentin Fournier, Sarath Chandar, January 2026
[openreview] [pdf] [bib] [code] [video] -
Beyond Expectations: Learning with Stochastic Dominance Made Practical
Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai, January 2026
[openreview] [pdf] [bib] -
Fast weight programming and linear transformers: from machine learning to neurobiology
Kazuki Irie, Samuel J. Gershman, January 2026
[openreview] [pdf] [bib]
Certifications: Survey -
TabRep: Training Tabular Diffusion Models with a Simple and Effective Continuous Representation
Jacob Si, Zijing Ou, Mike Qu, Zhengrui Xiang, Yingzhen Li, January 2026
[openreview] [pdf] [bib] [code] -
The Geometry of Algorithmic Stability: A Hodge Theoretic View on Structural vs. Statistical Instability
Karen Sargsyan, January 2026
[openreview] [pdf] [bib] -
Vejde: A Framework for Inductive Deep Reinforcement Learning Based on Factor Graph Color Refinement
Jakob Nyberg, Pontus Johnson, January 2026
[openreview] [pdf] [bib] [code] [video] -
Adversarial Vulnerability from On-Manifold Inseparability and Poor Off-Manifold Convergence
Rajdeep Haldar, Yue Xing, Qifan Song, Guang Lin, January 2026
[openreview] [pdf] [bib] [code] -
ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning
Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zheng Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Jie Xu, Yen-Chang Hsu, January 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C -
StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs
Jialin Yang, Dongfu Jiang, Tony He, Sherman Siu, Yuxuan Zhang, Disen Liao, Zhuofeng Li, Huaye Zeng, Yiming Jia, Haozhe Wang, Benjamin Schneider, Chi Ruan, Wentao Ma, Zhiheng Lyu, Yifei Wang, Yi Lu, Quy Duc Do, Ziyan Jiang, Ping Nie, Wenhu Chen, January 2026
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
DuFal: Dual-Frequency-Aware Learning for High-Fidelity Extremely Sparse-view CBCT Reconstruction
Cuong Tran Van, Trong-Thang Pham, Ngoc-Son Nguyen, Duy Minh Ho Nguyen, Ngan Le, January 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
Eyes on the Road, Words in the Changing Skies: Vision-Language Assistance for Autonomous Driving in Transitional Weather
Madhavi Kondapally, K Naveen Kumar, C Krishna Mohan, January 2026
[openreview] [pdf] [bib] -
Achieving Global Flatness in Decentralized Learning with Heterogeneous Data
Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy, January 2026
[openreview] [pdf] [bib] [code] -
Offline Model-Based Optimization: Comprehensive Review
Minsu Kim, Jiayao Gu, Ye Yuan, Taeyoung Yun, Zixuan Liu, Yoshua Bengio, Can Chen, January 2026
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Towards Fair In-Context Learning with Tabular Foundation Models
Patrik Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji, January 2026
[openreview] [pdf] [bib] [code] -
Multi-Step Alignment as Markov Games: An Optimistic Online Mirror Descent Approach with Convergence Guarantees
Yongtao Wu, Luca Viano, Kimon Antonakopoulos, Yihang Chen, Zhenyu Zhu, Quanquan Gu, Volkan Cevher, January 2026
[openreview] [pdf] [bib] -
Training More Robust Classification Model via Discriminative Loss and Gaussian Noise Injection
Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda CHHAIBI, Serge Gratton, Thierry Giaccone, January 2026
[openreview] [pdf] [bib] -
Synergistic Benefits of Joint Molecule Generation and Property Prediction
Adam Izdebski, Jan Olszewski, Pankhil Gawade, Krzysztof Koras, Serra Korkmaz, Valentin Rauscher, Jakub M. Tomczak, Ewa Szczurek, January 2026
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity
Tengyuan Liang, Kulunu Dharmakeerthi, Takuya Koriyama, January 2026
[openreview] [pdf] [bib]
Certifications: J2C -
PredLDM: Spatiotemporal Sequence Prediction with Latent Diffusion Models
Yechao Xu, Zhengxing Sun, Qian Li, Jiao Qu, January 2026
[openreview] [pdf] [bib] [code] [video] -
iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency
Yunusa Haruna, Adamu Lawan, Abdulganiyu Abdu Yusuf, January 2026
[openreview] [pdf] [bib] [code] [video] -
ULTra: Unveiling Latent Token Interpretability in Transformer-Based Understanding and Segmentation
Hesam Hosseini, Ghazal Hosseini Mighan, Amirabbas Afzali, Sajjad Amini, Amir Houmansadr, January 2026
[openreview] [pdf] [bib] [code] -
Overcoming Open-Set Approaches to Adversarial Defense
Edgar Wilfred Jatho, Armon Barton, Matthew Wright, Patrick McClure, January 2026
[openreview] [pdf] [bib] -
Communication-Efficient Federated AUC Maximization with Cyclic Client Participation
Umesh-Vangapally, Wenhan Wu, Chen Chen, Zhishuai Guo, January 2026
[openreview] [pdf] [bib] -
On Calibration of Multilingual Question Answering LLMs
Yahan Yang, Soham Dan, Dan Roth, Insup Lee, January 2026
[openreview] [pdf] [bib] [code] -
Federated Multimodal Fusion for Action Recognition Leveraging Vision-Language Embeddings and Spatio- Temporal CNNs
Aditi Palit, Kalidas Yeturu, January 2026
[openreview] [pdf] [bib] -
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
Feng Zhu, Aritra Mitra, Robert W. Heath, January 2026
[openreview] [pdf] [bib] -
CRoPS: A Training-Free Hallucination Mitigation Framework for Vision-Language Models
Neeraj Anand, Samyak Jha, Udbhav Bamba, Rahul Rahaman, January 2026
[openreview] [pdf] [bib] -
Improving Foundation Model Group Robustness with Auxiliary Sentence Embeddings
Sisuo Lyu, Hong Liu, Jie Li, Yan Teng, Yingchun Wang, January 2026
[openreview] [pdf] [bib] [code] -
Noise-Aware Adaptation of Pre-trained Foundation Models for Single-photon Image Classification
Ziting Wen, Wenle Dong, Zili Zhang, Yiheng Qiang, KEMI DING, Xiaoqiang Ren, January 2026
[openreview] [pdf] [bib] [code] [video] -
Proper Orthogonal Decomposition for Scalable Training of Graph Neural Networks
Abhishek A, Manohar Kaul, Mohit Meena, Mahesh Chandran, January 2026
[openreview] [pdf] [bib] -
Tabby: A Language Model Architecture for Tabular and Structured Data Synthesis
Sonia Cromp, Satya Sai Srinath Namburi GNVV, Mohammed Alkhudhayri, Catherine Cao, Samuel Guo, Nicholas Roberts, Frederic Sala, January 2026
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Do Vision Encoders Truly Explain Object Hallucination?: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore
Hongseok Oh, Wonseok Hwang, January 2026
[openreview] [pdf] [bib] [code] -
Efficient Few-Shot Continual Learning in Vision-Language Models
Aristeidis Panos, Rahaf Aljundi, Daniel Olmeda Reino, Richard E. Turner, December 2025
[openreview] [pdf] [bib] -
Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases
Md. Tanvir Alam, Md. Ahasanul Alam, Md Mahmudur Rahman, Md Mosaddek Khan, December 2025
[openreview] [pdf] [bib] [code] -
Unreasonable effectiveness of LLM reasoning: a doubly cautionary tale of temporal question-answering
Dagmara Panas, Ali Payani, Vaishak Belle, December 2025
[openreview] [pdf] [bib] -
How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models
Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff Bilmes, Hannaneh Hajishirzi, Yanai Elazar, December 2025
[openreview] [pdf] [bib] [code] [video] -
Cluster Agnostic Network Lasso Bandits
Sofien Dhouib, Steven Bilaj, Behzad Nourani-Koliji, Setareh Maghsudi, December 2025
[openreview] [pdf] [bib] [code] -
Convergence Aspects of Hybrid Kernel SVGD
Anson MacDonald, Scott A Sisson, Sahani Pathiraja, December 2025
[openreview] [pdf] [bib] [code] -
AutoAnnotator: A Collaborative Annotation Framework for Large and Small Language Models
Yao Lu, Ji Zhaiyuan, Jiawei Du, Yu Shanqing, Qi Xuan, Joey Tianyi Zhou, December 2025
[openreview] [pdf] [bib] [code] -
Positional Encoder Graph Quantile Neural Networks for Geographic Data
William E. R. de Amorim, Scott A Sisson, Thais Carvalho Valadares Rodrigues, David J Nott, Guilherme S. Rodrigues, December 2025
[openreview] [pdf] [bib] [code] -
Policy-Guided Search on Tree-of-Thoughts for Efficient Problem Solving with Bounded Language Model Queries
Sumedh Pendurkar, Guni Sharon, December 2025
[openreview] [pdf] [bib] [code] -
Universal Differential Equations for Stable Multi-Step Volatility Time Series Forecasting
Prasanna Devadiga, Kishan Gurumurthy, Kshitij Mohan, December 2025
[openreview] [pdf] [bib] -
Occam’s Razor for SSL: Memory-Efficient Parametric Instance Discrimination
Eric Gan, Patrik Reizinger, Alice Bizeul, Attila Juhos, Mark Ibrahim, Randall Balestriero, David Klindt, Wieland Brendel, Baharan Mirzasoleiman, December 2025
[openreview] [pdf] [bib] -
Quantifying Context Bias in Domain Adaptation for Object Detection
Hojun Son, Asma A. Almutairi, Arpan Kusari, December 2025
[openreview] [pdf] [bib] -
Exploring exploration with foundation agents in interactive environments
Daniel P. Sawyer, Nan Rosemary Ke, Hubert Soyer, Martin Engelcke, John Reid, David P Reichert, Drew A. Hudson, Alexander Lerchner, Danilo Jimenez Rezende, Timothy P Lillicrap, Michael Curtis Mozer, Jane X Wang, December 2025
[openreview] [pdf] [bib] [video] -
DA-DPO: Cost-efficient Difficulty-aware Preference Optimization for Reducing MLLM Hallucinations
Longtian Qiu, Shan Ning, Chuyu Zhang, Jiaxuan Sun, Xuming He, December 2025
[openreview] [pdf] [bib] [code] -
HopCast: Calibration of Autoregressive Dynamics Models
Muhammad Bilal Shahid, Cody Fleming, December 2025
[openreview] [pdf] [bib] -
Fractal Generative Models
Tianhong Li, Qinyi Sun, Lijie Fan, Kaiming He, December 2025
[openreview] [pdf] [bib] [code] -
Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices
Yuxiang Huang, Binhang Yuan, Xu Han, Chaojun Xiao, Zhiyuan Liu, December 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Rethinking Memory in Continual Learning: Beyond a Monolithic Store of the Past
Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, December 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation
Giorgio Franceschelli, Mirco Musolesi, December 2025
[openreview] [pdf] [bib] [code] [video] -
CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?
Xiangsen Chen, Xuan Feng, Shuo Chen, Matthieu Maitre, Sudipto Rakshit, Diana Duvieilh, Ashley Picone, Nan Tang, December 2025
[openreview] [pdf] [bib] [code] -
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM
Jiaxu Qian, Chendong Wang, Yifan Yang, Chaoyun Zhang, Huiqiang Jiang, Xufang Luo, Yu Kang, Qingwei Lin, Anlan Zhang, Shiqi Jiang, Ting Cao, Tianjun Mao, Suman Banerjee, Guyue Liu, Saravan Rajmohan, Dongmei Zhang, Yuqing Yang, Qi Zhang, Lili Qiu, December 2025
[openreview] [pdf] [bib] -
SoundnessBench: A Soundness Benchmark for Neural Network Verifiers
Xingjian Zhou, Keyi Shen, Andy Xu, Hongji Xu, Cho-Jui Hsieh, Huan Zhang, Zhouxing Shi, December 2025
[openreview] [pdf] [bib] [code] -
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations
Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon, December 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Are Data Embeddings Effective in Time Series Forecasting?
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan, December 2025
[openreview] [pdf] [bib] [code] -
SpidR: Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision
Maxime Poli, Mahi Luthra, Youssef Benchekroun, Yosuke Higuchi, Martin Gleize, Jiayi Shen, Robin Algayres, Yu-An Chung, Mido Assran, Juan Pino, Emmanuel Dupoux, December 2025
[openreview] [pdf] [bib] [code] -
Understanding Embedding Scaling in Collaborative Filtering
Yicheng He, Zhou Kaiyu, Haoyue Bai, Fengbin ZHU, Yonghui Yang, December 2025
[openreview] [pdf] [bib]
Certifications: J2C -
YRC-Bench: A Benchmark for Learning to Coordinate with Experts
Mohamad H. Danesh, Khanh Xuan Nguyen, Tu Trinh, Benjamin Plaut, December 2025
[openreview] [pdf] [bib] [code] -
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
Robert Joseph George, Suozhi Huang, Peiyang Song, Anima Anandkumar, December 2025
[openreview] [pdf] [bib] [code] -
PROPS: Progressively Private Self-alignment of Large Language Models
Noel Teku, Fengwei Tian, Payel Bhattacharjee, Souradip Chakraborty, Amrit Singh Bedi, Ravi Tandon, December 2025
[openreview] [pdf] [bib] -
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot
Milad Abdollahzadeh, Guimeng Liu, Touba Malekzadeh, Christopher T.H Teo, Keshigeyan Chandrasegaran, Ngai-Man Cheung, December 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Multi-BK-Net: Multi-Branch Multi-Kernel Convolutional Neural Networks for Clinical EEG Analysis
Ann-Kathrin Kiessner, Tonio Ball, Joschka Boedecker, December 2025
[openreview] [pdf] [bib] [code] [video] -
Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization
Shivam Pal, Aishwarya Gupta, Saqib Sarwar, Piyush Rai, December 2025
[openreview] [pdf] [bib] [code] -
TempFlex: Advancing MLLMs with Temporal Perception and Natively Scalable Resolution Encoding
Zhanyu Wang, Chen Tang, Haoyu He, Kuan Feng, Chao Wang, Bingni Zhang, Xiaolei XU, SHEN WANG, Luping Zhou, December 2025
[openreview] [pdf] [bib] [code] -
Multimodal Cultural Safety: Evaluation Framework and Alignment Strategies
Haoyi Qiu, Kung-Hsiang Huang, Ruichen Zheng, Jiao Sun, Nanyun Peng, December 2025
[openreview] [pdf] [bib] -
Inherently Robust Control through Maximum-Entropy Learning-Based Rollout
Felix Bok, Atanas Mirchev, Baris Kayalibay, Ole Jonas Wenzel, Patrick van der Smagt, Justin Bayer, December 2025
[openreview] [pdf] [bib] -
Let Your Light Shine: Foreground Portrait Matting via Deep Flash Priors
Tianyi Xiang, Yangyang Xu, Qingxuan Hu, Chenyi Zi, Nanxuan Zhao, Junle Wang, Shengfeng He, December 2025
[openreview] [pdf] [bib] [code] [video] -
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching
Weimin Bai, Yubo Li, Wenzheng Chen, Weijian Luo, He Sun, December 2025
[openreview] [pdf] [bib] -
ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization
Xu Ouyang, Shengzhuang Chen, Michael Arthur Leopold Pearce, Thomas Hartvigsen, Jonathan Richard Schwarz, December 2025
[openreview] [pdf] [bib] [code] -
Physics of Language Models: Part 1, Learning Hierarchical Language Structures
Zeyuan Allen-Zhu, Yuanzhi Li, December 2025
[openreview] [pdf] [bib] [code] [video] -
Top-$k$ Feature Importance Ranking
Eric Chen, Tiffany Tang, Genevera I. Allen, December 2025
[openreview] [pdf] [bib] [code] -
Dissecting Bias in LLMs: A Mechanistic Interpretability Perspective
Zubair Bashir, Bhavik Chandna, Procheta Sen, December 2025
[openreview] [pdf] [bib] [code] -
End-to-End Conformal Calibration for Optimization Under Uncertainty
Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue, December 2025
[openreview] [pdf] [bib] [code] -
Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching
An Vuong, Michael Thompson McCann, Javier E. Santos, Yen Ting Lin, December 2025
[openreview] [pdf] [bib] -
GraphFM: A generalist graph transformer that learns transferable representations across diverse domains
Divyansha Lachi, Mehdi Azabou, Vinam Arora, Eva L Dyer, December 2025
[openreview] [pdf] [bib] [code] -
On the Hardness of Computing Counterfactual and Semi-factual Explanations in XAI
André Artelt, Martin Olsen, Kevin Tierney, December 2025
[openreview] [pdf] [bib] -
Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge
Dong-Sig Han, Jaein Kim, HEE BIN YOO, Byoung-Tak Zhang, December 2025
[openreview] [pdf] [bib] [code] -
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors
Haodong Lu, Xinyu Zhang, Kristen Moore, Jason Xue, Lina Yao, Anton van den Hengel, Dong Gong, December 2025
[openreview] [pdf] [bib] [code] -
STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting
Shi Quan Foo, Chi-Ho Wong, Zhihan Gao, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong, December 2025
[openreview] [pdf] [bib] [code] -
Demystifying amortized causal discovery with transformers
Francesco Montagna, Max Cairney-Leeming, Dhanya Sridhar, Francesco Locatello, December 2025
[openreview] [pdf] [bib] [code] -
TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data
Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng, December 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Diffusion Self-Weighted Guidance for Offline Reinforcement Learning
Augusto Tagle, Javier Ruiz-del-Solar, Felipe Tobar, December 2025
[openreview] [pdf] [bib] -
Language Models for Controllable DNA Sequence Design
Xingyu Su, Xiner Li, Yuchao Lin, Ziqian Xie, Degui Zhi, Shuiwang Ji, December 2025
[openreview] [pdf] [bib] [code] -
LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators
Marimuthu Kalimuthu, David Holzmüller, Mathias Niepert, December 2025
[openreview] [pdf] [bib]
Certifications: J2C -
LO-BCQ: Locally Optimal Block Clustered Quantization for 4-bit (W4A4) LLM Inference
Reena Elangovan, Charbel Sakr, Anand Raghunathan, Brucek Khailany, December 2025
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Fourier Learning Machines: Nonharmonic Fourier-Based Neural Networks for Scientific Machine Learning
Mominul Rubel, Adam Meyers, Gabriel Nicolosi, December 2025
[openreview] [pdf] [bib] -
Robust Reinforcement Learning in a Sample-Efficient Setting
Siemen Herremans, Ali Anwar, Siegfried Mercelis, December 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: Reproducibility Featured J2C -
Mirror Descent Policy Optimisation for Robust Constrained Markov Decision Processes
David Mark Bossens, Atsushi Nitanda, December 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Tractable Representation Learning with Probabilistic Circuits
Steven Braun, Sahil Sidheekh, Antonio Vergari, Martin Mundt, Sriraam Natarajan, Kristian Kersting, December 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Group-robust Machine Unlearning
Thomas De Min, Subhankar Roy, Stéphane Lathuilière, Elisa Ricci, Massimiliano Mancini, December 2025
[openreview] [pdf] [bib] [code] -
Inverse Scaling in Test-Time Compute
Aryo Pradipta Gema, Alexander Hägele, Runjin Chen, Andy Arditi, Jacob Goldman-Wetzler, Kit Fraser-Taliente, Henry Sleight, Linda Petrini, Julian Michael, Beatrice Alex, Pasquale Minervini, Yanda Chen, Joe Benton, Ethan Perez, December 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C Event: iclr.cc/ICLR/2026/Journal_Track -
TicketLLM: Next-Generation Sparse and Low-bit Transformers with Supermask-based Method
Yasuyuki Okoshi, Hikari Otsuka, Daichi Fujiki, Masato Motomura, December 2025
[openreview] [pdf] [bib] -
Accumulator-Aware Post-Training Quantization for Large Language Models
Ian Colbert, Giuseppe Franco, Fabian Grob, Jinjie Zhang, Rayan Saab, December 2025
[openreview] [pdf] [bib] [code] -
A Pattern Language for Machine Learning Tasks
Benjamin Rodatz, Ian Fan, Tuomas Laakkonen, Neil John Ortega, Thomas Hoffmann, Vincent Wang, December 2025
[openreview] [pdf] [bib] [code] -
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He, December 2025
[openreview] [pdf] [bib] [code] -
Designing a Conditional Prior Distribution for Flow-Based Generative Models
Noam Issachar, Mohammad Salama, Raanan Fattal, Sagie Benaim, December 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
Eshed Gal, Moshe Eliasof, Carola-Bibiane Schönlieb, Ivan Kyrchei, Eldad Haber, Eran Treister, December 2025
[openreview] [pdf] [bib] -
Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift
Gautam Sreekumar, Vishnu Boddeti, December 2025
[openreview] [pdf] [bib] -
Consistency Aware Robust Learning under Noisy Labels
Fahad Sarfraz, Bahram Zonooz, Elahe Arani, December 2025
[openreview] [pdf] [bib] -
On The Landscape of Spoken Language Models: A Comprehensive Survey
Siddhant Arora, Kai-Wei Chang, Chung-Ming Chien, Yifan Peng, Haibin Wu, Yossi Adi, Emmanuel Dupoux, Hung-yi Lee, Karen Livescu, Shinji Watanabe, December 2025
[openreview] [pdf] [bib] -
FeatInv: Spatially resolved mapping from feature space to input space using conditional diffusion models
Nils Neukirch, Johanna Vielhaben, Nils Strodthoff, December 2025
[openreview] [pdf] [bib] [code] -
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks
Mahsa Taheri, Fang Xie, Johannes Lederer, December 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
CREW-Wildfire: Benchmarking Agentic Multi-Agent Collaborations at Scale
Jonathan Hyun, Nicholas R Waytowich, Boyuan Chen, December 2025
[openreview] [pdf] [bib] [code] [video] -
Gaussian mixture layers for neural networks
Sinho Chewi, Philippe Rigollet, Yuling Yan, December 2025
[openreview] [pdf] [bib] [code] -
Superposition as Lossy Compression — Measure with Sparse Autoencoders and Connect to Adversarial Vulnerability
Leonard Bereska, Zoe Tzifa-Kratira, Reza Samavi, Stratis Gavves, December 2025
[openreview] [pdf] [bib] -
Generative Proto-Sequence: Sequence-Level Decision Making for Long-Horizon Reinforcement Learning
Netanel Fried, Liad Giladi, Gilad Katz, December 2025
[openreview] [pdf] [bib] [code] [video] -
IPA: An Information-Reconstructive Input Projection Framework for Efficient Foundation Model Adaptation
Yuan Yin, Shashanka Venkataramanan, Tuan-Hung Vu, Andrei Bursuc, Matthieu Cord, December 2025
[openreview] [pdf] [bib] [code] -
FusionProt: Fusing Sequence and Structural Information for Unified Protein Representation Learning
Dan Kalifa, Uriel Singer, Kira Radinsky, December 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen, December 2025
[openreview] [pdf] [bib] [code] -
Training Dynamics of Learning 3D-Rotational Equivariance
Max W Shen, Ewa Nowara, Michael Maser, Kyunghyun Cho, December 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models
Prateek Chhikara, December 2025
[openreview] [pdf] [bib] [code] -
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
Amaan Valiuddin, Ruud Van Sloun, Christiaan Viviers, Peter H.N. de With, Fons van der Sommen, December 2025
[openreview] [pdf] [bib] -
Real-Time Privacy Preservation for Robot Visual Perception
Minkyu Choi, Yunhao Yang, Neel P. Bhatt, Kushagra Gupta, Sahil Shah, Aditya Rai, David Fridovich-Keil, ufuk topcu, Sandeep P. Chinchali, December 2025
[openreview] [pdf] [bib] -
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang, December 2025
[openreview] [pdf] [bib] -
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation
Pranav Ramesh, Gopalakrishnan Srinivasan, December 2025
[openreview] [pdf] [bib] [code] -
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
Justus Westerhoff, Golzar Atefi, Mario Koddenbrock, Alexei Figueroa, Alexander Löser, Erik Rodner, Felix Alexander Gers, December 2025
[openreview] [pdf] [bib] [code] [video] -
Sparse, Efficient and Explainable Data Attribution with DualXDA
Galip Ümit Yolcu, Moritz Weckbecker, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin, December 2025
[openreview] [pdf] [bib] -
Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images
George R. Nahass, Zhu Wang, Homa Rashidisabet, Won Hwa Kim, Sasha Hubschman, Jeffrey C. Peterson, Pete Setabutr, Chad A. Purnell, Ann Tran, Darvin Yi, Sathya N. Ravi, December 2025
[openreview] [pdf] [bib] [code] -
How iteration composition influences convergence and stability in deep learning
Benoit Dherin, Benny Avelin, Anders Karlsson, Hanna Mazzawi, Javier Gonzalvo, Michael Munn, December 2025
[openreview] [pdf] [bib] -
Prompt Engineering Techniques for Language Model Reasoning Lack Replicability
Laurène Vaugrante, Mathias Niepert, Thilo Hagendorff, December 2025
[openreview] [pdf] [bib] [code] -
SPONGE: Competing Sparse Language Representations for Effective Knowledge Transfer
Jens-Michalis Papaioannou, Alexei Figueroa, Conor Fallon, Anna Capilla, Alexandra Bekiaridou, Stavros Zanos, Wolfgang Nejdl, Alexander Löser, December 2025
[openreview] [pdf] [bib] -
Hard Work Does Not Always Pay Off: On the Robustness of NAS to Data Poisoning
Zachary Coalson, Huazheng Wang, Qingyun Wu, Sanghyun Hong, December 2025
[openreview] [pdf] [bib] [code] -
B-cos LM: Efficiently Transforming Pre-trained Language Models for Improved Explainability
Yifan Wang, Sukrut Rao, Ji-Ung Lee, Mayank Jobanputra, Vera Demberg, December 2025
[openreview] [pdf] [bib] [code] -
How to Upscale Neural Networks with Scaling Law?
Ayan Sengupta, Yash Goel, Tanmoy Chakraborty, December 2025
[openreview] [pdf] [bib] -
COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling
Noah Flynn, December 2025
[openreview] [pdf] [bib] -
Denoising Pretrained Black-box Models via Amplitude-Guided Phase Realignment
Hongliang Ni, Tong Chen, Shazia Sadiq, Gianluca Demartini, December 2025
[openreview] [pdf] [bib] [code] -
FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated Learning
Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal, December 2025
[openreview] [pdf] [bib] [code] [video] -
VirDA: Reusing Backbone for Unsupervised Domain Adaptation with Visual Reprogramming
Duc-Duy Nguyen, Dat Nguyen, December 2025
[openreview] [pdf] [bib] [code] -
The Performance Of The Unadjusted Langevin Algorithm Without Smoothness Assumptions
Tim Johnston, Iosif Lytras, Nikolaos Makras, Sotirios Sabanis, December 2025
[openreview] [pdf] [bib] -
Inverting Gradient Attacks Makes Powerful Data Poisoning
Wassim Bouaziz, Nicolas Usunier, El-Mahdi El-Mhamdi, December 2025
[openreview] [pdf] [bib] [code] -
Synchrony-Gated Plasticity with Dopamine Modulation for Spiking Neural Networks
Yuchen Tian, Samuel Tensingh, Jason Eshraghian, Nhan Duy Truong, Omid Kavehei, December 2025
[openreview] [pdf] [bib] [code] -
Causal Ordering for Structure Learning from Time Series
Pedro Sanchez, Damian Machlanski, Steven McDonagh, Sotirios A. Tsaftaris, December 2025
[openreview] [pdf] [bib] [code] -
The Initialization Determines Whether In-Context Learning Is Gradient Descent
Shifeng Xie, Rui Yuan, Simone Rossi, Thomas Hannagan, December 2025
[openreview] [pdf] [bib] -
Towards shutdownable agents via stochastic choice
Elliott Thornley, Alexander Roman, Christos Ziakas, Louis Thomson, Leyton Ho, December 2025
[openreview] [pdf] [bib] -
Angular Regularization for Positive-Unlabeled Learning on the Hypersphere
Vasileios Sevetlidis, George Pavlidis, Antonios Gasteratos, December 2025
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Task-agnostic Prompt Compression with Context-aware Sentence Embedding and Reward-guided Task Descriptor
Barys Liskavets, Shuvendu Roy, Maxim Ushakov, Mark Klibanov, Ali Etemad, Shane K. Luke, December 2025
[openreview] [pdf] [bib] [code] -
Unifying Linear-Time Attention via Latent Probabilistic Modelling
Rares Dolga, Lucas Maystre, Marius Cobzarenco, David Barber, December 2025
[openreview] [pdf] [bib] [code] -
Understanding Class Bias Amplification in Graph Representation Learning
Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Zengfeng Huang, December 2025
[openreview] [pdf] [bib] [code] -
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning
Lorenz Wolf, Mirco Musolesi, December 2025
[openreview] [pdf] [bib] [code] -
HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability
Madison Cooley, Mike Kirby, Shandian Zhe, Varun Shankar, December 2025
[openreview] [pdf] [bib] [code] -
Why Settle for Mid: A Probabilistic Viewpoint to Spatial Relationship Alignment in Text-to-image Models
Parham Rezaei, Arash Marioriyad, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, December 2025
[openreview] [pdf] [bib] [code] -
The AI Hippocampus: How Far are We From Human Memory?
Zixia Jia, Jiaqi Li, Yipeng Kang, Yuxuan Wang, Tong Wu, Quansen Wang, Xiaobo Wang, Shuyi Zhang, Junzhe Shen, Qing Li, Siyuan Qi, Yitao Liang, Di He, Zilong Zheng, Song-Chun Zhu, December 2025
[openreview] [pdf] [bib] [code] -
SIRE: SE(3) Intrinsic Rigidity Embeddings
Cameron Omid Smith, Basile Van Hoorick, Chonghyuk Song, Vincent Sitzmann, Vitor Campagnolo Guizilini, Yue Wang, December 2025
[openreview] [pdf] [bib] [code] -
A second-order-like optimizer with adaptive gradient scaling for deep learning
Jerome Bolte, Ryan Boustany, Edouard Pauwels, Andrei Purica, December 2025
[openreview] [pdf] [bib] [code] -
Learning Task-Aware Abstract Representations for Meta-Reinforcement Learning
Louk van Remmerden, Zhao Yang, Shujian Yu, Mark Hoogendoorn, Vincent Francois-Lavet, December 2025
[openreview] [pdf] [bib] [code] -
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
Xintong Duan, Yutong He, Fahim Tajwar, Wentse Chen, Ruslan Salakhutdinov, Jeff Schneider, December 2025
[openreview] [pdf] [bib] -
MDTree: A Masked Dynamic Autoregressive Model for Phylogenetic Inference
Zelin Zang, ChenRui Duan, Siyuan Li, Jinlin Wu, BingoWing-Kuen Ling, Fuji Yang, Jiebo Luo, Zhen Lei, Stan Z. Li, December 2025
[openreview] [pdf] [bib] -
Convergence of linear programming hierarchies for Gibbs states of spin systems
Hamza Fawzi, Omar Fawzi, December 2025
[openreview] [pdf] [bib] -
LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects
Guangyi Liu, Pengxiang Zhao, Yaozhen Liang, Liang Liu, Yaxuan Guo, Han Xiao, Weifeng Lin, Yuxiang Chai, Yue Han, Shuai Ren, Hao Wang, Xiaoyu Liang, WenHao Wang, Tianze Wu, Zhengxi Lu, Siheng Chen, LiLinghao, Hao Wang, Guanjing Xiong, Yong Liu, Hongsheng Li, December 2025
[openreview] [pdf] [bib] [code] -
MMD Two-sample Testing in the Presence of Arbitrarily Missing Data
Yijin Zeng, Niall M. Adams, Dean A. Bodenham, December 2025
[openreview] [pdf] [bib] [code] -
An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning
Cen-Jhih Li, Aditya Bhaskara, December 2025
[openreview] [pdf] [bib] [code] -
Oscillations Make Neural Networks Robust to Quantization
Jonathan Wenshøj, Bob Pepin, Raghavendra Selvan, December 2025
[openreview] [pdf] [bib] [code] -
Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
Yiyang Lu, Mohammad Pedramfar, Vaneet Aggarwal, December 2025
[openreview] [pdf] [bib] -
kNNSampler: Stochastic Imputations for Recovering Missing Value Distributions
Parastoo PASHMCHI, Jérôme Benoit, Motonobu Kanagawa, December 2025
[openreview] [pdf] [bib] [code] -
Learning to Rank Features to Enhance Graph Neural Networks for Graph Classification
Fouad Alkhoury, Tamas Horvath, Christian Bauckhage, Stefan Wrobel, December 2025
[openreview] [pdf] [bib] [code] [video] -
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning
Andy Li, Aiden Durrant, Milan Markovic, Tianjin Huang, Souvik Kundu, Tianlong Chen, Lu Yin, Georgios Leontidis, December 2025
[openreview] [pdf] [bib] [code] -
Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations
Dimitris Bertsimas, Caio de Próspero Iglesias, Nicholas A. G. Johnson, December 2025
[openreview] [pdf] [bib] [code] -
A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs
Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mido Assran, December 2025
[openreview] [pdf] [bib] -
Outcome-based Reinforcement Learning to Predict the Future
Benjamin Turtel, Danny Franklin, Kris Skotheim, Luke Hewitt, Philipp Schoenegger, December 2025
[openreview] [pdf] [bib] -
Joint Diffusion for Universal Hand-Object Grasp Generation
Jinkun Cao, Jingyuan Liu, Kris Kitani, Yi Zhou, December 2025
[openreview] [pdf] [bib] -
Sparse-Input Neural Network using Group Concave Regularization
Bin Luo, Susan Halabi, December 2025
[openreview] [pdf] [bib] [code] -
Stabilizing black-box model selection with the inflated argmax
Melissa Adrian, Jake A Soloff, Rebecca Willett, November 2025
[openreview] [pdf] [bib] [code] -
CoCoIns: Consistent Subject Generation via Contrastive Instantiated Concepts
Lee Hsin-Ying, Kelvin C.K. Chan, Ming-Hsuan Yang, November 2025
[openreview] [pdf] [bib] [code] -
Unlocking the matrix form of the Quaternion Fourier Transform and Quaternion Convolution: Properties, connections, and application to Lipschitz constant bounding
Giorgos Sfikas, George Retsinas, November 2025
[openreview] [pdf] [bib] [code] -
Melody or Machine: Detecting Synthetic Music with Dual-Stream Contrastive Learning
Arnesh Batra, Dev Sharma, Krish Thukral, Ruhani Bhatia, Naman Batra, Aditya Gautam, November 2025
[openreview] [pdf] [bib] [code] -
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling
Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik, November 2025
[openreview] [pdf] [bib] -
Harmonic Loss Trains Interpretable AI Models
David D. Baek, Ziming Liu, Riya Tyagi, Max Tegmark, November 2025
[openreview] [pdf] [bib] -
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture
Adrien Benamira, Tristan Guérand, Thomas Peyrin, Sayandeep Saha, November 2025
[openreview] [pdf] [bib] -
The Diffusion Process as a Correlation Machine: Linear Denoising Insights
Dana Weitzner, Mauricio Delbracio, Peyman Milanfar, Raja Giryes, November 2025
[openreview] [pdf] [bib] -
PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training
Anirudh Satheesh, Anant Khandelwal, Mucong Ding, Radu Balan, November 2025
[openreview] [pdf] [bib] -
Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization
Amir Saeidi, Shivanshu Verma, Kashif Rasul, Aswin RRV, Chitta Baral, November 2025
[openreview] [pdf] [bib] [code] -
Estimating the Event-Related Potential from Few EEG Trials
Anders Vestergaard Nørskov, Kasper Jørgensen, Alexander Neergaard Zahid, Morten Mørup, November 2025
[openreview] [pdf] [bib] [code] -
Adaptive Mesh Quantization for Neural PDE Solvers
Winfried van den Dool, Maksim Zhdanov, Yuki M Asano, Max Welling, November 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Image and Video Quality Assessment using Prompt-Guided Latent Diffusion Models for Cross-Dataset Generalization
Shankhanil Mitra, Diptanu De, Shika Rao, Rajiv Soundararajan, November 2025
[openreview] [pdf] [bib] -
Visual-Word Tokenizer: Beyond Fixed Sets of Tokens in Vision Transformers
Leonidas Gee, Wing Yan Li, Viktoriia Sharmanska, Novi Quadrianto, November 2025
[openreview] [pdf] [bib] -
Enhancing Physics-Informed Neural Networks Through Feature Engineering
Shaghayegh Fazliani, Zachary Frangella, Madeleine Udell, November 2025
[openreview] [pdf] [bib] -
SaFARi: State-Space Models for Frame-Agnostic Representation
Hossein Babaei, Mel White, Sina Alemohammad, Richard Baraniuk, November 2025
[openreview] [pdf] [bib] [code] [video] -
MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation
Minhyun Lee, Seungho Lee, Song Park, Dongyoon Han, Byeongho Heo, Hyunjung Shim, November 2025
[openreview] [pdf] [bib] [code] -
Rewarding the Rare: Maverick-Aware Shapley Valuation in Federated Learning
Mengwei Yang, Baturalp Buyukates, Athina Markopoulou, November 2025
[openreview] [pdf] [bib] -
Tree Structure for the Categorical Wasserstein Weisfeiler-Lehman Graph Kernel
Keishi Sando, Tam Le, Hideitsu Hino, November 2025
[openreview] [pdf] [bib] [code] -
The Choice of Normalization Influences Shrinkage in Regularized Regression
Johan Larsson, Jonas Wallin, November 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: Featured J2C -
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving
Shuo Xing, Hongyuan Hua, Xiangbo Gao, Shenzhe Zhu, Renjie Li, Kexin Tian, Xiaopeng Li, Heng Huang, Tianbao Yang, Zhangyang Wang, Yang Zhou, Huaxiu Yao, Zhengzhong Tu, November 2025
[openreview] [pdf] [bib] [code] -
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy
Gian Maria Campedelli, Nicolò Penzo, Massimo Stefan, Roberto Dessi, Marco Guerini, Bruno Lepri, Jacopo Staiano, November 2025
[openreview] [pdf] [bib] [code] -
Hard-Negative Prototype-Based Regularization for Few-Shot Class-Incremental Learning
Seongbeom Park, Hyunju Yun, Daewon Chae, Sungyoon Kim, Suhong Moon, Minwoo Kang, Seunghyun Park, Jinkyu Kim, November 2025
[openreview] [pdf] [bib] [code] -
Say My Name: a Model's Bias Discovery Framework
Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione, November 2025
[openreview] [pdf] [bib] [code] -
Node Embeddings via Neighbor Embeddings
Jan Niklas Böhm, Marius Keute, Alica Guzmán, Sebastian Damrich, Andrew Draganov, Dmitry Kobak, November 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Multi-Modal Foundation Models for Computational Pathology: A Survey
Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Zhong Chen, Peter K Sorger, Chen Zhao, November 2025
[openreview] [pdf] [bib] -
AttentionBreaker: Adaptive Evolutionary Optimization for Unmasking Vulnerabilities in LLMs through Bit-Flip Attacks
Sanjay Das, Swastik Bhattacharya, Souvik Kundu, Shamik Kundu, Anand Menon, Arnab Raha, Kanad Basu, November 2025
[openreview] [pdf] [bib] -
Streamlining Language Models via Semantic Basis Analysis
Yang Li, Daniel Agyei Asante, Changsheng Zhao, Ernie Chang, Yangyang Shi, Vikas Chandra, November 2025
[openreview] [pdf] [bib] [code] -
Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models
Zhongyu Yang, Dannong Xu, Wei Pang, Yingfang Yuan, November 2025
[openreview] [pdf] [bib] -
Learning to Prompt Your Domain for Federated Vision-Language Models
Guoyizhe Wei, Feng Wang, Anshul Shah, Rama Chellappa, November 2025
[openreview] [pdf] [bib] -
On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks
Chenyang Wu, Qian Chen, Akang Wang, Tian Ding, Ruoyu Sun, Wenguo Yang, Qingjiang Shi, November 2025
[openreview] [pdf] [bib] -
Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective
Meng Ding, Rohan Sharma, Changyou Chen, Jinhui Xu, Kaiyi Ji, November 2025
[openreview] [pdf] [bib] -
Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction
Zheyuan Liu, Junyan Wang, Zicheng Duan, Cristian Rodriguez-Opazo, Anton van den Hengel, November 2025
[openreview] [pdf] [bib] -
Mastering SAM Prompts: A Large-Scale Empirical Study in Segmentation Refinement for Scientific Imaging
Stephen Price, Elke Rundensteiner, Danielle L. Cote, November 2025
[openreview] [pdf] [bib] [code] -
Uncertainty-aware Reward Design Process
Yang yang, Xiaolu Zhou, Bosong Ding, Miao Xin, November 2025
[openreview] [pdf] [bib] -
crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels
Marek Herde, Lukas Lührs, Denis Huseljic, Bernhard Sick, November 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Learning few-step posterior samplers by unfolding and distillation of diffusion models
Charlesquin Kemajou Mbakam, Marcelo Pereyra, Jonathan Spence, November 2025
[openreview] [pdf] [bib] [code] -
LBMamba: Locally Bi-directional Mamba
Jingwei Zhang, Xi Han, Hong Qin, Mahdi S. Hosseini, Dimitris Samaras, November 2025
[openreview] [pdf] [bib] [code] -
PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling
Zhongjie Dai, Tao Feng, Jiaxuan You, November 2025
[openreview] [pdf] [bib] [code] -
Preserving Expert-Level Privacy in Offline Reinforcement Learning
Navodita Sharma, Vishnu Vinod, Abhradeep Guha Thakurta, Alekh Agarwal, Borja Balle, Christoph Dann, Aravindan Raghuveer, November 2025
[openreview] [pdf] [bib]
Certifications: J2C -
ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations
Pavel Rytíř, Aleš Wodecki, Georgios Korpas, Jakub Marecek, November 2025
[openreview] [pdf] [bib] [code] -
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
Yu Yang, Pan Xu, November 2025
[openreview] [pdf] [bib] [code] -
Scaling Laws of Distributed Random Forests
Katharina Flügel, Charlotte Debus, Markus Götz, Achim Streit, Marie Weiel, November 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
LCEN: A Nonlinear, Interpretable Feature Selection and Machine Learning Algorithm
Pedro Seber, Richard Braatz, November 2025
[openreview] [pdf] [bib] [code] -
Coresets from Trajectories: Selecting Data via Correlation of Loss Differences
Manish Nagaraj, Deepak Ravikumar, Kaushik Roy, November 2025
[openreview] [pdf] [bib] [code] -
AEAP: A Reinforcement Learning Actor Ensemble Algorithm with Adaptive Pruning
WEI ZHANG, Guni Sharon, November 2025
[openreview] [pdf] [bib] -
FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers
Ruichen Chen, Keith G. Mills, Di Niu, November 2025
[openreview] [pdf] [bib] [code] -
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training
Elia Cunegatti, Leonardo Lucio Custode, Giovanni Iacca, November 2025
[openreview] [pdf] [bib] [code] -
IndicFake Meets SAFARI-LLM: Unifying Semantic and Acoustic Intelligence for Multilingual Deepfake Detection
Rishabh Ranjan, Mayank Vatsa, Richa Singh, November 2025
[openreview] [pdf] [bib] -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Hardy Chen, Haoqin Tu, Fali Wang, Hui Liu, Xianfeng Tang, Xinya Du, Yuyin Zhou, Cihang Xie, November 2025
[openreview] [pdf] [bib] -
Minimax Multi-Target Conformal Prediction with Applications to Imaging Inverse Problems
Jeffrey Wen, Rizwan Ahmad, Philip Schniter, November 2025
[openreview] [pdf] [bib] -
Early Classification of Time Series: A Survey and Benchmark
Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire, November 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: Reproducibility -
Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection
Yazhou Zhang, Chunwang Zou, Bo Wang, Jing Qin, Prayag Tiwari, November 2025
[openreview] [pdf] [bib] -
Higher Order Transformers With Kronecker-Structured Attention
Soroush Omranpour, Guillaume Rabusseau, Reihaneh Rabbany, November 2025
[openreview] [pdf] [bib] [code] -
Divide and Merge: Motion and Semantic Learning in End-to-End Autonomous Driving
Yinzhe Shen, Omer Sahin Tas, Kaiwen Wang, Royden Wagner, Christoph Stiller, November 2025
[openreview] [pdf] [bib] [code] -
RIZE: Adaptive Regularization for Imitation Learning
Adib Karimi, Mohammad Mehdi Ebadzadeh, November 2025
[openreview] [pdf] [bib] [code] -
Self-Supervised Learning on Molecular Graphs: A Systematic Investigation of Masking Design
Jiannan Yang, Veronika Thost, Tengfei Ma, November 2025
[openreview] [pdf] [bib] [code] -
ComFe: An Interpretable Head for Vision Transformers
Evelyn Mannix, Liam Hodgkinson, Howard Bondell, November 2025
[openreview] [pdf] [bib] [code] -
Preserving Angles Improves Feature Distillation
Evelyn Mannix, Liam Hodgkinson, Howard Bondell, November 2025
[openreview] [pdf] [bib] [code] -
MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme Moderation
Sayantan Adak, Somnath Banerjee, Rajarshi Mandal, Avik Halder, Sayan Layek, Rima Hazra, Animesh Mukherjee, November 2025
[openreview] [pdf] [bib] [code] -
Gradient GA: Gradient Genetic Algorithm For Drug Molecular Design
Debadyuti Mukherjee, Chris Zhuang, Yingzhou Lu, Tianfan Fu, Ruqi Zhang, November 2025
[openreview] [pdf] [bib] [code] -
Schauder Bases for $C[0, 1]$ Using ReLU, Softplus and Two Sigmoidal Functions
Anand Ganesh, Babhrubahan Bose, Anand Rajagopalan, November 2025
[openreview] [pdf] [bib] -
UMP-Net: Uncertainty-Aware Mixture of Prompts Network for Efficient Instruction Tuning
Fatemeh Daneshfar, Abdulhady abas, Moloud Abdar, Pietro Lio, November 2025
[openreview] [pdf] [bib] [code] -
Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning
Zheng Zhang, November 2025
[openreview] [pdf] [bib] [code] [video] -
Pseudo-Physics-Informed Neural Operators: Enhancing Operator Learning from Limited Data
Keyan Chen, Yile Li, Da Long, Zhitong Xu, WEI W. XING, Jacob Hochhalter, Shandian Zhe, November 2025
[openreview] [pdf] [bib] -
Towards Formalizing Spuriousness of Biased Datasets Using Partial Information Decomposition
Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta, November 2025
[openreview] [pdf] [bib] [code] [video] -
Learning Deformable Body Interactions With Adaptive Spatial Tokenization
Hao Wang, Yu Liu, Daniel Biggs, Haoru Wang, Jiandong Yu, Ping Huang, November 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
Dylan Bouchard, Mohit Singh Chauhan, November 2025
[openreview] [pdf] [bib] [code] -
The Future of MLLM Prompting is Adaptive: A Comprehensive Experimental Evaluation of Prompt Engineering Methods for Robust Multimodal Performance
Anwesha Mohanty, Venkatesh Balavadhani Parthasarathy, Arsalan Shahid, November 2025
[openreview] [pdf] [bib] [code] -
An Unconditional Representation of the Conditional Score in Infinite Dimensional Linear Inverse Problems
Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin, November 2025
[openreview] [pdf] [bib] [code] -
Distributed Hierarchical Decomposition Framework for Multimodal Timeseries Prediction
Wei Ye, Prashant Khanduri, Jiangweizhi Peng, Feng Tian, Jun Gao, Jie Ding, Zhi-Li Zhang, Mingyi Hong, November 2025
[openreview] [pdf] [bib] -
Learning Is a Kan Extension
Matthew Pugh, Nick Harris, Corina Cirstea, Jo Grundy, November 2025
[openreview] [pdf] [bib] -
Monotone Missing Data: A Blessing and a Curse
Santtu Tikka, Juha Karvanen, November 2025
[openreview] [pdf] [bib] -
RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation
Matteo El-Hariry, Antoine Richard, Ricard Marsal, Luis Felipe Wolf Batista, Matthieu Geist, Cédric Pradalier, Miguel Olivares-Mendez, November 2025
[openreview] [pdf] [bib] -
Phase-driven Generalizable Representation Learning for Nonstationary Time Series Classification
Payal Mohapatra, Lixu Wang, Qi Zhu, November 2025
[openreview] [pdf] [bib] [code] -
Dataset Condensation with Color Compensation
Huyu Wu, Duo Su, Junjie Hou, Guang Li, November 2025
[openreview] [pdf] [bib] [code] -
Adaptive Group Robust Ensemble Knowledge Distillation
Patrik Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou, November 2025
[openreview] [pdf] [bib] [code] [video] -
Two-Step Offline Preference-Based Reinforcement Learning on Explicitly Constrained Policies
Yinglun Xu, Tarun Suresh, Rohan Gumaste, David Zhu, Ruirui Li, Zhengyang Wang, Haoming Jiang, Xianfeng Tang, Qingyu Yin, Monica Xiao Cheng, Qi Zeng, Chao Zhang, Gagandeep Singh, November 2025
[openreview] [pdf] [bib] -
An Evolutionary Algorithm for Black-Box Adversarial Attack Against Explainable Methods
Phoenix Neale Williams, Jessica Schrouff, Lea Goetz, November 2025
[openreview] [pdf] [bib] -
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Mouad El Bouchattaoui, Myriam Tami, BENOIT LEPETIT, Paul-Henry Cournède, November 2025
[openreview] [pdf] [bib] [code] -
Privacy-Aware Time Series Synthesis via Public Knowledge Distillation
Penghang Liu, Haibei Zhu, Eleonora Kreacic, Svitlana Vyetrenko, November 2025
[openreview] [pdf] [bib] -
Batched Nonparametric Bandits via k-Nearest Neighbor UCB
Sakshi Arya, November 2025
[openreview] [pdf] [bib] -
Stacking Variational Bayesian Monte Carlo
Francesco Silvestrin, Chengkun LI, Luigi Acerbi, November 2025
[openreview] [pdf] [bib] [code] -
Characterizing the Training Dynamics of Private Fine-tuning with Langevin diffusion
Shuqi Ke, Charlie Hou, Sewoong Oh, Giulia Fanti, November 2025
[openreview] [pdf] [bib] [code] -
Universal Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning
Yinglun Xu, Gagandeep Singh, November 2025
[openreview] [pdf] [bib] -
GenOL: Generating Diverse Examples for Name-only Online Learning
Minhyuk Seo, Seongwon Cho, Minjae Lee, Diganta Misra, Hyeonbeom Choi, Seon Joo Kim, Jonghyun Choi, November 2025
[openreview] [pdf] [bib] [code] -
Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics
PANKAJ KUMAR, Subhankar Mishra, November 2025
[openreview] [pdf] [bib] -
The inexact power augmented Lagrangian method for constrained nonconvex optimization
Alexander Bodard, Konstantinos Oikonomidis, Emanuel Laude, Panagiotis Patrinos, November 2025
[openreview] [pdf] [bib] -
Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents
Yu Gu, Kai Zhang, Yuting Ning, Boyuan Zheng, Boyu Gou, Tianci Xue, Cheng Chang, Sanjari Srivastava, Yanan Xie, Peng Qi, Huan Sun, Yu Su, November 2025
[openreview] [pdf] [bib] [code] -
DRAGON: Distributional Rewards Optimize Diffusion Generative Models
Yatong Bai, Jonah Casebeer, Somayeh Sojoudi, Nicholas J. Bryan, November 2025
[openreview] [pdf] [bib] -
Choose Your Model Size: Any Compression of Large Language Models Without Re-Computation
Martin Genzel, Patrick Putzky, Pengfei Zhao, Sebastian Schulze, Mattes Mollenhauer, Robert Seidel, Stefan Dietzel, Thomas Wollmann, November 2025
[openreview] [pdf] [bib] [code] -
Overcoming Non-stationary Dynamics with Evidential Proximal Policy Optimization
Abdullah Akgül, Gulcin Baykal, Manuel Haussmann, Melih Kandemir, November 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
RANa: Retrieval-Augmented Navigation
Gianluca Monaci, Rafael S. Rezende, Romain Deffayet, Gabriela Csurka, Guillaume Bono, Hervé Déjean, Stéphane Clinchant, Christian Wolf, November 2025
[openreview] [pdf] [bib] -
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning
Md Joshem Uddin, Astrit Tola, Varin Singh Sikand, Cuneyt Gurcan Akcora, Baris Coskunuzer, November 2025
[openreview] [pdf] [bib] [code] -
CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection
Byeongchan Lee, John Won, Seunghyun Lee, Jinwoo Shin, November 2025
[openreview] [pdf] [bib] [code] -
The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning
Tianshi Zheng, Yixiang Chen, Chengxi Li, Chunyang Li, Qing Zong, Haochen Shi, Baixuan Xu, Yangqiu Song, Ginny Wong, Simon See, November 2025
[openreview] [pdf] [bib] -
Scalable Generative Modeling of Weighted Graphs
Richard Williams, Eric Nalisnick, Andrew Holbrook, November 2025
[openreview] [pdf] [bib] [code] -
Testing with Non-identically Distributed Samples
Shivam Garg, Chirag Pabbaraju, Kirankumar Shiragur, Gregory Valiant, November 2025
[openreview] [pdf] [bib]
Certifications: J2C -
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models
Yao Xiao, Qiqian Fu, Heyi Tao, Yuqun Wu, Zhen Zhu, Derek Hoiem, November 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
A Practical Investigation of Spatially-Controlled Image Generation with Transformers
Guoxuan Xia, Harleen Hanspal, Petru-Daniel Tudosiu, Shifeng Zhang, Sarah Parisot, November 2025
[openreview] [pdf] [bib] [code] -
PCF Learned Sort: a Learning Augmented Sort Algorithm with $\mathcal{O}(n \log\log n)$ Expected Complexity
Atsuki Sato, Yusuke Matsui, November 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C Event: iclr.cc/ICLR/2026/Journal_Track -
DNOD: Deformable Neural Operators for Object Detection in SAR Images
GVS Mothish, J Rishi, Shobhit Kumar Shukla, Deepak Subramani, November 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Neural Spatiotemporal Point Processes: Trends and Challenges
Sumantrak Mukherjee, Mouad Elhamdi, George Mohler, David Antony Selby, Yao Xie, Sebastian Josef Vollmer, Gerrit Großmann, November 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Encoder-only Next Token Prediction
Ethan Ewer, Daewon Chae, Thomas Zeng, Jinkyu Kim, Kangwook Lee, November 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Constrained Reinforcement Learning with Smoothed Log Barrier Function
Baohe Zhang, Yuan Zhang, Hao Zhu, Shengchao Yan, Thomas Brox, Joschka Boedecker, November 2025
[openreview] [pdf] [bib] [code] -
A Note On The Stability Of The Focal Loss
Martijn P. van Leeuwen, Koen V. Haak, Gorkem Saygili, Eric O. Postma, L.L. Sharon Ong, November 2025
[openreview] [pdf] [bib] [code] -
Quasipseudometric Value Functions with Dense Rewards
Khadichabonu Valieva, Bikramjit Banerjee, November 2025
[openreview] [pdf] [bib] [code] -
Thompson Sampling For Bandits With Cool-Down Periods
Jingxuan Zhu, Bin Liu, November 2025
[openreview] [pdf] [bib] -
Before Forgetting, There's Learning: Representation Learning Challenges in Online Unsupervised Continual Learning
Cameron Ethan Taylor, Shreyas Malakarjun Patil, Constantine Dovrolis, November 2025
[openreview] [pdf] [bib] [code] [video] -
Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields
Alexander Becker, Rodrigo Caye Daudt, Dominik Narnhofer, Torben Peters, Nando Metzger, Jan Dirk Wegner, Konrad Schindler, November 2025
[openreview] [pdf] [bib] [code] -
In-context Learning for Mixture of Linear Regression: Existence, Generalization and Training Dynamics
Yanhao Jin, Krishna Balasubramanian, Lifeng Lai, November 2025
[openreview] [pdf] [bib] -
Identification of Average Outcome under Interventions in Confounded Additive Noise Models
Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu, November 2025
[openreview] [pdf] [bib] -
Improving Adversarial Training for Two-player Competitive Games via Episodic Reward Engineering
Siyuan Chen, Fuyuan Zhang, Zhuo Li, Xiongfei Wu, Jianlang Chen, Pengzhan Zhao, Lei Ma, Jianjun Zhao, November 2025
[openreview] [pdf] [bib] -
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
Pham Phuoc Minh Quang, Nguyen Tiet Nguyen Khoi, Ngo Chi Lan, Do Tho Truong, Dezhen Song, Truong-Son Hy, October 2025
[openreview] [pdf] [bib] [code] [video] -
Weakly Supervised Object Segmentation by Background Conditional Divergence
Hassan Baker, Matthew Emigh, Austin J. Brockmeier, October 2025
[openreview] [pdf] [bib] [code] -
Efficient and Unbiased Sampling from Boltzmann Distributions via Variance-Tuned Diffusion Models
Fengzhe Zhang, Laurence Illing Midgley, José Miguel Hernández-Lobato, October 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning
Chao Han, Stefanos Ioannou, Luca Manneschi, T.J. Hayward, Michael Mangan, Aditya Gilra, Eleni Vasilaki, October 2025
[openreview] [pdf] [bib] [code] -
Differentiated Aggregation to Improve Generalization in Federated Learning
Peyman Gholami, Hulya Seferoglu, October 2025
[openreview] [pdf] [bib] [code] -
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection
Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda, October 2025
[openreview] [pdf] [bib] -
Analysis of generalization capacities of Neural Ordinary Differential Equations
Madhusudan Verma, Manoj Kumar, October 2025
[openreview] [pdf] [bib] [code] -
Robust Multimodal Learning via Cross-Modal Proxy Tokens
Md Kaykobad Reza, Ameya Patil, Mashhour Solh, Salman Asif, October 2025
[openreview] [pdf] [bib] [code] [video] -
Know Yourself and Know Your Neighbour : A Syntactically Informed Self-Supervised Compositional Sentence Representation Learning Framework using a Recursive Hypernetwork
Vasudevan Nedumpozhimana, John D. Kelleher, October 2025
[openreview] [pdf] [bib] [code] [video] -
Efficient Distillation of Classifier-Free Guidance using Adapters
Cristian Perez Jensen, Seyedmorteza Sadat, October 2025
[openreview] [pdf] [bib] [code] -
Expert Routing with Synthetic Data for Domain Incremental Learning
Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary Chase Lipton, October 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Mesh-Informed Neural Operator : A Transformer Generative Approach
Yaozhong Shi, Zachary E Ross, Domniki Asimaki, Kamyar Azizzadenesheli, October 2025
[openreview] [pdf] [bib] [code] -
Accelerated Training on Low-Power Edge Devices
Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Osama Abboud, Ramin Khalili, Heba Khdr, Joerg Henkel, October 2025
[openreview] [pdf] [bib] [code] -
On Joint Regularization and Calibration in Deep Ensembles
Laurits Fredsgaard, Mikkel N. Schmidt, October 2025
[openreview] [pdf] [bib] [code] -
Offline Learning and Forgetting for Reasoning with Large Language Models
Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor, October 2025
[openreview] [pdf] [bib] [code] -
Kernel Space Conditional Distribution Alignment for Improving Group Fairness in Deepfake Detection
Sayantan Das, Mojtaba Kolahdouzi, Ali Etemad, October 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective
Gabriel Mongaras, Eric C. Larson, October 2025
[openreview] [pdf] [bib] [code] [video] -
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
Amir Aghdam, Vincent Tao Hu, Björn Ommer, October 2025
[openreview] [pdf] [bib] [code] -
An Empirical Study of the Accuracy-Robustness Trade-off and Training Efficiency in Robust Self-Supervised Learning
Fatemeh Ghofrani, Mehdi Yaghouti, Pooyan Jamshidi, October 2025
[openreview] [pdf] [bib] [code] -
Geometric Optimal Transport for Unsupervised Domain Adaptation
Gal Maman, Ronen Talmon, October 2025
[openreview] [pdf] [bib] -
PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization
Nicolas Talabot, Olivier Clerc, Arda Cinar Demirtas, Hieu Le, Doruk Oner, Pascal Fua, October 2025
[openreview] [pdf] [bib] [code] -
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana, Mohan Kankanhalli, Rozita Dara, October 2025
[openreview] [pdf] [bib] -
Avoiding Structural Pitfalls: Self-Supervised Low-Rank Feature Tuning for Graph Test-Time Adaptation
Haoxiang Zhang, Zhuofeng Li, Qiannan Zhang, Ziyi Kou, Juncheng Li, Shichao Pei, October 2025
[openreview] [pdf] [bib] [code] -
Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning
Divyansh Jhunjhunwala, Pranay Sharma, Zheng Xu, Gauri Joshi, October 2025
[openreview] [pdf] [bib] -
LanPaint: Training-Free Diffusion Inpainting with Asymptotically Exact and Fast Conditional Sampling
Candi Zheng, Yuan Lan, Yang Wang, October 2025
[openreview] [pdf] [bib] [code] -
Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles
Zifu Wang, Junyi Zhu, Bo Tang, Zhiyu li, Feiyu Xiong, Jiaqian Yu, Matthew B. Blaschko, October 2025
[openreview] [pdf] [bib] [code] -
Mixture of Experts for Image Classification: What's the Sweet Spot?
Mathurin VIDEAU, Alessandro Leite, Marc Schoenauer, Olivier Teytaud, October 2025
[openreview] [pdf] [bib] -
ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence
Luoxiao Yang, Yun Wang, Xinqi Fan, Israel Cohen, jingdong chen, Zijun Zhang, October 2025
[openreview] [pdf] [bib] [code] -
Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods
Fabian Akkerman, Julien Ferry, Christian Artigues, Emmanuel Hebrard, Thibaut Vidal, October 2025
[openreview] [pdf] [bib] [code] -
Improved seeding strategies for k-means and k-GMM
Guillaume Carrière, Frederic Cazals, October 2025
[openreview] [pdf] [bib] [code] -
Diversity Augmentation of Dynamic User Preference Data for Boosting Personalized Text Summarizers
Parthiv Chatterjee, Shivam R Sonawane, Amey Hengle, Aditya Tanna, Sourish Dasgupta, Tanmoy Chakraborty, October 2025
[openreview] [pdf] [bib] [code] [video] -
Adversarial Surrogate Risk Bounds for Binary Classification
Natalie Frank, October 2025
[openreview] [pdf] [bib] -
Risk‑Seeking Reinforcement Learning via Multi‑Timescale EVaR Optimization
Deep Kumar Ganguly, Ajin George Joseph, Sarthak Girotra, Sirish Sekhar, October 2025
[openreview] [pdf] [bib] [code] -
Revisiting Contrastive Divergence for Density Estimation and Sample Generation
Azwar Abdulsalam, Joseph G. Makin, October 2025
[openreview] [pdf] [bib] [code] -
Tracking the Median of Gradients with a Stochastic Proximal Point Method
Fabian Schaipp, Guillaume Garrigos, Umut Simsekli, Robert M. Gower, October 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
What Time Tells Us? An Explorative Study of Time Awareness Learned from Static Images
Dongheng Lin, Han Hu, Jianbo Jiao, October 2025
[openreview] [pdf] [bib] [code] [video] -
Solving the Cold Start Problem on One's Own as an End User via Preference Transfer
Ryoma Sato, October 2025
[openreview] [pdf] [bib] -
Getting aligned on representational alignment
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J Cueva, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine Hermann, Kerem Oktar, Klaus Greff, Martin N Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus Robert Muller, Mariya Toneva, Thomas L. Griffiths, October 2025
[openreview] [pdf] [bib]
Certifications: Survey Written by Expert Reviewer -
A Hierarchical Nearest Neighbour Approach to Contextual Bandits
Stephen Pasteris, Madeleine Dwyer, Chris Hicks, Vasilios Mavroudis, October 2025
[openreview] [pdf] [bib] [code] -
Prior Specification for Exposure-based Bayesian Matrix Factorization
Zicong Zhu, Issei Sato, October 2025
[openreview] [pdf] [bib] -
GMAgent: A Graph-oriented Multi-agent Collaboration Framework for Text-attributed Graph Analysis
Hang Lv, Pengxiang Zhan, Yanchao Tan, Zixuan Guo, Shiping Wang, Carl Yang, October 2025
[openreview] [pdf] [bib] [code] -
Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks
Anas Jnini, Flavio Vella, October 2025
[openreview] [pdf] [bib] -
A Bias Correction Mechanism for Distributed Asynchronous Optimization
Yuan Gao, Yuki Takezawa, Sebastian U Stich, October 2025
[openreview] [pdf] [bib] -
Data Matters Most: Auditing Social Bias in Contrastive Vision–Language Models
Zahraa Al Sahili, Ioannis Patras, Matthew Purver, October 2025
[openreview] [pdf] [bib] [code] -
OmniInput: An Evaluation Framework for Deep Learning Models on Internet-Scale Data
Weitang Liu, Yuelei Li, Ying Wai Li, Zihan Wang, Yi-Zhuang You, Jingbo Shang, October 2025
[openreview] [pdf] [bib] -
Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models
Hung Le, Van Dai Do, Dung Nguyen, Svetha Venkatesh, October 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
AT4TS : Autotune for Time Series Foundation Models
Shivani Tomar, Seshu Tirupathi, Radu Marinescu, Elizabeth M. Daly, Ivana Dusparic, October 2025
[openreview] [pdf] [bib] -
Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents
Irene Testini, Lorenzo Pacchiardi, Jose Hernandez-Orallo, October 2025
[openreview] [pdf] [bib] -
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
Dániel Rácz, Mihaly Petreczky, Balint Daroczy, October 2025
[openreview] [pdf] [bib] -
Enabling Automatic Differentiation with Mollified Graph Neural Operators
Ryan Y. Lin, Julius Berner, Valentin Duruisseaux, David Pitt, Daniel Leibovici, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar, October 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Improved Localized Machine Unlearning Through the Lens of Memorization
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis, Daniel Rueckert, Gintare Karolina Dziugaite, Eleni Triantafillou, October 2025
[openreview] [pdf] [bib] [code] -
Expressiveness of Parametrized Distributions over DAGs for Causal Discovery
Simon Rittel, Sebastian Tschiatschek, October 2025
[openreview] [pdf] [bib] -
Bi-Mamba: Towards Accurate 1-Bit State Space Model
Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen, October 2025
[openreview] [pdf] [bib] -
AcademicEval: Live Long-Context LLM Benchmark
Haozhen Zhang, Tao Feng, Pengrui Han, Jiaxuan You, October 2025
[openreview] [pdf] [bib] [code] -
Meta-Learning Adaptive Loss Functions
Christian Raymond, Qi Chen, Bing XUE, Mengjie Zhang, October 2025
[openreview] [pdf] [bib] [code] -
Adversarial Bandits Against Arbitrary Strategies
Jung-hun Kim, Se-Young Yun, October 2025
[openreview] [pdf] [bib] -
Continual learning via probabilistic exchangeable sequence modelling
Hanwen Xing, Christopher Yau, October 2025
[openreview] [pdf] [bib] -
Concept Siever : Towards Controllable Erasure of Concepts from Diffusion Models without Side-effect
Aakash Kumar Singh, Priyam Dey, Sribhav Srivatsa, Venkatesh Babu Radhakrishnan, October 2025
[openreview] [pdf] [bib] -
Collaborative Compressors in Distributed Mean Estimation with Limited Communication Budget
Harsh Vardhan, Arya Mazumdar, October 2025
[openreview] [pdf] [bib] -
TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Models
Xin Jin, Yichuan Zhong, Yapeng Tian, October 2025
[openreview] [pdf] [bib] [code] -
AuToMATo: An Out-Of-The-Box Persistence-Based Clustering Algorithm
Marius Huber, Sara Kalisnik Hintz, Patrick Schnider, October 2025
[openreview] [pdf] [bib] [code] -
Learning Reward Machines from Partially Observed Policies
Mohamad Louai Shehab, Antoine Aspeel, Necmiye Ozay, October 2025
[openreview] [pdf] [bib] [code] [video] -
Enhancing Diversity in Text-to-Image Generation without Compromising Fidelity
Jiazhi Li, Mi Zhou, Mahyar Khayatkhoei, Jingyu Shi, Xiang Gao, Jiageng Zhu, Hanchen Xie, Xiyun Song, Zongfang Lin, Heather Yu, Jieyu Zhao, October 2025
[openreview] [pdf] [bib] -
Step-Controlled DPO: Leveraging Stepwise Errors for Enhancing Mathematical Reasoning of Language Models
Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Yunqiao Yang, Junting Pan, Mingjie Zhan, Hongsheng Li, October 2025
[openreview] [pdf] [bib] -
Temporal Test-Time Adaptation with State-Space Models
Mona Schirmer, Dan Zhang, Eric Nalisnick, October 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Dual Caption Preference Optimization for Diffusion Models
Amir Saeidi, Yiran Lawrence Luo, Agneet Chatterjee, Shamanthak Hegde, Bimsara Pathiraja, Yezhou Yang, Chitta Baral, October 2025
[openreview] [pdf] [bib] [code] -
Active Prompt Learning with Vision-Language Model Priors
Hoyoung Kim, Seokhee Jin, Changhwan Sung, Jaechang Kim, Jungseul Ok, October 2025
[openreview] [pdf] [bib] [code] -
Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations
Andrey Bochkov, October 2025
[openreview] [pdf] [bib] -
On Sparsity and Sub-Gaussianity in the Johnson- Lindenstrauss Lemma
Aurélien Garivier, Emmanuel Pilliat, October 2025
[openreview] [pdf] [bib] -
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach
João B. S. Carvalho, Víctor Jiménez Rodríguez, Alessandro Torcinovich, Antonio Emanuele Cinà, Carlos Cotrini, Lea Schönherr, Joachim M. Buhmann, October 2025
[openreview] [pdf] [bib] -
Bags of Projected Nearest Neighbours: Competitors to Random Forests?
David P. Hofmeyr, October 2025
[openreview] [pdf] [bib] [code] -
On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
Tai Le Gia, Jaehyun Ahn, October 2025
[openreview] [pdf] [bib] [code] -
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
Jiacheng Lin, Tian Wang, Kun Qian, October 2025
[openreview] [pdf] [bib] -
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach
Difan Deng, Marius Lindauer, October 2025
[openreview] [pdf] [bib] [code] -
AB-UPT: Scaling Neural CFD Surrogates for High- Fidelity Automotive Aerodynamics Simulations via Anchored- Branched Universal Physics Transformers
Benedikt Alkin, Maurits Bleeker, Richard Kurle, Tobias Kronlachner, Reinhard Sonnleitner, Matthias Dorfer, Johannes Brandstetter, October 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Learning to Be Cautious
Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, yash satsangi, Michael Bowling, October 2025
[openreview] [pdf] [bib] [code] [video] -
Recurrent Natural Policy Gradient for POMDPs
Semih Cayci, Atilla Eryilmaz, October 2025
[openreview] [pdf] [bib] -
Improving Single-round Active Adaptation: A Prediction Variability Perspective
Xiaoyang Wang, Yibo Jacky Zhang, Olawale Elijah Salaudeen, Mingyuan Wu, Hongpeng Guo, Chaoyang He, Klara Nahrstedt, Sanmi Koyejo, October 2025
[openreview] [pdf] [bib] -
Adapting Chat Language Models Using Only Target Unlabeled Language Data
Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, Nikolaos Aletras, October 2025
[openreview] [pdf] [bib] [code] -
FORTRESS: Fast, Tuning-Free Retrieval Ensemble for Scalable LLM Safety
Chi-Wei Chang, Richard Tzong-Han Tsai, October 2025
[openreview] [pdf] [bib] -
Pre-Training Representations of Binary Code Using Contrastive Learning
Yifan Zhang, Chen Huang, Yueke Zhang, Huajie Shao, Kevin Leach, Yu Huang, October 2025
[openreview] [pdf] [bib] [code] [video] -
Permissive Information-Flow Analysis for Large Language Models
Shoaib Ahmed Siddiqui, Radhika Gaonkar, Boris Köpf, David Krueger, Andrew Paverd, Ahmed Salem, Shruti Tople, Lukas Wutschitz, Menglin Xia, Santiago Zanella-Beguelin, October 2025
[openreview] [pdf] [bib] -
An Asymptotically Optimal Algorithm for the Convex Hull Membership Problem
Gang Qiao, Ambuj Tewari, October 2025
[openreview] [pdf] [bib] [code] -
PixelWorld: Towards Perceiving Everything as Pixels
Zhiheng Lyu, Xueguang Ma, Wenhu Chen, October 2025
[openreview] [pdf] [bib] -
Teaching Diffusion Models to Ground Alpha Matte
Tianyi Xiang, Weiying Zheng, Yutao Jiang, Tingrui Shen, Hewei Yu, Yangyang Xu, Shengfeng He, October 2025
[openreview] [pdf] [bib] [code] [video] -
On Convolutions, Intrinsic Dimension, and Diffusion Models
Kin Kwan Leung, Rasa Hosseinzadeh, Gabriel Loaiza-Ganem, October 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Equivalent Linear Mappings of Large Language Models
James Robert Golden, October 2025
[openreview] [pdf] [bib] [code] -
Where are we with calibration under dataset shift in image classification?
Mélanie Roschewitz, Raghav Mehta, Fabio De Sousa Ribeiro, Ben Glocker, October 2025
[openreview] [pdf] [bib] [code] -
Diversity-Enhanced and Classification-Aware Prompt Learning for Few-Shot Learning via Stable Diffusion
Gaoqin Chang, Jun Shu, Xiang Yuan, Deyu Meng, October 2025
[openreview] [pdf] [bib] [code] [video] -
Understanding Self-supervised Contrastive Learning through Supervised Objectives
Byeongchan Lee, October 2025
[openreview] [pdf] [bib] [code] -
Is isotropy a good proxy for generalization in time series forecasting with transformers?
Rashed Shelim, Shengzhe Xu, Walid Saad, Naren Ramakrishnan, October 2025
[openreview] [pdf] [bib] -
Explaining Bayesian Neural Networks
Kirill Bykov, Marina MC Höhne, Adelaida Creosteanu, Klaus Robert Muller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft, October 2025
[openreview] [pdf] [bib] [code] -
Multi-model Online Conformal Prediction with Graph-Structured Feedback
Erfan Hajihashemi, Yanning Shen, October 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD
Lea Demelius, Simone Kopeinik, Dominik Kowald, Roman Kern, Andreas Trügler, October 2025
[openreview] [pdf] [bib] [code] -
Exponential Scaling of Factual Inconsistency in Data-to-Text Generation with Fine-Tuned LLMs
Joy Mahapatra, Soumyajit Roy, Utpal Garain, October 2025
[openreview] [pdf] [bib] [code] [video] -
Differentially Private Clustered Federated Learning
Saber Malekmohammadi, Afaf Taik, Golnoosh Farnadi, October 2025
[openreview] [pdf] [bib] -
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni, October 2025
[openreview] [pdf] [bib] [code] -
EL-Clustering: Combining Upper- and Lower-Bounded Clusterings for Equitable Load Constraints
Rajni Dabas, Neelima Gupta, Rudra Bhardwaj, Sapna Grover, October 2025
[openreview] [pdf] [bib] [code] -
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning
Gaurav Chaudhary, Laxmidhar Behera, October 2025
[openreview] [pdf] [bib] -
Chimera: State Space Models Beyond Sequences
Aakash Lahoti, Tanya Marwah, Ratish Puduppully, Albert Gu, October 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Stochastic Primal-Dual Double Block-Coordinate for Two- way Partial AUC Maximization
Linli Zhou, Bokun Wang, My T. Thai, Tianbao Yang, October 2025
[openreview] [pdf] [bib] -
Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning
Jingcheng Niu, Subhabrata Dutta, Ahmed Elshabrawy, Harish Tayyar Madabushi, Iryna Gurevych, October 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations
Shuyuan Zhang, Zihan Wang, Xiao-Wen Chang, Doina Precup, October 2025
[openreview] [pdf] [bib] -
D2 Actor Critic: Diffusion Actor Meets Distributional Critic
Lunjun Zhang, Shuo Han, Hanrui Lyu, Bradly C. Stadie, October 2025
[openreview] [pdf] [bib] [video] -
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
Peter Van Katwyk, Karianne Bergen, October 2025
[openreview] [pdf] [bib] -
Pref-GUIDE: Continual Policy Learning from Real-Time Human Feedback via Preference-Based Learning
Zhengran Ji, Boyuan Chen, October 2025
[openreview] [pdf] [bib] [code] [video] -
VSCoDe: Visual-Augmentation Selection for Contrastive Decoding
Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun, October 2025
[openreview] [pdf] [bib] [video] -
Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing
Amin Jalali, Milad Soltany, Michael Greenspan, Ali Etemad, October 2025
[openreview] [pdf] [bib] [code] -
Activation sharding for scalable training of large models
Xingzi Xu, Amir Tavanaei, Kavosh Asadi, Karim Bouyarmane, October 2025
[openreview] [pdf] [bib] -
Reliable and Responsible Foundation Models
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao, October 2025
[openreview] [pdf] [bib]
Certifications: Survey -
MGPATH: A Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot Whole Slide Pathology Classification
Anh-Tien Nguyen, Duy Minh Ho Nguyen, Nghiem Tuong Diep, Trung Quoc Nguyen, Nhat Ho, Jacqueline Michelle Metsch, Miriam Cindy Maurer, Daniel Sonntag, Hanibal Bohnenberger, Anne-Christin Hauschild, October 2025
[openreview] [pdf] [bib] -
Adversarial Robustness of Graph Transformers
Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan Günnemann, October 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Capsule Network Projectors are Equivariant and Invariant Learners
Miles Everett, Aiden Durrant, Mingjun Zhong, Georgios Leontidis, October 2025
[openreview] [pdf] [bib] [code] -
Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
Emanuele Ballarin, Alessio ansuini, Luca Bortolussi, October 2025
[openreview] [pdf] [bib] [code] -
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
Lasse Elsemüller, Valentin Pratz, Mischa von Krause, Andreas Voss, Paul-Christian Bürkner, Stefan T. Radev, October 2025
[openreview] [pdf] [bib] [code] -
On diffusion posterior sampling via sequential Monte Carlo for zero-shot scaffolding of protein motifs
James Matthew Young, O. Deniz Akyildiz, October 2025
[openreview] [pdf] [bib] [code] -
Latent Trajectory: A New Framework for Deep Actor-Critic Reinforcement Learning with Uncertainty Quantification
Frank Shih, Faming Liang, October 2025
[openreview] [pdf] [bib] -
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
Yuxuan Bai, Gauri Pradhan, Marlon Tobaben, Antti Honkela, October 2025
[openreview] [pdf] [bib] [code] -
Sparse-to-Sparse Training of Diffusion Models
Inês Cardoso Oliveira, Decebal Constantin Mocanu, Luis A. Leiva, October 2025
[openreview] [pdf] [bib] [code] -
Unlearning Misalignment for Personalized LLM Adaptation via Instance-Response-Dependent Discrepancies
Cheng Chen, Atsushi Nitanda, Ivor Tsang, October 2025
[openreview] [pdf] [bib] [code] [video] -
Revisiting B2T: Discovering and Mitigating Visual Biases through Keyword Explanations
Faissal El Kayouhi, Aïda Asma, Joey Laarhoven, Fiona Nagelhout, October 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
Spectral Clustering and Labeling for Crowdsourcing with Inherently Distinct Task Types
Saptarshi Mandal, Seo Taek Kong, Dimitrios Katselis, R. Srikant, October 2025
[openreview] [pdf] [bib] [code] -
Contextual Combinatorial Bandits With Changing Action Sets Via Gaussian Processes
Andi Nika, Sepehr Elahi, Cem Tekin, October 2025
[openreview] [pdf] [bib] [code] -
PSC: Posterior Sampling-Based Compression
Noam Elata, Tomer Michaeli, Michael Elad, October 2025
[openreview] [pdf] [bib] [code] -
Temporal horizons in forecasting: a performance-learnability trade-off
Pau Vilimelis Aceituno, Jack William Miller, Noah Marti, Youssef Farag, Victor Boussange, October 2025
[openreview] [pdf] [bib] -
Coreset-Driven Re-Labeling: Tackling Noisy Annotations with Noise-Free Gradients
Saumyaranjan Mohanty, Konda Reddy Mopuri, October 2025
[openreview] [pdf] [bib] [code] [video] -
Large-Scale Targeted Cause Discovery via Learning from Simulated Data
Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho, October 2025
[openreview] [pdf] [bib] [code] -
A Case for Library-Level $k$-Means Binning in Histogram Gradient-Boosted Trees
Asher Labovich, October 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Generalized Smooth Stochastic Variational Inequalities: Almost Sure Convergence and Convergence Rates
Daniil Vankov, Angelia Nedich, Lalitha Sankar, October 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection
Padmaksha Roy, Almuatazbellah Boker, Lamine Mili, October 2025
[openreview] [pdf] [bib] [code] -
k-NN as a Simple and Effective Estimator of Transferability
Moein Sorkhei, Christos Matsoukas, Johan Fredin Haslum, Emir Konuk, Kevin Smith, October 2025
[openreview] [pdf] [bib] -
Balancing Utility and Privacy: Dynamically Private SGD with Random Projection
Zhanhong Jiang, Md Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar, October 2025
[openreview] [pdf] [bib] [code] -
Data-Driven Discovery of PDEs via the Adjoint Method
Mohsen Sadr, Tony Tohme, KAMAL YOUCEF-TOUMI, October 2025
[openreview] [pdf] [bib] [code] [video] -
Decomposed Direct Preference Optimization for Structure-Based Drug Design
Xiwei Cheng, Xiangxin Zhou, Yuwei Yang, Yu Bao, Quanquan Gu, October 2025
[openreview] [pdf] [bib] [code] -
Dependency-aware Maximum Likelihood Estimation for Active Learning
Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer Dy, October 2025
[openreview] [pdf] [bib] [code] -
Aggregating Algorithm and Axiomatic Loss Aggregation
Armando J Cabrera Pacheco, Rabanus Derr, Robert Williamson, September 2025
[openreview] [pdf] [bib] -
Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights
Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou, September 2025
[openreview] [pdf] [bib] -
Recursive SNE: Fast Prototype-Based t-SNE for Large-Scale and Online Data
Agil Aghasanli, Plamen P Angelov, September 2025
[openreview] [pdf] [bib] [code] -
Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization
Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi, September 2025
[openreview] [pdf] [bib] -
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
Nuojin Cheng, Alireza Doostan, Stephen Becker, September 2025
[openreview] [pdf] [bib] -
Efficient Reasoning Models: A Survey
Sicheng Feng, Gongfan Fang, Xinyin Ma, Xinchao Wang, September 2025
[openreview] [pdf] [bib] [code] -
Goal Recognition Design for General Behavioral Agents using Machine Learning
Robert Kasumba, Guanghui Yu, Chien-Ju Ho, Sarah Keren, William Yeoh, September 2025
[openreview] [pdf] [bib] [code] -
FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection
Yuchen Shen, Haomin Wen, Leman Akoglu, September 2025
[openreview] [pdf] [bib] [code] -
Flow-Attentional Graph Neural Networks
Pascal Plettenberg, Dominik Köhler, Bernhard Sick, Josephine Thomas, September 2025
[openreview] [pdf] [bib] [code] -
A Comprehensive Survey on Knowledge Distillation
Amir M. Mansourian, Rozhan Ahmadi, Masoud Ghafouri, Amir Mohammad Babaei, Elaheh Badali Golezani, Zeynab yasamani ghamchi, Vida Ramezanian, Alireza Taherian, Kimia Dinashi, Amirali Miri, Shohreh Kasaei, September 2025
[openreview] [pdf] [bib] [code] -
Continual Pre-training of MoEs: How robust is your router?
Benjamin Thérien, Charles-Étienne Joseph, Zain Sarwar, Ashwinee Panda, Anirban Das, Shi-Xiong Zhang, Stephen Rawls, Sambit Sahu, Eugene Belilovsky, Irina Rish, September 2025
[openreview] [pdf] [bib] -
Exponential tilting of subweibull distributions
F. William Townes, September 2025
[openreview] [pdf] [bib] -
Language-assisted Feature Representation and Lightweight Active Learning For On-the-Fly Category Discovery
Anwesha Banerjee, Soma Biswas, September 2025
[openreview] [pdf] [bib] [code] [video] -
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation
Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao, Min Lin, September 2025
[openreview] [pdf] [bib] -
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
Yupeng Chen, Senmiao Wang, Yushun Zhang, Zhihang Lin, Haozhe Zhang, Weijian Sun, Tian Ding, Ruoyu Sun, September 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design
Onur Boyar, Hiroyuki Hanada, Ichiro Takeuchi, September 2025
[openreview] [pdf] [bib] [code] -
Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model
Yueqin Yin, Shentao Yang, Yujia Xie, Ziyi Yang, Yuting Sun, Hany Hassan Awadalla, Weizhu Chen, Mingyuan Zhou, September 2025
[openreview] [pdf] [bib] [code] -
Cross-Domain Graph Anomaly Detection via Test-Time Training with Homophily-Guided Self-Supervision
Delaram Pirhayatifard, Arlei Silva, September 2025
[openreview] [pdf] [bib]
Certifications: Event: logconference.org/LoG/2025/Journal_Track -
Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models
Jan Wehner, Sahar Abdelnabi, Daniel Tan, David Krueger, Mario Fritz, September 2025
[openreview] [pdf] [bib] [video]
Certifications: Survey -
Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation
Franz A. Heinsen, Leo Kozachkov, September 2025
[openreview] [pdf] [bib] -
The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time
John Martinsson, Tuomas Virtanen, Maria Sandsten, Olof Mogren, September 2025
[openreview] [pdf] [bib] -
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud
Mengxi Wu, Hao Huang, Yi Fang, Mohammad Rostami, September 2025
[openreview] [pdf] [bib] [code] -
Simple and Nearly-Optimal Sampling for Rank-1 Tensor Completion via Gauss-Jordan
Alejandro Gomez-Leos, Oscar Lopez, September 2025
[openreview] [pdf] [bib] -
Local Distribution-Based Adaptive Oversampling for Imbalanced Regression
Shayan Alahyari, Mike Domaratzki, September 2025
[openreview] [pdf] [bib] -
LLMs can learn self-restraint through iterative self-reflection
Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Christopher Pal, September 2025
[openreview] [pdf] [bib] -
VColRL: Learn to solve the Vertex Coloring Problem using Reinforcement Learning
Abhinav Anand, Subrahmanya Swamy Peruru, Amitangshu Pal, September 2025
[openreview] [pdf] [bib] [code] [video] -
LIT-LVM: Structured Regularization for Interaction Terms in Linear Predictors using Latent Variable Models
Mohammadreza Nemati, Zhipeng Huang, Kevin S. Xu, September 2025
[openreview] [pdf] [bib] [code] -
Survey of Video Diffusion Models: Foundations, Implementations, and Applications
Yimu Wang, Xuye Liu, Wei Pang, Li Ma, Shuai Yuan, Paul Debevec, Ning Yu, September 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models
Jingming Liu, Yumeng Li, Boyuan Xiao, Yichang Jian, Ziang Qin, Tianjia Shao, Yao-Xiang Ding, Kun Zhou, September 2025
[openreview] [pdf] [bib] -
Wolf: Dense Video Captioning with a World Summarization Framework
Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone, September 2025
[openreview] [pdf] [bib] -
Model Guidance via Robust Feature Attribution
Mihnea Ghitu, Vihari Piratla, Matthew Robert Wicker, September 2025
[openreview] [pdf] [bib] -
DRDT3: Diffusion-Refined Decision Test-Time Training Model
Xingshuai Huang, Di Wu, Benoit Boulet, September 2025
[openreview] [pdf] [bib]
Certifications: Reproducibility -
Learning to Rank with Top-$K$ Fairness
Boyang Zhang, Quanqi Hu, Mingxuan Sun, Qihang Lin, Tianbao Yang, September 2025
[openreview] [pdf] [bib] [code] -
Characterizing Vision Backbones for Dense Prediction with Dense Attentive Probing
Timo Lüddecke, Alexander S. Ecker, September 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets
Dominic Phillips, Flaviu Cipcigan, September 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
Open Problems in Mechanistic Interpretability
Lee Sharkey, Bilal Chughtai, Joshua Batson, Jack Lindsey, Jeffrey Wu, Lucius Bushnaq, Nicholas Goldowsky-Dill, Stefan Heimersheim, Alejandro Ortega, Joseph Isaac Bloom, Stella Biderman, Adrià Garriga-Alonso, Arthur Conmy, Neel Nanda, Jessica Mary Rumbelow, Martin Wattenberg, Nandi Schoots, Joseph Miller, William Saunders, Eric J Michaud, Stephen Casper, Max Tegmark, David Bau, Eric Todd, Atticus Geiger, Mor Geva, Jesse Hoogland, Daniel Murfet, Thomas McGrath, September 2025
[openreview] [pdf] [bib]
Certifications: Survey -
A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation
Dario Serez, Marco Cristani, Alessio Del Bue, Vittorio Murino, Pietro Morerio, September 2025
[openreview] [pdf] [bib] [code] -
Simplifying Knowledge Transfer in Pretrained Models
Siddharth Jain, Shyamgopal Karthik, Vineet Gandhi, September 2025
[openreview] [pdf] [bib] [code] [video] -
An Information-Theoretic Lower Bound on the Generalization Error of Autoencoders
Shyam Venkatasubramanian, Sean Moushegian, Ahmed Aloui, Vahid Tarokh, September 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured Event: iclr.cc/ICLR/2026/Journal_Track -
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm
Amir Ali Farzin, Yuen-Man Pun, Philipp Braun, Antoine Lesage-Landry, Youssef Diouane, Iman Shames, September 2025
[openreview] [pdf] [bib] [code] -
Learning Robust Representations for Visual Reinforcement Learning via Task-Relevant Mask Sampling
Vedant Dave, Ozan Özdenizci, Elmar Rueckert, September 2025
[openreview] [pdf] [bib] -
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs
Emilia Magnani, Nicholas Krämer, Runa Eschenhagen, Lorenzo Rosasco, Philipp Hennig, September 2025
[openreview] [pdf] [bib] -
GROOD: GRadient-Aware Out-of-Distribution Detection
Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull, September 2025
[openreview] [pdf] [bib] [code] [video] -
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation
Xuyi Meng, Chen Wang, Jiahui Lei, Kostas Daniilidis, Jiatao Gu, Lingjie Liu, September 2025
[openreview] [pdf] [bib] -
A noise-corrected Langevin algorithm and sampling by half-denoising
Aapo Hyvarinen, September 2025
[openreview] [pdf] [bib] -
Two Is Better Than One: Aligned Representation Pairs for Anomaly Detection
Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E Vogt, September 2025
[openreview] [pdf] [bib] [code] -
NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information Densities
Mo Li, Songyang Zhang, Taolin Zhang, Haodong Duan, Yunxin Liu, Kai Chen, September 2025
[openreview] [pdf] [bib] [code] -
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients
Stefano Bruno, Sotirios Sabanis, September 2025
[openreview] [pdf] [bib] -
Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy
Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian, September 2025
[openreview] [pdf] [bib] [code] [video] -
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training
Hiroki Naganuma, Xinzhi Zhang, Man-Chung Yue, Ioannis Mitliagkas, Russell J. Hewett, Philipp Andre Witte, Yin Tat Lee, September 2025
[openreview] [pdf] [bib] [code] -
Structural Causal Circuits: Probabilistic Circuits Climbing All Rungs of Pearl's Ladder of Causation
Florian Peter Busch, Moritz Willig, Matej Zečević, Kristian Kersting, Devendra Singh Dhami, September 2025
[openreview] [pdf] [bib] [code] -
Global Optimization Algorithm through High-Resolution Sampling
Daniel Cortild, Claire Delplancke, Nadia Oudjane, Juan Peypouquet, September 2025
[openreview] [pdf] [bib] [code] -
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels Wouda, Leon Lan, Junyoung Park, Kevin Tierney, Jinkyoo Park, September 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Low Compute Unlearning via Sparse Representations
Vedant Shah, Frederik Träuble, Ashish Malik, Hugo Larochelle, Michael Curtis Mozer, Sanjeev Arora, Yoshua Bengio, Anirudh Goyal, September 2025
[openreview] [pdf] [bib] -
CoNNect: Connectivity-Based Regularization for Structural Pruning of Neural Networks
Christian P.C. Franssen, Jinyang Jiang, Yijie Peng, Bernd Heidergott, September 2025
[openreview] [pdf] [bib] [code] -
Amdahl’s Law for LLMs: A Throughput-Centric Analysis of Extreme LLM Quantization
Jinendra Malekar, Ramtin Zand, September 2025
[openreview] [pdf] [bib] -
Double Machine Learning Based Structure Identification from Temporal Data
Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer, September 2025
[openreview] [pdf] [bib] [code] -
Byzantine-Robust and Hessian-Free Federated Bilevel Optimization
Shruti P Maralappanavar, Bharath B N, September 2025
[openreview] [pdf] [bib] -
Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
Huaiyuan Qin, Muli Yang, Siyuan Hu, Peng Hu, Yu Zhang, Chen Gong, Hongyuan Zhu, September 2025
[openreview] [pdf] [bib] -
Understanding Emergent In-Context Learning from a Kernel Regression Perspective
Chi Han, Ziqi Wang, Han Zhao, Heng Ji, September 2025
[openreview] [pdf] [bib] [code] -
Unveiling Multiple Descents in Unsupervised Autoencoders
Kobi Rahimi, Yehonathan Refael, Tom Tirer, Ofir Lindenbaum, September 2025
[openreview] [pdf] [bib] -
Uncertainty Quantification in Retrieval Augmented Question Answering
Laura Perez-Beltrachini, Mirella Lapata, September 2025
[openreview] [pdf] [bib] [code] [video] -
Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework
Nina Wiedemann, Sainan Liu, Quentin Leboutet, Katelyn Gao, Benjamin Ummenhofer, Michael Paulitsch, Kai Yuan, September 2025
[openreview] [pdf] [bib] [code] [video] -
Solution Augmentation for ARC Problems Using GFlowNet: A Probabilistic Exploration Approach
Sanha Hwang, Seungpil Lee, Sejin Kim, Sundong Kim, September 2025
[openreview] [pdf] [bib] [code] [video] -
M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations
Bo Lei, Victor M Castillo, Yeping Hu, September 2025
[openreview] [pdf] [bib] -
DNR-Pruning: Sparsity-Aware Pruning via Dying Neuron Reactivation in Convolutional Neural Networks
Boyuan Wang, Richard Jiang, September 2025
[openreview] [pdf] [bib] [code] [video] -
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
Kai Yi, Georg Meinhardt, Laurent Condat, Peter Richtárik, September 2025
[openreview] [pdf] [bib] -
Efficient Object-Centric Representation Learning using Masked Generative Modeling
Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo, September 2025
[openreview] [pdf] [bib] -
COMMA: A Communicative Multimodal Multi-Agent Benchmark
Timothy Ossowski, Danyal Maqbool, Jixuan Chen, Zefan Cai, Tyler J. Bradshaw, Junjie Hu, September 2025
[openreview] [pdf] [bib] [code] -
Label Embedding via Low-Coherence Matrices
Jianxin Zhang, Clayton Scott, September 2025
[openreview] [pdf] [bib] [code] -
Studying memorization of large language models using answers to Stack Overflow questions
Laura Caspari, Alexander Trautsch, Michael Granitzer, Steffen Herbold, September 2025
[openreview] [pdf] [bib] [code] -
Doubly Robust Uncertainty Quantification for Quantile Treatment Effects in Sequential Decision Making
Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song, September 2025
[openreview] [pdf] [bib] [code] -
HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction
Chen Bao, Jiarui Xu, Xiaolong Wang, Abhinav Gupta, Homanga Bharadhwaj, September 2025
[openreview] [pdf] [bib] [code] -
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman-Kac Formula
Naoufal EL BEKRI, Lucas Drumetz, Franck Vermet, September 2025
[openreview] [pdf] [bib] [code] -
Mean-Field RL for Large-Scale Unit-Capacity Pickup-and-Delivery Problems
Kai Cui, Sharif Azem, Christian Fabian, Kirill Kuroptev, Ramin Khalili, Osama Abboud, Florian Steinke, Heinz Koeppl, September 2025
[openreview] [pdf] [bib] [code] -
Solving Inverse Problems using Diffusion with Iterative Colored Renoising
Matthew C Bendel, Saurav K Shastri, Rizwan Ahmad, Philip Schniter, September 2025
[openreview] [pdf] [bib] [code] -
Understanding the learned look-ahead behavior of chess neural networks
Diogo Cruz, September 2025
[openreview] [pdf] [bib] [code] -
The Overcooked Generalisation Challenge: Evaluating Cooperation with Novel Partners in Unknown Environments Using Unsupervised Environment Design
Constantin Ruhdorfer, Matteo Bortoletto, Anna Penzkofer, Andreas Bulling, September 2025
[openreview] [pdf] [bib] -
Single-positive Multi-label Learning with Label Cardinality
Shayan Gharib, Pierre-Alexandre Murena, Arto Klami, September 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning
Pingcheng Jian, Xiao Wei, Yanbaihui Liu, Samuel A. Moore, Michael M. Zavlanos, Boyuan Chen, September 2025
[openreview] [pdf] [bib] [code] [video] -
Text to Stealthy Adversarial Face Masks
Ben Lewis, Thomas Moyse, James Parkinson, Elizabeth Telford, Callum Whitfield, Ranko Lazic, September 2025
[openreview] [pdf] [bib] [code] [video] -
Discrete Audio Tokens: More Than a Survey!
Pooneh Mousavi, Gallil Maimon, Adel Moumen, Darius Petermann, Jiatong Shi, Haibin Wu, Haici Yang, Anastasia Kuznetsova, Artem Ploujnikov, Ricard Marxer, Bhuvana Ramabhadran, Benjamin Elizalde, Loren Lugosch, Jinyu Li, Cem Subakan, Phil Woodland, Minje Kim, Hung-yi Lee, Shinji Watanabe, Yossi Adi, Mirco Ravanelli, September 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection
Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li, September 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Tree Search for Language Model Agents
Jing Yu Koh, Stephen Marcus McAleer, Daniel Fried, Ruslan Salakhutdinov, September 2025
[openreview] [pdf] [bib] [code] -
System-2 Mathematical Reasoning via Enriched Instruction Tuning
Huanqia Cai, Yijun Yang, Zhifeng Li, September 2025
[openreview] [pdf] [bib] -
Beyond ordinary Lipschitz constraints: Differentially Private optimization with TNC
Difei Xu, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang, September 2025
[openreview] [pdf] [bib] -
Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation
Or Tal, Felix Kreuk, Yossi Adi, September 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation
Tsiry Mayet, Simon Bernard, Romain HÉRAULT, Clement Chatelain, September 2025
[openreview] [pdf] [bib] -
Continuous Language Model Interpolation yields Dynamic and Controllable Text Generation
Sara Kangaslahti, David Alvarez-Melis, September 2025
[openreview] [pdf] [bib] [code] [video] -
Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference
Shuichi Nishino, Tomohiro Shiraishi, Teruyuki Katsuoka, Ichiro Takeuchi, September 2025
[openreview] [pdf] [bib] [code] -
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution
Naoki Yoshida, Shogo Nakakita, Masaaki Imaizumi, September 2025
[openreview] [pdf] [bib] [code] [video] -
Complementarity: Toward Better Metrics and Optimizing Data Efficiency in LLMs
Roy Siegelmann, September 2025
[openreview] [pdf] [bib] -
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis, September 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Reinforcement Learning from Human Feedback with Active Queries
Kaixuan Ji, Jiafan He, Quanquan Gu, September 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C -
Learning the Language of Protein Structure
Jérémie DONA, Benoit Gaujac, Timothy Atkinson, Liviu Copoiu, Thomas Pierrot, Thomas D Barrett, September 2025
[openreview] [pdf] [bib] -
Certified Robustness to Data Poisoning in Gradient-Based Training
Philip Sosnin, Mark Niklas Mueller, Maximilian Baader, Calvin Tsay, Matthew Robert Wicker, September 2025
[openreview] [pdf] [bib] [code] -
MoReact: Generating Reactive Motion from Textual Descriptions
Xiyan Xu, Sirui Xu, Yu-Xiong Wang, Liangyan Gui, September 2025
[openreview] [pdf] [bib] -
SELU: Self-Learning Embodied Multimodal Large Language Models in Unknown Environments
Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu, September 2025
[openreview] [pdf] [bib] -
Behaviour Discovery and Attribution for Explainable Reinforcement Learning
Rishav Rishav, Somjit Nath, Vincent Michalski, Samira Ebrahimi Kahou, September 2025
[openreview] [pdf] [bib] -
Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions
Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya, September 2025
[openreview] [pdf] [bib] [code] [video] -
Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning
Chulabhaya Wijesundara, Andrea Baisero, Gregory David Castanon, Alan S Carlin, Robert Platt, Christopher Amato, September 2025
[openreview] [pdf] [bib] -
Learning Equivalence Classes of Bayesian Network Structures with GFlowNet
Michelle Liu, Zhaocheng Zhu, Olexa Bilaniuk, Emmanuel Bengio, September 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization
Shashank Agnihotri, Julian Yuya Caspary, Luca Schwarz, Xinyan Gao, Jenny Schmalfuss, Andres Bruhn, Margret Keuper, September 2025
[openreview] [pdf] [bib] [code] [video] -
Unbiased Loss Functions for Multilabel Classification with Missing Labels
Erik Schultheis, Rohit Babbar, September 2025
[openreview] [pdf] [bib] [code] -
Efficient pooling of predictions via kernel embeddings
Sam Allen, David Ginsbourger, Johanna Ziegel, August 2025
[openreview] [pdf] [bib] [code] -
Using Platt’s scaling for calibration after undersampling — limitations and how to address them
Nathan Phelps, Daniel J Lizotte, Douglas G. Woolford, August 2025
[openreview] [pdf] [bib] [code] -
Spurious Privacy Leakage in Neural Networks
Chenxiang Zhang, Jun Pang, Sjouke Mauw, August 2025
[openreview] [pdf] [bib] [code] -
ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment
Tomer Borreda, Daniel Freedman, Or Litany, August 2025
[openreview] [pdf] [bib] [code] -
Graph Personalized Federated Learning via Client Network Learning
Jiachen Zhou, Han Xie, Carl Yang, August 2025
[openreview] [pdf] [bib] [code] -
On the Low-Rank Parametrization of Reward Models for Controlled Language Generation
Sergey Troshin, Vlad Niculae, Antske Fokkens, August 2025
[openreview] [pdf] [bib] [code] -
Change Point Detection on A Separable Model for Dynamic Networks
Yik Lun Kei, Hangjian Li, Yanzhen Chen, OSCAR HERNAN MADRID PADILLA, August 2025
[openreview] [pdf] [bib] [code] [video] -
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
Xingshuai Huang, Di Wu, Benoit Boulet, August 2025
[openreview] [pdf] [bib] -
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality
Shaocong Ma, Ziyi Chen, Yi Zhou, Heng Huang, August 2025
[openreview] [pdf] [bib] -
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Bac Nguyen, Stefano Ermon, Yuki Mitsufuji, August 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Mamba State-Space Models Are Lyapunov-Stable Learners
John Timothy Halloran, Manbir S Gulati, Paul F Roysdon, August 2025
[openreview] [pdf] [bib] -
Cardinality Sparsity: Applications in Matrix-Matrix Multiplications and Machine Learning
Ali Mohaddes, Johannes Lederer, August 2025
[openreview] [pdf] [bib] -
On Time Series Clustering with Graph Neural Networks
Jonas Berg Hansen, Andrea Cini, Filippo Maria Bianchi, August 2025
[openreview] [pdf] [bib] [code] -
Variance Reduced Smoothed Functional REINFORCE Policy Gradient Algorithms
Shalabh Bhatnagar, Deepak H R, August 2025
[openreview] [pdf] [bib] [video] -
Streaming Heteroscedastic Probabilistic PCA with Missing Data
Kyle Gilman, David Hong, Jeffrey A Fessler, Laura Balzano, August 2025
[openreview] [pdf] [bib] [code] -
Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits
Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda, August 2025
[openreview] [pdf] [bib]
Certifications: J2C -
TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering
Zhuo Zhi, Chen Feng, Adam Daneshmend, Mine Orlu, Andreas Demosthenous, Lu Yin, Da Li, Ziquan Liu, Miguel R. D. Rodrigues, August 2025
[openreview] [pdf] [bib] -
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F Jaeger, Fabian Isensee, Klaus Maier-Hein, August 2025
[openreview] [pdf] [bib] [code] -
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
Muxing Wang, Pengkun Yang, Lili Su, August 2025
[openreview] [pdf] [bib] -
MobileCLIP2: Improving Multi-Modal Reinforced Training
Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Alexander T Toshev, Oncel Tuzel, Hadi Pouransari, August 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C Event: iclr.cc/ICLR/2026/Journal_Track -
[Re] Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
Oliver van Erven, Konstantinos Zafeirakis, Jacobus Smit, Julio Smidi, Luc Buijs, August 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition
Yifan Lan, Cai xin, Jun Cheng, Shan Tan, August 2025
[openreview] [pdf] [bib] -
Can Masked Autoencoders Also Listen to Birds?
Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz, August 2025
[openreview] [pdf] [bib] [code] -
Factor Learning Portfolio Optimization Informed by Continuous-Time Finance Models
Sinong Geng, Houssam Nassif, Zhaobin Kuang, Anders Max Reppen, K. Ronnie Sircar, August 2025
[openreview] [pdf] [bib] -
Private Regression via Data-Dependent Sufficient Statistic Perturbation
Cecilia Ferrando, Daniel Sheldon, August 2025
[openreview] [pdf] [bib] [code] -
FraGNNet: A Deep Probabilistic Model for Tandem Mass Spectrum Prediction
Adamo Young, Fei Wang, David Wishart, BO WANG, Russell Greiner, Hannes Rost, August 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models
Evelyn Mannix, Howard Bondell, August 2025
[openreview] [pdf] [bib] [code] -
Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations
Avi Cooper, Daniel Harari, Tomotake Sasaki, Spandan Madan, Hanspeter Pfister, Pawan Sinha, Xavier Boix, August 2025
[openreview] [pdf] [bib] [code] -
Transferring Reasoning Capabilities between LLMs operating via Curriculum Learning Policy
Leonardo Ranaldi, Giulia Pucci, Fabio Massimo Zanzotto, August 2025
[openreview] [pdf] [bib] -
Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature
Rohan Asthana, Joschua Conrad, Maurits Ortmanns, Vasileios Belagiannis, August 2025
[openreview] [pdf] [bib] [code] -
Differentiable Causal Discovery of Linear Non-Gaussian Acyclic Models Under Unmeasured Confounding
Yoshimitsu Morinishi, Shohei Shimizu, August 2025
[openreview] [pdf] [bib] [code] -
Rollout Total Correlation for Deep Reinforcement Learning
Bang You, Huaping Liu, Jan Peters, Oleg Arenz, August 2025
[openreview] [pdf] [bib]
Certifications: J2C -
PrivShap: A Finer-granularity Network Linearization Method for Private Inference
Xiangrui Xu, Zhenzhen Wang, Rui Ning, Chunsheng Xin, Hongyi Wu, August 2025
[openreview] [pdf] [bib] -
Enhancing Plaque Segmentation in CCTA with Prompt- based Diffusion Data Augmentation
Ruan Yizhe, Xuangeng Chu, Ziteng Cui, Yusuke Kurose, JUNICHI IHO, Yoji Tokunaga, Makoto Horie, YUSAKU HAYASHI, Keisuke Nishizawa, Yasushi Koyama, Tatsuya Harada, August 2025
[openreview] [pdf] [bib] [code] -
Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language Models
Paul Darm, Annalisa Riccardi, August 2025
[openreview] [pdf] [bib] [code] -
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis
Kushal Raj Bhandari, Sixue Xing, Soham Dan, Jianxi Gao, August 2025
[openreview] [pdf] [bib] [code] -
A Unified Approach Towards Active Learning and Out-of-Distribution Detection
Sebastian Schmidt, Leonard Schenk, Leo Schwinn, Stephan Günnemann, August 2025
[openreview] [pdf] [bib] [code] -
Client-only Distributed Markov Chain Monte Carlo Sampling over a Network
Bo Yuan, Jiaojiao Fan, Jiaming Liang, Yongxin Chen, August 2025
[openreview] [pdf] [bib] -
Hierarchical Language Model Design For Interpretable Graph Reasoning
Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji, August 2025
[openreview] [pdf] [bib] -
Genetic-Evolutionary Graph Neural Networks: A Paradigm for Improved Graph Representation Learning
Haimin ZHANG, Min Xu, August 2025
[openreview] [pdf] [bib] [code] -
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems
Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine A Lebel, John T. Lysack, Leslie Salgado, Emma A.M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Mark Ungrin, Marina Gavrilova, Mariana Bento, August 2025
[openreview] [pdf] [bib] -
Slicing the Gaussian Mixture Wasserstein Distance
Moritz Piening, Robert Beinert, August 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
On the Challenges and Opportunities in Generative AI
Laura Manduchi, Clara Meister, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin, August 2025
[openreview] [pdf] [bib]
Certifications: Survey -
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection
Leonid Boytsov, Ameya Joshi, Filipe Condessa, August 2025
[openreview] [pdf] [bib] -
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs
Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, August 2025
[openreview] [pdf] [bib] -
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
Nurbek Tastan, Samuel Horváth, Karthik Nandakumar, August 2025
[openreview] [pdf] [bib] [code] -
Risk-controlling Prediction with Distributionally Robust Optimization
Franck Iutzeler, Adrien Mazoyer, August 2025
[openreview] [pdf] [bib] [code] -
A Proximal Operator for Inducing 2:4-Sparsity
Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis, August 2025
[openreview] [pdf] [bib] -
Hodge-Aware Convolutional Learning on Simplicial Complexes
Maosheng Yang, Geert Leus, Elvin Isufi, August 2025
[openreview] [pdf] [bib] -
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogerio Feris, Leonid Karlinsky, James R. Glass, August 2025
[openreview] [pdf] [bib] [code] -
ABC: Achieving Better Control of Visual Embeddings using VLLMs
Benjamin Schneider, Florian Kerschbaum, Wenhu Chen, August 2025
[openreview] [pdf] [bib] -
Spatio-temporal Partial Sensing Forecast of Long-term Traffic
Zibo Liu, Zhe Jiang, Zelin Xu, Tingsong Xiao, Zhengkun Xiao, Yupu Zhang, Haibo Wang, Shigang Chen, August 2025
[openreview] [pdf] [bib] [code] -
DiffCLIP: Differential Attention Meets CLIP
Hasan Abed Al Kader Hammoud, Bernard Ghanem, August 2025
[openreview] [pdf] [bib] -
On the Role of Discrete Representation in Sparse Mixture of Experts
Giang Do, Kha Pham, Hung Le, Truyen Tran, August 2025
[openreview] [pdf] [bib] [code] [video] -
RefDeblur: Blind Motion Deblurring with Self-Generated Reference Image
Insoo Kim, Geonseok Seo, Hyong-Euk Lee, Jinwoo Shin, August 2025
[openreview] [pdf] [bib] -
Enhancing Cost Efficiency in Active Learning with Candidate Set Query
Yeho Gwon, Sehyun Hwang, Hoyoung Kim, Jungseul Ok, Suha Kwak, August 2025
[openreview] [pdf] [bib] [code] [video] -
TRIDE: A Text-assisted Radar-Image weather-aware fusion network for Depth Estimation
Huawei Sun, Zixu Wang, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille, August 2025
[openreview] [pdf] [bib] -
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
Mishal Fatima, Steffen Jung, Margret Keuper, August 2025
[openreview] [pdf] [bib] [code] -
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
Abhay Sheshadri, Aidan Ewart, Phillip Huang Guo, Aengus Lynch, Cindy Wu, Vivek Hebbar, Henry Sleight, Asa Cooper Stickland, Ethan Perez, Dylan Hadfield-Menell, Stephen Casper, August 2025
[openreview] [pdf] [bib] [code] -
Registers in Small Vision Transformers: A Reproducibility Study of Vision Transformers Need Registers
Linus Ruben Bach, Emma Bakker, Rénan van Dijk, Jip de Vries, Konrad Szewczyk, August 2025
[openreview] [pdf] [bib] -
How Can Knowledge of a Task’s Modular Structure Improve Generalization and Training Efficiency?
Shreyas Malakarjun Patil, Cameron Ethan Taylor, Constantine Dovrolis, August 2025
[openreview] [pdf] [bib] [code] -
AlignFix: Fixing Adversarial Perturbations by Agreement Checking for Adversarial Robustness against Black-box Attacks
Ashutosh Kumar Nirala, Jin Tian, Olukorede Fakorede, Modeste Atsague, August 2025
[openreview] [pdf] [bib] [code] -
Modeling Human Beliefs about AI Behavior for Scalable Oversight
Leon Lang, Patrick Forré, August 2025
[openreview] [pdf] [bib] -
From Reasoning to Learning: A Survey on Hypothesis Discovery and Rule Learning with Large Language Models
Kaiyu He, Zhiyu Chen, August 2025
[openreview] [pdf] [bib]
Certifications: Survey -
CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization
Yanxia Deng, Aozhong Zhang, Selcuk Gurses, Naigang Wang, Zi Yang, Penghang Yin, August 2025
[openreview] [pdf] [bib] -
2SSP: A Two-Stage Framework for Structured Pruning of LLMs
Fabrizio Sandri, Elia Cunegatti, Giovanni Iacca, August 2025
[openreview] [pdf] [bib] [code] -
High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation
Chris L Camaño, Daniel Huang, August 2025
[openreview] [pdf] [bib] [code] -
Clustering-Based Validation Splits for Model Selection under Domain Shift
Andrea Napoli, Paul White, August 2025
[openreview] [pdf] [bib] -
Enabling Users to Falsify Deepfake Attacks
Tal Reiss, Bar Cavia, Yedid Hoshen, August 2025
[openreview] [pdf] [bib] [code] -
LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration
Md. Ismail Hossain, M M Lutfe Elahi, Sameera Ramasinghe, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman, August 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
Task Diversity Shortens the In-Context Learning Plateau
Jaeyeon Kim, Sehyun Kwon, Joo Young Choi, Jongho Park, Jaewoong Cho, Jason D. Lee, Ernest K. Ryu, August 2025
[openreview] [pdf] [bib] [code] -
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives
Armin Saghafian, Amirmohammad Izadi, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, August 2025
[openreview] [pdf] [bib] [code] [video] -
Unifying Self-Supervised Clustering and Energy-Based Models
Emanuele Sansone, Robin Manhaeve, August 2025
[openreview] [pdf] [bib] [code] -
MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment
Barak Pinkovich, Boaz Matalon, Ehud Rivlin, Hector Rotstein, August 2025
[openreview] [pdf] [bib] [code] -
Combining Machine Learning Defenses without Conflicts
Vasisht Duddu, Rui Zhang, N. Asokan, August 2025
[openreview] [pdf] [bib] [code] -
How does overparametrization affect performance on minority groups?
Saptarshi Roy, Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun, August 2025
[openreview] [pdf] [bib] [code] -
Beyond Grids: Multi-objective Bayesian Optimization With Adaptive Discretization
Andi Nika, Sepehr Elahi, Cagin Ararat, Cem Tekin, August 2025
[openreview] [pdf] [bib] [code] -
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators
Unique Subedi, Ambuj Tewari, August 2025
[openreview] [pdf] [bib] [code] -
Table Foundation Models: on knowledge pre-training for tabular learning
Myung Jun Kim, Félix Lefebvre, Gaëtan Brison, Alexandre Perez-Lebel, Gaël Varoquaux, August 2025
[openreview] [pdf] [bib] [code] -
ReFeR: Improving Evaluation and Reasoning through Hierarchy of Models
Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal, August 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
A stochastic gradient descent algorithm with random search directions
Eméric Gbaguidi, August 2025
[openreview] [pdf] [bib] -
FoldDiff: Folding in Point Cloud Diffusion
Yuzhou Zhao, Juan Matias Di Martino, Amirhossein Farzam, Guillermo Sapiro, August 2025
[openreview] [pdf] [bib] [code] -
Personalized Federated Learning via Low-Rank Matrix Optimization
Ali Dadras, Sebastian U Stich, Alp Yurtsever, August 2025
[openreview] [pdf] [bib] [code] -
Node-Level Data Valuation on Graphs
Simone Antonelli, Aleksandar Bojchevski, August 2025
[openreview] [pdf] [bib] [code] [video] -
Unified Wisdom: Harnessing Collaborative Learning to Improve Efficacy of Knowledge Distillation
Atharva Abhijit Tambat, Durga S, Ganesh Ramakrishnan, Pradeep Shenoy, August 2025
[openreview] [pdf] [bib] [code] -
On the Convergence of SVGD in KL divergence via Approximate gradient flow
Masahiro Fujisawa, Futoshi Futami, August 2025
[openreview] [pdf] [bib] [code] -
BELLA: Black-box model Explanations by Local Linear Approximations
Nedeljko Radulovic, Albert Bifet, Fabian M. Suchanek, August 2025
[openreview] [pdf] [bib] [code] -
Emergent Symbol-like Number Variables in Artificial Neural Networks
Satchel Grant, Noah Goodman, James Lloyd McClelland, August 2025
[openreview] [pdf] [bib] [code] -
Loss Landscape Degeneracy and Stagewise Development in Transformers
Jesse Hoogland, George Wang, Matthew Farrugia-Roberts, Liam Carroll, Susan Wei, Daniel Murfet, August 2025
[openreview] [pdf] [bib] [code] [video] -
Does equivariance matter at scale?
Johann Brehmer, Sönke Behrends, Pim De Haan, Taco Cohen, August 2025
[openreview] [pdf] [bib] -
Continuous Parallel Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems
Yuma Ichikawa, Hiroaki Iwashita, August 2025
[openreview] [pdf] [bib] [code] -
Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?
Olawale Elijah Salaudeen, Nicole Chiou, Shiny Weng, Sanmi Koyejo, August 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Peijia Qin, Ruiyi Zhang, Pengtao Xie, August 2025
[openreview] [pdf] [bib] [code] -
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks
Edan kinderman, Itay Hubara, Haggai Maron, Daniel Soudry, August 2025
[openreview] [pdf] [bib] [code] -
Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?
Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ira Assent, Alex Kot, Ngai-Man Cheung, August 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C -
Classifier-Free Guidance is a Predictor-Corrector
Arwen Bradley, Preetum Nakkiran, August 2025
[openreview] [pdf] [bib] -
Semantic Mapping in Indoor Embodied AI - A Survey on Advances, Challenges, and Future Directions
Sonia Raychaudhuri, Angel X Chang, August 2025
[openreview] [pdf] [bib] [code] [video] -
Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models
Bicheng Xu, Qi Yan, Renjie Liao, Lele Wang, Leonid Sigal, August 2025
[openreview] [pdf] [bib] [code] -
Decoding-based Regression
Xingyou Song, Dara Bahri, August 2025
[openreview] [pdf] [bib] [code] -
Explaining Confident Black-Box Predictions
Evan Yao, Retsef Levi, Assaf Avrahami, Abraham Meidan, August 2025
[openreview] [pdf] [bib] -
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Nathaniel Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J Zico Kolter, August 2025
[openreview] [pdf] [bib] [code] -
Emergent Corpus Pre-training Benefits Vision Language Models
Makanjuola Adekunmi Ogunleye, Chase Vickery, Ismini Lourentzou, August 2025
[openreview] [pdf] [bib] [code] -
From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks
Vignesh Kothapalli, Tianyu Pang, Shenyang Deng, Zongmin Liu, Yaoqing Yang, August 2025
[openreview] [pdf] [bib] [code] -
One-Shot Federated Distillation Using Monoclass Teachers: A Study of Knowledge Fragmentation and Out-of-Distribution Supervision
Cedric Maron, Virginie Fresse, ORZALESI, August 2025
[openreview] [pdf] [bib] -
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Stephen Casper, Lennart Schulze, Oam Patel, Dylan Hadfield-Menell, August 2025
[openreview] [pdf] [bib] [code] -
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
Wei Liu, Anweshit Panda, Ujwal Pandey, Christopher Brissette, Yikang Shen, George Slota, Naigang Wang, Jie Chen, Yangyang Xu, August 2025
[openreview] [pdf] [bib] [code] [video] -
Generative Feature Training of Thin 2-Layer Networks
Johannes Hertrich, Sebastian Neumayer, August 2025
[openreview] [pdf] [bib] [code] -
Efficient Knowledge Injection in LLMs via Self-Distillation
Kalle Kujanpää, Pekka Marttinen, Harri Valpola, Alexander Ilin, August 2025
[openreview] [pdf] [bib] [code] -
Physics-Aware Spatiotemporal Causal Graph Network for Forecasting with Limited Data
Zijun Cui, Sam Griesemer, Sungyong Seo, Joshua Hikida, Yan Liu, August 2025
[openreview] [pdf] [bib]
Certifications: J2C -
ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning
Jelle Luijkx, Zlatan Ajanović, Laura Ferranti, Jens Kober, August 2025
[openreview] [pdf] [bib] [code] [video] -
L2G: Repurposing Language Models for Genomics Tasks
Wenduo Cheng, Junhong Shen, Mikhail Khodak, Jian Ma, Ameet Talwalkar, August 2025
[openreview] [pdf] [bib] [code] -
Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models
Michael Wojnowicz, Kaitlin Gili, Preetish Rath, Eric Miller, Jeffrey W. Miller, Clifford Lee Hancock, Meghan O'Donovan, Seth Elkin-Frankston, Tad Brunye, Michael C Hughes, August 2025
[openreview] [pdf] [bib] [code] -
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation
Vaibhav Seth, Ayan Sengupta, Arinjay Pathak, Aastha A K Verma, Natraj Raman, Sriram Gopalakrishnan, Niladri Chatterjee, Tanmoy Chakraborty, August 2025
[openreview] [pdf] [bib] [code] -
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu, August 2025
[openreview] [pdf] [bib] [code] -
Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance
Liya Guo, Zun Wang, Chang Liu, Junzhe Li, Pipi Hu, Yi Zhu, Tao Qin, August 2025
[openreview] [pdf] [bib] -
Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens
Usman Anwar, Johannes von Oswald, Louis Kirsch, David Krueger, Spencer Frei, August 2025
[openreview] [pdf] [bib]
Certifications: Featured -
Set-Based Training for Neural Network Verification
Lukas Koller, Tobias Ladner, Matthias Althoff, August 2025
[openreview] [pdf] [bib] -
Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
Benjamin Plaut, Khanh Xuan Nguyen, Tu Trinh, August 2025
[openreview] [pdf] [bib] [code] -
Formulating Node Labelling as Node Classification or Link Prediction in Different Graph Representations
Tobias Möller, Borun Shi, August 2025
[openreview] [pdf] [bib] -
Sortability of Time Series Data
Christopher Lohse, Jonas Wahl, August 2025
[openreview] [pdf] [bib] [code] -
Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture
Thomas F Burns, Tomoki Fukai, Christopher Earls, August 2025
[openreview] [pdf] [bib] [code] -
Shared Imagination: LLMs Hallucinate Alike
Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu, August 2025
[openreview] [pdf] [bib] -
Approximation, Estimation and Optimization Errors for a Deep Neural Network
Gerrit Welper, Benjamin Keene, August 2025
[openreview] [pdf] [bib] [code] -
Model Tensor Planning
An Thai Le, Khai Nguyen, Minh Nhat VU, Joao Carvalho, Jan Peters, August 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
HDCS: Hierarchy Discovery and Critic Shaping for Reinforcement Learning with Automaton Specification
Duo XU, Faramarz Fekri, August 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Don’t Judge Before You CLIP: A Unified Approach for Perceptual Tasks
Amit Zalcher, navve wasserman, Roman Beliy, Oliver Heinimann, michal Irani, August 2025
[openreview] [pdf] [bib] -
Training Dynamics of the Cooldown Stage in Warmup-Stable-Decay Learning Rate Scheduler
Aleksandr Dremov, Alexander Hägele, Atli Kosson, Martin Jaggi, August 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
SuFP: Piecewise Bit Allocation Floating-Point for Robust Neural Network Quantization
Geonwoo Ko, Sungyeob Yoo, Seri Ham, Seeyeon Kim, Minkyu Kim, Joo-Young Kim, August 2025
[openreview] [pdf] [bib] -
Disentangled and Self-Explainable Node Representation Learning
Simone Piaggesi, André Panisson, Megha Khosla, August 2025
[openreview] [pdf] [bib] [code] -
Node Duplication Improves Cold-start Link Prediction
Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Mingxuan Ju, Neil Shah, Nitesh V Chawla, August 2025
[openreview] [pdf] [bib] [code] [video] -
LLaVA-Video: Video Instruction Tuning With Synthetic Data
Yuanhan Zhang, Jinming Wu, Wei Li, Bo Li, Zejun MA, Ziwei Liu, Chunyuan Li, August 2025
[openreview] [pdf] [bib] -
Keep your distance: learning dispersed embeddings on $\mathbb{S}_{m}$
Evgeniia Tokarchuk, Hua Chang Bakker, Vlad Niculae, August 2025
[openreview] [pdf] [bib] [code] -
Scaling and Distilling Transformer Models for sEMG
Nick Mehlman, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Kelvin Niu, Alexander H Miller, Shagun Sodhani, August 2025
[openreview] [pdf] [bib] [code] -
A Max-Min Approach to the Worst-Case Class Separation Problem
Mohammad Mahdi Omati, Prabhu babu, Petre Stoica, Arash Amini, July 2025
[openreview] [pdf] [bib] -
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting
Jinxin Xiong, Xi Gao, Linxin Yang, Jiang Xue, Xiaodong Luo, Akang Wang, July 2025
[openreview] [pdf] [bib] -
Generalizable Spectral Embedding with an Application to UMAP
Nir Ben-Ari, Amitai Yacobi, Uri Shaham, July 2025
[openreview] [pdf] [bib] [code] -
Importance Weighting for Aligning Language Models under Deployment Distribution Shift
Thanawat Lodkaew, Tongtong Fang, Takashi Ishida, Masashi Sugiyama, July 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Activate and Adapt: A Two-Stage Framework for Open-Set Model Adaptation
Xiasi Wang, Jiaqi Lin, Chaoqi Chen, Luyao Tang, Yi Huang, Chengsen Wang, Lei YE, Yuan Yao, July 2025
[openreview] [pdf] [bib] -
MUC: Machine Unlearning for Contrastive Learning with Black-box Evaluation
Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao, July 2025
[openreview] [pdf] [bib] [code] -
Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity
Zitao Shuai, Chenwei Wu, Zhengxu Tang, Liyue Shen, July 2025
[openreview] [pdf] [bib] [code] -
Exploring End-to-end Differentiable Neural Charged Particle Tracking – A Loss Landscape Perspective
Tobias Kortus, Ralf Keidel, Nicolas R. Gauger, July 2025
[openreview] [pdf] [bib] [code] -
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data
Jose Cribeiro-Ramallo, Federico Matteucci, Paul Enciu, Alexander Jenke, Vadim Arzamasov, Thorsten Strufe, Klemens Böhm, July 2025
[openreview] [pdf] [bib] [code] -
Agreement-Based Cascading for Efficient Inference
Steven Kolawole, Don Dennis, Ameet Talwalkar, Virginia Smith, July 2025
[openreview] [pdf] [bib] [code] -
Convergence Properties of Natural Gradient Descent for Minimizing KL Divergence
Adwait Datar, Nihat Ay, July 2025
[openreview] [pdf] [bib] [code] -
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
Yanis Lalou, Theo Gnassounou, Antoine Collas, Antoine de Mathelin, Oleksii Kachaiev, Ambroise Odonnat, Thomas Moreau, Alexandre Gramfort, Rémi Flamary, July 2025
[openreview] [pdf] [bib] [code] -
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter Spirtes, Yang Liu, Lu Cheng, July 2025
[openreview] [pdf] [bib] -
Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks
Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Eduardo Sontag, July 2025
[openreview] [pdf] [bib] -
SAIF: Sparse Adversarial and Imperceptible Attack Framework
Tooba Imtiaz, Morgan R Kohler, Jared F Miller, Zifeng Wang, Masih Eskandar, Mario Sznaier, Octavia Camps, Jennifer Dy, July 2025
[openreview] [pdf] [bib] [code] -
Stochastic Block Model-Aware Topological Neural Networks for Graph Link Prediction
Yuzhou Chen, Xiao Guo, Shujie Ma, July 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
Aleksandar Todorov, Juan Cardenas-Cartagena, Rafael F. Cunha, Marco Zullich, Matthia Sabatelli, July 2025
[openreview] [pdf] [bib] -
Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization
Yufeng Yang, Erin E. Tripp, Yifan Sun, Shaofeng Zou, Yi Zhou, July 2025
[openreview] [pdf] [bib] [code] -
DIVINE: Diverse-Inconspicuous Feature Learning to Mitigate Abridge Learning
Saheb Chhabra, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh, July 2025
[openreview] [pdf] [bib] -
Variance Reduction of Stochastic Hypergradient Estimation by Mixed Fixed-Point Iteration
Naoyuki Terashita, Satoshi Hara, July 2025
[openreview] [pdf] [bib] [code] -
DiffNat : Exploiting the Kurtosis Concentration Property for Image quality improvement
Aniket Roy, Maitreya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa, July 2025
[openreview] [pdf] [bib] [code] -
Label Smoothing is a Pragmatic Information Bottleneck
Sota Kudo, July 2025
[openreview] [pdf] [bib] -
Preference Discerning with LLM-Enhanced Generative Retrieval
Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky T. Q. Chen, Zhang Gabriel Li, Xiaoli Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh, July 2025
[openreview] [pdf] [bib] [code] -
Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions
Lucas Moeller, Pascal Tilli, Thang Vu, Sebastian Padó, July 2025
[openreview] [pdf] [bib] -
EMMA: End-to-End Multimodal Model for Autonomous Driving
Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, Yin Zhou, James Guo, Dragomir Anguelov, Mingxing Tan, July 2025
[openreview] [pdf] [bib] -
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models
Junjie Wu, Tsz Ting Chung, Kai Chen, Dit-Yan Yeung, July 2025
[openreview] [pdf] [bib] [code] -
Budgeted-Bandits with Controlled Restarts with Applications in Learning and Computing
Semih Cayci, Yilin Zheng, Atilla Eryilmaz, July 2025
[openreview] [pdf] [bib] -
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian Rokkum Jamasb, Charles Harris, Simon V Mathis, Kieran Didi, Rex Ying, Bryan Hooi, Pietro Lio, July 2025
[openreview] [pdf] [bib] [code] -
Leveraging AutoML for Sustainable Deep Learning: A Multi- Objective HPO Approach on Deep Shift Neural Networks
Leona Hennig, Marius Lindauer, July 2025
[openreview] [pdf] [bib] [code] -
Sparsity regularization via tree-structured environments for disentangled representations
Elliot Layne, Jason Hartford, Sebastien Lachapelle, Mathieu Blanchette, Dhanya Sridhar, July 2025
[openreview] [pdf] [bib] -
Cumulative Reasoning with Large Language Models
Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew C Yao, July 2025
[openreview] [pdf] [bib] [code] -
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities
Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell, July 2025
[openreview] [pdf] [bib] -
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
Soon Hoe Lim, Yijin Wang, Annan Yu, Emma Hart, Michael W. Mahoney, Sherry Li, N. Benjamin Erichson, July 2025
[openreview] [pdf] [bib] -
Customizing Spider Silk: Generative Models with Mechanical Property Conditioning for Protein Engineering
Neeru Dubey, Elin Karlsson, Miguel A. Redondo, Johan Reimegård, Anna Rising, Hedvig Kjellstrom, July 2025
[openreview] [pdf] [bib] [code] -
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions
Sujan Sai Gannamaneni, Rohil Prakash Rao, Michael Mock, Maram Akila, Stefan Wrobel, July 2025
[openreview] [pdf] [bib] [code] -
Transformers trained on proteins can learn to attend to Euclidean distance
Isaac Ellmen, Constantin Schneider, Matthew I. J. Raybould, Charlotte Deane, July 2025
[openreview] [pdf] [bib] [code] -
Long Context Transfer from Language to Vision
Peiyuan Zhang, Kaichen Zhang, Bo Li, Guangtao Zeng, Jingkang Yang, Yuanhan Zhang, Ziyue Wang, Haoran Tan, Chunyuan Li, Ziwei Liu, July 2025
[openreview] [pdf] [bib] -
YoooP: You Only Optimize One Prototype per Class for Non-Exemplar Incremental Learning
Jiangtao Kong, Zhenyu Zong, Tianyi Zhou, Huajie Shao, July 2025
[openreview] [pdf] [bib] -
Bayesian Optimization of Robustness Measures under Input Uncertainty: A Randomized Gaussian Process Upper Confidence Bound Approach
Yu Inatsu, July 2025
[openreview] [pdf] [bib] -
Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention
Jiaxu Liu, Xinping Yi, Xiangyu Yin, Yuhang Song, Gaojie Jin, Xiaowei Huang, July 2025
[openreview] [pdf] [bib] [code] -
Unmasking Trees for Tabular Data
Calvin McCarter, July 2025
[openreview] [pdf] [bib] [code] -
Diffusion-RainbowPA: Improvements Integrated Preference Alignment for Diffusion-based Text-to-Image Generation
Haoyuan Sun, Bin Liang, Bo Xia, Jiaqi Wu, Yifei Zhao, Kai Qin, Yongzhe Chang, Xueqian Wang, July 2025
[openreview] [pdf] [bib] -
MOCK: an Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions
Victor William Rielly, Kamel Lahouel, Ethan Lew, Nicholas Fisher, Vicky Geneva Haney, Michael Lee Wells, Bruno Michel Jedynak, July 2025
[openreview] [pdf] [bib] [code] [video] -
Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors
Soumava Paul, Prakhar Kaushik, Alan Yuille, July 2025
[openreview] [pdf] [bib] [code] [video] -
Abstraction for Bayesian Reinforcement Learning in Factored POMDPs
Rolf A. N. Starre, Sammie Katt, Mustafa Mert Çelikok, Marco Loog, Frans A Oliehoek, July 2025
[openreview] [pdf] [bib] -
Text-to-Image Generation Via Energy-Based CLIP
Roy Ganz, Michael Elad, July 2025
[openreview] [pdf] [bib] -
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction
Sai Qian Zhang, Ziyun Li, Chuan Guo, Saeed Mahloujifar, Deeksha Dangwal, G. Edward Suh, Barbara De Salvo, Chiao Liu, July 2025
[openreview] [pdf] [bib] -
Exploring the potential of Direct Feedback Alignment for Continual Learning
Sara Folchini, Viplove Arora, Sebastian Goldt, July 2025
[openreview] [pdf] [bib] -
Large Action Models: From Inception to Implementation
Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, He Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang, July 2025
[openreview] [pdf] [bib] -
Diverse Condensed Data Generation via Class Preserving Distribution Matching
Dandan Guo, Zhuo Li, He Zhao, Mingyuan Zhou, Hongyuan Zha, July 2025
[openreview] [pdf] [bib] -
Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning
Hsing-Huan Chung, Shravan S Chaudhari, Xing Han, Yoav Wald, Suchi Saria, Joydeep Ghosh, July 2025
[openreview] [pdf] [bib] [code] -
Knockout: A simple way to handle missing inputs
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu, July 2025
[openreview] [pdf] [bib] [code] -
Reproducibility study of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals"
Tijs Wiegman, Leyla Perotti, Viktória Pravdová, Ori Brand, Maria Heuss, July 2025
[openreview] [pdf] [bib]
Certifications: Reproducibility Event: reproml.org/MLRC/2025/Journal_Track -
Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxations
Stefan Balauca, Mark Niklas Mueller, Yuhao Mao, Maximilian Baader, Marc Fischer, Martin Vechev, July 2025
[openreview] [pdf] [bib] [code] [video] -
Revisiting Data Augmentation for Ultrasound Images
Adam Tupper, Christian Gagné, July 2025
[openreview] [pdf] [bib] [code] -
A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, PeiFeng Wang, silvio savarese, Caiming Xiong, Shafiq Joty, July 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: Survey -
TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks
Prajna G. Malettira, Shubham Negi, Wachirawit Ponghiran, Kaushik Roy, July 2025
[openreview] [pdf] [bib] -
Adaptive Resolution Residual Networks — Generalizing Across Resolutions Easily and Efficiently
Léa Demeule, Mahtab Sandhu, Glen Berseth, July 2025
[openreview] [pdf] [bib] -
The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities
Manato Yaguchi, Kotaro Sakamoto, Ryosuke Sakamoto, Masato Tanabe, Masatomo Akagawa, Yusuke Hayashi, Masahiro Suzuki, Yutaka Matsuo, July 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured -
Identifying Macro Causal Effects in a C-DMG over ADMGs
Simon Ferreira, Charles K. Assaad, July 2025
[openreview] [pdf] [bib] [video] -
Deep Autoregressive Models as Causal Inference Engines
Daniel Jiwoong Im, Kevin Zhang, Nakul Verma, Kyunghyun Cho, July 2025
[openreview] [pdf] [bib] [code] -
Interactive Large Language Models for Reliable Answering under Incomplete Context
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jia-Hao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Ming-Kun Xie, Xiang Chen, Sheng-Jun Huang, Yang Yu, July 2025
[openreview] [pdf] [bib] -
Synthetic Data is Sufficient for Zero-Shot Visual Generalization from Offline Data
Ahmet H. Güzel, Ilija Bogunovic, Jack Parker-Holder, July 2025
[openreview] [pdf] [bib] -
The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
Fin Amin, Jung-Eun Kim, July 2025
[openreview] [pdf] [bib] -
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions
Liyi Zhang, Michael Y. Li, R. Thomas McCoy, Theodore Sumers, Jian-Qiao Zhu, Thomas L. Griffiths, July 2025
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Expressive Pooling for Graph Neural Networks
Veronica Lachi, Alice Moallemy-Oureh, Andreas Roth, Pascal Welke, July 2025
[openreview] [pdf] [bib] [code] [video] -
Towards Robust Scale-Invariant Mutual Information Estimators
Cheuk Ting Leung, Rohan Ghosh, Mehul Motani, July 2025
[openreview] [pdf] [bib] -
Algorithmic fairness with monotone likelihood ratios
Wes Camp, July 2025
[openreview] [pdf] [bib] -
Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large Language Models
Dante Campregher, Yanxu Chen, Sander Hoffman, Maria Heuss, July 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches
Ruibo Ming, Zhewei Huang, Jingwei Wu, Zhuoxuan Ju, Daxin Jiang, Jianming HU, Lihui Peng, Shuchang Zhou, July 2025
[openreview] [pdf] [bib] -
SparseDiff: Sparse Discrete Diffusion for Scalable Graph Generation
Yiming QIN, Clement Vignac, Pascal Frossard, July 2025
[openreview] [pdf] [bib] [code] -
Online Selective Conformal Inference: Errors and Solutions
Yusuf Sale, Aaditya Ramdas, July 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei, July 2025
[openreview] [pdf] [bib] -
Universal Link Predictor By In-Context Learning on Graphs
Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V Chawla, July 2025
[openreview] [pdf] [bib] [code] -
Towards Efficient Contrastive PAC Learning
Jie Shen, July 2025
[openreview] [pdf] [bib] -
FB-MOAC: A Reinforcement Learning Algorithm for Forward-Backward Markov Decision Processes
Mohsen Amidzadeh, Mario Di Francesco, July 2025
[openreview] [pdf] [bib] [code] -
A note on the $k$-means clustering for missing data
Yoshikazu Terada, Xin Guan, July 2025
[openreview] [pdf] [bib] [video] -
Synthesizing world models for bilevel planning
Zergham Ahmed, Joshua B. Tenenbaum, Chris Bates, Samuel J. Gershman, July 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Federated Generalized Novel Category Discovery with Prompts Tuning
Lei Shen, Nan Pu, Zhun Zhong, Mingming Gong, Dianhai Yu, Chengqi Zhang, Bo Han, July 2025
[openreview] [pdf] [bib] -
Finetuning CLIP to Reason about Pairwise Differences
Dylan Sam, Devin Willmott, João D. Semedo, J Zico Kolter, July 2025
[openreview] [pdf] [bib] [code] -
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo, July 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Class-wise Generalization Error: an Information-Theoretic analysis
Firas Laakom, Moncef Gabbouj, Jürgen Schmidhuber, Yuheng Bu, July 2025
[openreview] [pdf] [bib]
Certifications: J2C -
A Reproducibility Study of Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Johanna D'Ciofalo Khodaverdian, Eric Banzuzi, Katharina Deckenbach, July 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
Qualifying Knowledge and Knowledge Sharing in Multilingual Models
Nicolas Guerin, Ryan M. Nefdt, Emmanuel Chemla, July 2025
[openreview] [pdf] [bib] [code] -
Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks
Alfredo Reichlin, Miguel Vasco, Danica Kragic, July 2025
[openreview] [pdf] [bib] -
Successor Clusters: A Behavior Basis for Unsupervised Zero-Shot Reinforcement Learning
Louis Bagot, Lucas Nunes Alegre, Steven Latre, Kevin Mets, Bruno Castro da Silva, July 2025
[openreview] [pdf] [bib] -
Setting the Record Straight on Transformer Oversmoothing
Gbetondji Jean-Sebastien Dovonon, Michael M. Bronstein, Matt Kusner, July 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
No $D_{train}$: Model-Agnostic Counterfactual Explanations Using Reinforcement Learning
Xiangyu Sun, Raquel Aoki, Kevin H. Wilson, July 2025
[openreview] [pdf] [bib] -
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Zhixu Tao, Ian Mason, Sanjeev Kulkarni, Xavier Boix, July 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured -
Low-rank Momentum Factorization for Memory Efficient Training
Pouria Mahdavinia, Mehrdad Mahdavi, July 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
A Comprehensive Survey of Contamination Detection Methods in Large Language Models
Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty, July 2025
[openreview] [pdf] [bib] -
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors
Md Ferdous Alam, Faez Ahmed, July 2025
[openreview] [pdf] [bib] [code] [video] -
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Lea Richtmann, Viktoria-S. Schmiesing, Dennis Wilken, Jan Heine, Aaron D Tranter, Avishek Anand, Tobias J. Osborne, Michèle Heurs, July 2025
[openreview] [pdf] [bib] [code] -
Celo: Training Versatile Learned Optimizers on a Compute Diet
Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie, Eugene Belilovsky, July 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Gaussian Processes with Bayesian Inference of Covariate Couplings
Mattia Rosso, Juho Ylä-Jääski, Zheyang Shen, Markus Heinonen, Maurizio Filippone, July 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training
Jonathan Drechsel, Anja Reusch, Steffen Herbold, July 2025
[openreview] [pdf] [bib] [code] -
A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior
Hengyue Liang, Taihui Li, Ju Sun, July 2025
[openreview] [pdf] [bib] [code] -
Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs
Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li, July 2025
[openreview] [pdf] [bib] [code] -
Bayesian Neighborhood Adaptation for Graph Neural Networks
Paribesh Regmi, Rui Li, Kishan K C, July 2025
[openreview] [pdf] [bib] -
Approximations to worst-case data dropping: unmasking failure modes
Jenny Y. Huang, David R. Burt, Yunyi Shen, Tin D. Nguyen, Tamara Broderick, July 2025
[openreview] [pdf] [bib] [code] -
Large Language Model Confidence Estimation via Black-Box Access
Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri, July 2025
[openreview] [pdf] [bib] -
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing
Arpan Mukherjee, Shashanka Ubaru, Keerthiram Murugesan, Karthikeyan Shanmugam, Ali Tajer, July 2025
[openreview] [pdf] [bib] -
Where to Intervene: Action Selection in Deep Reinforcement Learning
Wenbo Zhang, Hengrui Cai, July 2025
[openreview] [pdf] [bib] [code] -
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security
Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Aditya Bhaskara, Suresh Venkatasubramanian, July 2025
[openreview] [pdf] [bib] [code] -
Does confidence calibration improve conformal prediction?
Huajun Xi, Jianguo Huang, Kangdao Liu, Lei Feng, Hongxin Wei, July 2025
[openreview] [pdf] [bib] [code] -
Cluster and Predict Latents Patches for Improved Masked Image Modeling
Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski, July 2025
[openreview] [pdf] [bib] -
Fully Automatic Neural Network Reduction for Formal Verification
Tobias Ladner, Matthias Althoff, July 2025
[openreview] [pdf] [bib] [code] -
What Matters for Model Merging at Scale?
Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai, July 2025
[openreview] [pdf] [bib] -
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks
Kim-Celine Kahl, Selen Erkan, Jeremias Traub, Carsten T. Lüth, Klaus Maier-Hein, Lena Maier-hein, Paul F Jaeger, July 2025
[openreview] [pdf] [bib] [code] -
Variance Dichotomy in Feature Spaces of Facial Recognition Systems is a Weak Defense against Simple Weight Manipulation Attacks
Matthew Bowditch, Mike Paterson, Matthias Englert, Ranko Lazic, July 2025
[openreview] [pdf] [bib] [video] -
Learned-Database Systems Security
Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot, July 2025
[openreview] [pdf] [bib] -
Controlled Model Debiasing through Minimal and Interpretable Updates
Federico Di Gennaro, Thibault Laugel, Vincent Grari, Marcin Detyniecki, July 2025
[openreview] [pdf] [bib] [code] -
Fairness and Disentanglement: A Critical Review of Predominant Bias in Neural Networks
Jiazhi Li, Mahyar Khayatkhoei, Jiageng Zhu, Hanchen Xie, Mohamed E. Hussein, Wael AbdAlmageed, July 2025
[openreview] [pdf] [bib] -
Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information
Ziyi Zhang, Yorie Nakahira, Guannan Qu, July 2025
[openreview] [pdf] [bib] -
On Efficient Bayesian Exploration in Model-Based Reinforcement Learning
Alberto Caron, Vasilios Mavroudis, Chris Hicks, July 2025
[openreview] [pdf] [bib] -
Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts
Weiyang Zhang, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie, July 2025
[openreview] [pdf] [bib] -
Test-Time Fairness and Robustness in Large Language Models
Leonardo Cotta, Chris J. Maddison, July 2025
[openreview] [pdf] [bib] -
Collaboration with Dynamic Open Ad Hoc Team via Team State Modelling
Jing Sun, Cong Zhang, Zhiguang Cao, July 2025
[openreview] [pdf] [bib] -
Do Concept Bottleneck Models Respect Localities?
Naveen Janaki Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik, July 2025
[openreview] [pdf] [bib] -
LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers
Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala, July 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan, July 2025
[openreview] [pdf] [bib] -
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
Riccardo Zaccone, Sai Praneeth Karimireddy, Carlo Masone, Marco Ciccone, June 2025
[openreview] [pdf] [bib] [code] [video] -
Are Convex Optimization Curves Convex?
Guy Barzilai, Ohad Shamir, Moslem Zamani, June 2025
[openreview] [pdf] [bib] -
Evolution guided generative flow networks
Zarif Ikram, Ling Pan, Dianbo Liu, June 2025
[openreview] [pdf] [bib] [code] -
Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics
Fang Sun, Zijie Huang, Haixin Wang, Huacong Tang, Xiao Luo, Wei Wang, Yizhou Sun, June 2025
[openreview] [pdf] [bib] -
A Stochastic Polynomial Expansion for Uncertainty Propagation through Networks
Songhan Zhang, ShiNung Ching, June 2025
[openreview] [pdf] [bib] [code] -
Fair Online Influence Maximization
Xiangqi Wang, Shaokun Zhang, Jose Efraim Aguilar Escamilla, Qingyun Wu, Xiangliang Zhang, Jian Kang, Huazheng Wang, June 2025
[openreview] [pdf] [bib] -
Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach
Yunpeng Jiang, Yutong Ban, Paul Weng, June 2025
[openreview] [pdf] [bib] [code] -
Disobeying Directions: Switching Random Walk Filters for Unsupervised Node Embedding Learning on Directed Graphs
Ciwan Ceylan, Kambiz Ghoorchian, Danica Kragic, June 2025
[openreview] [pdf] [bib] [code] -
TRA: Better Length Generalisation with Threshold Relative Attention
Mattia Opper, Roland Fernandez, Paul Smolensky, Jianfeng Gao, June 2025
[openreview] [pdf] [bib] -
A Survey of Reinforcement Learning from Human Feedback
Timo Kaufmann, Paul Weng, Viktor Bengs, Eyke Hüllermeier, June 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Riemann-Lebesgue Forest for Regression
Tian Qin, Wei-Min Huang, June 2025
[openreview] [pdf] [bib] -
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer, June 2025
[openreview] [pdf] [bib] [code] -
Adaptive Clipping for Differential Private Federated Learning in Interpolation Regimes
Takumi Fukami, Tomoya Murata, Kenta Niwa, June 2025
[openreview] [pdf] [bib] -
Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
Mohammad Hassan Vali, Tom Bäckström, June 2025
[openreview] [pdf] [bib] [code] -
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models
Sarah Dean, Evan Dong, Meena Jagadeesan, Liu Leqi, June 2025
[openreview] [pdf] [bib] -
SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis
Jipeng Lyu, Jiahua Dong, Yu-Xiong Wang, June 2025
[openreview] [pdf] [bib]
Certifications: Featured J2C Event: iclr.cc/ICLR/2026/Journal_Track -
UnSTAR: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs
Yash Sinha, Murari Mandal, Mohan Kankanhalli, June 2025
[openreview] [pdf] [bib] [code] -
Modularity aided consistent attributed graph clustering via coarsening
Yukti Makhija, Samarth Bhatia, Manoj Kumar, Sandeep Kumar, June 2025
[openreview] [pdf] [bib] [code] -
A User's Guide to Sampling Strategies for Sliced Optimal Transport
Keanu Sisouk, Julie Delon, Julien Tierny, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Unifying Generative and Dense Retrieval for Sequential Recommendation
Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D Nowak, Xiaoli Gao, Hamid Eghbalzadeh, June 2025
[openreview] [pdf] [bib] [code] -
InkSight: Offline-to-Online Handwriting Conversion by Teaching Vision-Language Models to Read and Write
Blagoj Mitrevski, Arina Rak, Julian Schnitzler, Chengkun Li, Andrii Maksai, Jesse Berent, Claudiu Cristian Musat, June 2025
[openreview] [pdf] [bib] [code] -
Interpretable LLM-based Table Question Answering
Giang Nguyen, Ivan Brugere, Shubham Sharma, Sanjay Kariyappa, Anh Totti Nguyen, Freddy Lecue, June 2025
[openreview] [pdf] [bib] [code] -
A Survey of State Representation Learning for Deep Reinforcement Learning
Ayoub Echchahed, Pablo Samuel Castro, June 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Disentangled Embedding through Style and Mutual Information for Domain Generalization
Noaman Mehmood, Kenneth Barner, June 2025
[openreview] [pdf] [bib] [code] -
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference
Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart Van Baalen, Markus Nagel, Paul N. Whatmough, Babak Ehteshami Bejnordi, June 2025
[openreview] [pdf] [bib] -
Entropy-Regularized Process Reward Model
Hanning Zhang, Pengcheng Wang, Shizhe Diao, Yong Lin, Rui Pan, Hanze Dong, Dylan Zhang, Pavlo Molchanov, Tong Zhang, June 2025
[openreview] [pdf] [bib] -
Influential Bandits: Pulling an Arm May Change the Environment
Ryoma Sato, Shinji Ito, June 2025
[openreview] [pdf] [bib] -
Directed Exploration in Reinforcement Learning from Linear Temporal Logic
Marco Bagatella, Andreas Krause, Georg Martius, June 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
EMMA: Efficient Visual Alignment in Multi-Modal LLMs
Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami, June 2025
[openreview] [pdf] [bib] [code] -
Scaling Channel-Adaptive Self-Supervised Learning
Alice V. De Lorenci, Seung Eun Yi, Théo Moutakanni, Piotr Bojanowski, Camille Couprie, Juan C. Caicedo, Wolfgang Maximilian Anton Pernice, June 2025
[openreview] [pdf] [bib] [code] -
Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale
Yangyang Shu, Yuhang Liu, Xiaofeng Cao, Qi Chen, Bowen Zhang, Ziqin Zhou, Anton van den Hengel, Lingqiao Liu, June 2025
[openreview] [pdf] [bib] [code] -
Gradient Inversion Attack on Graph Neural Networks
Divya Anand Sinha, Yezi Liu, Ruijie Du, Athina Markopoulou, Yanning Shen, June 2025
[openreview] [pdf] [bib] -
Theoretical Learning Performance of Graph Networks: the Impact of Jumping Connections and Layer-wise Sparsification
Jiawei Sun, Hongkang Li, Meng Wang, June 2025
[openreview] [pdf] [bib] -
Reproducibility Study of "Improving Interpretation Faithfulness For Vision Transformers"
Meher Changlani, Benjamin Hucko, Ioannis Kechagias, Aswin Krishna Mahadevan, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility Event: reproml.org/MLRC/2025/Journal_Track -
On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals"
Asen Dotsinski, Udit Thakur, Marko Ivanov, Mohammad Hafeez Khan, Maria Heuss, June 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
Monocular Dynamic Gaussian Splatting: Fast, Brittle, and Scene Complexity Rules
Yiqing Liang, Mikhail Okunev, Mikaela Angelina Uy, Runfeng Li, Leonidas Guibas, James Tompkin, Adam W Harley, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language Models
Atharv Mittal, Agam Pandey, Amritanshu Tiwari, Sukrit Jindal, Swadesh Swain, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers
Furkan Mumcu, Yasin Yilmaz, June 2025
[openreview] [pdf] [bib] [code] -
Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks
Matteo Tucat, Anirbit Mukherjee, Mingfei Sun, Procheta Sen, Omar Rivasplata, June 2025
[openreview] [pdf] [bib] [code] -
Enhancing Molecular Conformer Generation via Fragment- Augmented Diffusion Pretraining
Xiaozhuang Song, YUZHAO TU, Tianshu Yu, June 2025
[openreview] [pdf] [bib] -
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts
Youngseog Chung, Dhruv Malik, Jeff Schneider, Yuanzhi Li, Aarti Singh, June 2025
[openreview] [pdf] [bib] [code] -
AQA-Bench: An Interactive Benchmark for Evaluating LLMs’ Sequential Reasoning Ability in Algorithmic Environments
Siwei Yang, Bingchen Zhao, Cihang Xie, June 2025
[openreview] [pdf] [bib] -
ModernTCN Revisited: A Critical Look at the Experimental Setup in General Time Series Analysis
Önder Akacik, Mark Hoogendoorn, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
Synthesizing Minority Samples for Long-tailed Classification via Distribution Matching
Zhuo Li, He Zhao, Jinke Ren, Anningzhe Gao, Dandan Guo, Xiang Wan, Hongyuan Zha, June 2025
[openreview] [pdf] [bib] [code] -
Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study
Razan Baltaji, Saurabh Pujar, Martin Hirzel, Louis Mandel, Luca Buratti, Lav R. Varshney, June 2025
[openreview] [pdf] [bib] [code] -
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds
Juheon Lee, Xiaohao Cai, Carola-Bibiane Schönlieb, Simon Masnou, June 2025
[openreview] [pdf] [bib] [code] -
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Helen Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa, June 2025
[openreview] [pdf] [bib] [code] -
GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation
Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann, June 2025
[openreview] [pdf] [bib] [code] [video] -
Reassessing Fairness: A Reproducibility Study of NIFA’s Impact on GNN Models
Ruben Figge, Sjoerd Gunneweg, Aaron Kuin, Mees Lindeman, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
A Survey on Verifiable Cross-Silo Federated Learning
Aleksei Korneev, Jan Ramon, June 2025
[openreview] [pdf] [bib] -
[Re] Benchmarking LLM Capabilities in Negotiation through Scoreable Games
Jorge Carrasco Pollo, Ioannis Kapetangeorgis, Joshua Rosenthal, John Hua Yao, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
Revisiting XRec: How Collaborative Signals Influence LLM-Based Recommendation Explanations
Cătălin-Emanuel Brița, Hieu Nguyen, Lubov Chalakova, Nikola Petrov, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
MagicPose4D: Crafting Articulated Models with Appearance and Motion Control
Hao Zhang, Di Chang, Fang Li, Mohammad Soleymani, Narendra Ahuja, June 2025
[openreview] [pdf] [bib] [code] -
A reproducibility study of “User-item fairness tradeoffs in recommendations”
Sander Honig, Elyanne Oey, Lisanne Wallaard, Sharanda Suttorp, Clara Rus, June 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann, June 2025
[openreview] [pdf] [bib] [code] [video] -
SynCode: LLM Generation with Grammar Augmentation
Shubham Ugare, Tarun Suresh, Hangoo Kang, Sasa Misailovic, Gagandeep Singh, June 2025
[openreview] [pdf] [bib] [code] -
Solving Multi-agent Path Finding as an LLM Benchmark: How, How Good and Why
Weizhe Chen, Sven Koenig, Bistra Dilkina, June 2025
[openreview] [pdf] [bib] -
Towards Undistillable Models by Minimizing Conditional Mutual Information
Linfeng Ye, Shayan Mohajer Hamidi, EN-HUI YANG, June 2025
[openreview] [pdf] [bib] -
Distributionally Robust Coreset Selection under Covariate Shift
Tomonari Tanaka, Hiroyuki Hanada, Hanting Yang, Aoyama Tatsuya, Yu Inatsu, Akahane Satoshi, Yoshito Okura, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi, June 2025
[openreview] [pdf] [bib] [code] -
Thoughts and Lessons on Using Visual Foundation Models for Manipulation
Ryan Chen, Ziteng Pang, Bradly C. Stadie, June 2025
[openreview] [pdf] [bib] [code] -
SR-Reward: Taking The Path More Traveled
Seyed Mahdi B. Azad, Zahra Padar, Gabriel Kalweit, Joschka Boedecker, June 2025
[openreview] [pdf] [bib] [code] [video] -
AI Agents That Matter
Sayash Kapoor, Benedikt Stroebl, Zachary S Siegel, Nitya Nadgir, Arvind Narayanan, June 2025
[openreview] [pdf] [bib] [code] -
LASE: Learned Adjacency Spectral Embeddings
María Sofía Pérez Casulo, Marcelo Fiori, Federico Larroca, Gonzalo Mateos, June 2025
[openreview] [pdf] [bib] [code] -
Pitfalls in Evaluating Inference-time Methods for Improving LLM Reliability
Michael M. Jerge, David Evans, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey Reproducibility -
Optimization Guarantees for Square-Root Natural-Gradient Variational Inference
Navish Kumar, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Aurelien Lucchi, June 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Simple Calibration via Geodesic Kernels
Jayanta Dey, Haoyin Xu, Ashwin De Silva, Joshua T Vogelstein, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: lifelong-ml.cc/CoLLAs/2025/Journal_Track -
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining
Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie, June 2025
[openreview] [pdf] [bib] [code] -
Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics
Sabine Muzellec, Andrea Alamia, Thomas Serre, Rufin VanRullen, June 2025
[openreview] [pdf] [bib] [code] -
Large Language Model-Brained GUI Agents: A Survey
Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Minghua Ma, Guyue Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang, June 2025
[openreview] [pdf] [bib] [code] -
Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study
Freek Byrman, Emma Kasteleyn, Bart Kuipers, Daniel Uyterlinde, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility Event: reproml.org/MLRC/2025/Journal_Track -
End-to-end Training for Text-to-Image Synthesis using Dual-Text Embeddings
Yeruru Asrar Ahmed, Anurag Mittal, June 2025
[openreview] [pdf] [bib] -
Dynamics of the accelerated t-SNE
Kyoichi Iwasaki, Hideitsu Hino, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
State-Constrained Offline Reinforcement Learning
Charles Alexander Hepburn, Yue Jin, Giovanni Montana, June 2025
[openreview] [pdf] [bib] [code] -
Learning in complex action spaces without policy gradients
Arash Tavakoli, Sina Ghiassian, Nemanja Rakicevic, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: rl-conference.cc/RLC/2025/Journal_Track -
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications
Antoine Godichon-Baggioni, Pierre Tarrago, June 2025
[openreview] [pdf] [bib] [code] -
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects
Wenhao Li, Yudong Xu, Scott Sanner, Elias Boutros Khalil, June 2025
[openreview] [pdf] [bib] [code] -
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Chaouki Ben Issaid, Praneeth Vepakomma, Mehdi Bennis, June 2025
[openreview] [pdf] [bib] [code] -
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity
Arto Maranjyan, Mher Safaryan, Peter Richtárik, June 2025
[openreview] [pdf] [bib] [video] -
Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry
Supriya Manna, Niladri Sett, June 2025
[openreview] [pdf] [bib] [code] -
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang, June 2025
[openreview] [pdf] [bib] [code] -
Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation
Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin, June 2025
[openreview] [pdf] [bib] [code] -
CXAD: Contrastive Explanations for Anomaly Detection: Algorithms, Complexity Results and Experiments
Ian Davidson, Nicolás Kennedy, S. S. Ravi, June 2025
[openreview] [pdf] [bib] [code] [video] -
Fairness with respect to Stereotype Predictors: Impossibilities and Best Practices
Inbal Rachel Livni Navon, Omer Reingold, Judy Hanwen Shen, June 2025
[openreview] [pdf] [bib] [code] [video] -
Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective
Senmiao Wang, Yupeng Chen, Yushun Zhang, Ruoyu Sun, Tian Ding, June 2025
[openreview] [pdf] [bib] [code] [video] -
Spaced Scheduling for Large Language Model Training
Amine El hattami, Nicolas Chapados, Christopher Pal, June 2025
[openreview] [pdf] [bib] -
Selective Concept Bottleneck Models Without Predefined Concepts
Simon Schrodi, Julian Schur, Max Argus, Thomas Brox, June 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
SEE-DPO: Self Entropy Enhanced Direct Preference Optimization
Shivanshu Shekhar, Shreyas Singh, Tong Zhang, June 2025
[openreview] [pdf] [bib]
Certifications: Featured -
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning
Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian, June 2025
[openreview] [pdf] [bib] [code] -
[RE] GNNBoundary: Finding Boundaries and Going Beyond Them
Jan Henrik Bertrand, Lukas Bierling, Ina Klaric, Aron Wezenberg, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
Return-Aligned Decision Transformer
Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra, June 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier
Anirudhan Badrinath, Prabhat Agarwal, Jiajing Xu, June 2025
[openreview] [pdf] [bib] -
[Re] Improving Interpretation Faithfulness for Vision Transformers
Izabela Kurek, Wojciech Trejter, Stipe Frkovic, Andro Erdelez, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
Enhancing Sample Generation of Diffusion Models using Noise Level Correction
Abulikemu Abuduweili, Chenyang Yuan, Changliu Liu, Frank Permenter, June 2025
[openreview] [pdf] [bib] [code] -
Rational Tuning of LLM Cascades via Probabilistic Modeling
Michael J. Zellinger, Matt Thomson, June 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Proximal Policy Distillation
Giacomo Spigler, June 2025
[openreview] [pdf] [bib] -
Metamorphic Forward Adaptation Network: Dynamically Adaptive and Modular Multi-layer Learning
Yu Sun, Vijja Wichitwechkarn, Ronald Clark, Mirko Kovac, Basaran Bahadir Kocer, June 2025
[openreview] [pdf] [bib] [code] [video] -
Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations
Xuelian Jiang, Tongtian Zhu, Yingxiang Xu, Can Wang, Yeyu Zhang, Fengxiang He, June 2025
[openreview] [pdf] [bib] [code] -
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
Shubhankar Agarwal, Hamzah I Khan, Sandeep P. Chinchali, David Fridovich-Keil, June 2025
[openreview] [pdf] [bib] -
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference
Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A Álvarez, June 2025
[openreview] [pdf] [bib] [code] -
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement
Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra, June 2025
[openreview] [pdf] [bib] -
Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models
Bum Jun Kim, Yoshinobu Kawahara, Sang Woo Kim, June 2025
[openreview] [pdf] [bib] [code] -
Sparser, Better, Faster, Stronger: Sparsity Detection for Efficient Automatic Differentiation
Adrian Hill, Guillaume Dalle, June 2025
[openreview] [pdf] [bib] -
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
Mohammed Baharoon, Jonathan Klein, Dominik Michels, June 2025
[openreview] [pdf] [bib] [code] -
Full-Rank Unsupervised Node Embeddings for Directed Graphs via Message Aggregation
Ciwan Ceylan, Kambiz Ghoorchian, Danica Kragic, June 2025
[openreview] [pdf] [bib] [code] -
Prior Learning in Introspective VAEs
Ioannis Athanasiadis, Fredrik Lindsten, Michael Felsberg, June 2025
[openreview] [pdf] [bib] [code] -
Learning Using a Single Forward Pass
Aditya Somasundaram, Pushkal Mishra, Ayon Borthakur, June 2025
[openreview] [pdf] [bib] [code] -
Reproducibility Study of ’SLICE: Stabilized LIME for Consistent Explanations for Image Classification’
Aritra Bandyopadhyay, Chiranjeev Bindra, Roan van Blanken, Arijit Ghosh, June 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility Event: reproml.org/MLRC/2025/Journal_Track -
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
David Chen, Xinwei Li, Eui-Jin Kim, Prateek Bansal, David J Nott, June 2025
[openreview] [pdf] [bib] [code] -
Change Point Detection in the Frequency Domain with Statistical Reliability
Akifumi Yamada, Tomohiro Shiraishi, Shuichi Nishino, Teruyuki Katsuoka, Kouichi Taji, Ichiro Takeuchi, June 2025
[openreview] [pdf] [bib] [code] -
Recall and Refine: A Simple but Effective Source-free Open- set Domain Adaptation Framework
Ismail Nejjar, Hao Dong, Olga Fink, June 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Mixed-View Panorama Synthesis using Geospatially Guided Diffusion
Zhexiao Xiong, Xin Xing, Scott Workman, Subash Khanal, Nathan Jacobs, June 2025
[openreview] [pdf] [bib] -
Link Prediction with Relational Hypergraphs
Xingyue Huang, Miguel Romero Orth, Pablo Barcelo, Michael M. Bronstein, Ismail Ilkan Ceylan, June 2025
[openreview] [pdf] [bib] [code] -
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization
Daniel Jarne Ornia, Giannis Delimpaltadakis, Jens Kober, Javier Alonso-Mora, June 2025
[openreview] [pdf] [bib] -
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Mete Kemertas, Allan Douglas Jepson, Amir-massoud Farahmand, June 2025
[openreview] [pdf] [bib] -
Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models
Jared Fernandez, Luca Wehrstedt, Leonid Shamis, Mostafa Elhoushi, Kalyan Saladi, Yonatan Bisk, Emma Strubell, Jacob Kahn, June 2025
[openreview] [pdf] [bib] -
Flow map matching with stochastic interpolants: A mathematical framework for consistency models
Nicholas Matthew Boffi, Michael Samuel Albergo, Eric Vanden-Eijnden, June 2025
[openreview] [pdf] [bib] -
NeoBERT: A Next Generation BERT
Lola Le Breton, Quentin Fournier, John Xavier Morris, Mariam El Mezouar, Sarath Chandar, June 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: Reproducibility J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning
Kai Yi, Laurent Condat, Peter Richtárik, June 2025
[openreview] [pdf] [bib] [code] -
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models
Chunsan Hong, Tae-Hyun Oh, Minhyuk Sung, June 2025
[openreview] [pdf] [bib] [code] -
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie JOSEPH, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Llados, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas, June 2025
[openreview] [pdf] [bib] [code] -
Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks
Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Dong Yu, Meng Jiang, June 2025
[openreview] [pdf] [bib] [code] -
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution
Yixiang Yao, Weizhao Jin, Srivatsan Ravi, June 2025
[openreview] [pdf] [bib] -
Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power
Wenhan Gao, Jian Luo, Ruichen Xu, Yi Liu, June 2025
[openreview] [pdf] [bib] -
Normality-Guided Distributional Reinforcement Learning for Continuous Control
Ju-Seung Byun, Andrew Perrault, June 2025
[openreview] [pdf] [bib] [code] -
Mathematical Characterization of Better-than-Random Multiclass Models
Sébastien Foulle, June 2025
[openreview] [pdf] [bib] -
To Be Greedy, or Not to Be – That Is the Question for Population Based Training Variants
Alexander Chebykin, Tanja Alderliesten, Peter Bosman, June 2025
[openreview] [pdf] [bib] [code] -
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems
Hongkai Zheng, Wenda Chu, Austin Wang, Nikola Borislavov Kovachki, Ricardo Baptista, Yisong Yue, June 2025
[openreview] [pdf] [bib] [code] -
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models
Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi BOUKLI HACENE, Fabien Cardinaux, June 2025
[openreview] [pdf] [bib] [code] -
Personalization of Large Language Models: A Survey
Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang, June 2025
[openreview] [pdf] [bib]
Certifications: Survey -
An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets
Po-Yi Lu, Yi-Jie Cheng, Chun-Liang Li, Hsuan-Tien Lin, May 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Extending Graph Condensation to Multi-Label Datasets: A Benchmark Study
Liangliang Zhang, Haoran Bao, Yao Ma, May 2025
[openreview] [pdf] [bib] -
Diffusion Model Predictive Control
Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lazaro-Gredilla, Kevin Patrick Murphy, May 2025
[openreview] [pdf] [bib] -
Do Think Tags Really Help LLMs Plan? A Critical Evaluation of ReAct-Style Prompting
Siddhant Bhambri, Mudit Verma, Subbarao Kambhampati, May 2025
[openreview] [pdf] [bib] [code] [video] -
Multi-Attribute Constraint Satisfaction via Language Model Rewriting
Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark Riedl, Maarten Sap, May 2025
[openreview] [pdf] [bib] [code] -
AttentionSmithy: A Modular Framework for Rapid Transformer Development
Caleb Cranney, Jesse G Meyer, May 2025
[openreview] [pdf] [bib] [code] -
Evaluating explainability techniques on discrete-time graph neural networks
Manuel Dileo, Matteo Zignani, Sabrina Tiziana Gaito, May 2025
[openreview] [pdf] [bib] [code] -
Alternators For Sequence Modeling
Mohammad Reza Rezaei, Adji Bousso Dieng, May 2025
[openreview] [pdf] [bib] -
Evaluating Long Range Dependency Handling in Code Generation LLMs
Yannick Assogba, Donghao Ren, May 2025
[openreview] [pdf] [bib] [code] -
CLImage: Human-Annotated Datasets for Complementary-Label Learning
Hsiu-Hsuan Wang, Mai Tan Ha, Nai-Xuan Ye, Wei-I Lin, Hsuan-Tien Lin, May 2025
[openreview] [pdf] [bib] [code] -
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis
Bernard Spiegl, Andrea Perin, Stephane Deny, Alexander Ilin, May 2025
[openreview] [pdf] [bib] [code] -
Learning Actionable Counterfactual Explanations in Large State Spaces
Keziah Naggita, Matthew Walter, Avrim Blum, May 2025
[openreview] [pdf] [bib] [code] -
Learning distributed representations with efficient SoftMax normalization
Lorenzo Dall'Amico, Enrico Maria Belliardo, May 2025
[openreview] [pdf] [bib] [code] -
Explaining Node Embeddings
Zohair Shafi, Ayan Chatterjee, Tina Eliassi-Rad, May 2025
[openreview] [pdf] [bib] [code] [video] -
Diversity-Driven View Subset Selection for Indoor Novel View Synthesis
Zehao Wang, Han Zhou, Matthew B. Blaschko, Tinne Tuytelaars, Minye Wu, May 2025
[openreview] [pdf] [bib] [code] -
Flexible Infinite-Width Graph Convolutional Neural Networks
Ben Anson, Edward Milsom, Laurence Aitchison, May 2025
[openreview] [pdf] [bib] [code] -
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
Taraneh Younesian, Daniel Daza, Emile van Krieken, Thiviyan Thanapalasingam, Peter Bloem, May 2025
[openreview] [pdf] [bib] [code] -
Local Differential Privacy-Preserving Spectral Clustering for General Graphs
Sayan Mukherjee, Vorapong Suppakitpaisarn, May 2025
[openreview] [pdf] [bib] [code] [video] -
(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models
Andreas Kirsch, May 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Visually Descriptive Language Model for Vector Graphics Reasoning
Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji, May 2025
[openreview] [pdf] [bib] -
Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport
Eduardo Fernandes Montesuma, EL HABAZI Adel, Fred Maurice NGOLE MBOULA, May 2025
[openreview] [pdf] [bib] -
Algorithm Configuration for Structured Pfaffian Settings
Maria Florina Balcan, Anh Tuan Nguyen, Dravyansh Sharma, May 2025
[openreview] [pdf] [bib]
Certifications: Event: automl.cc/AutoML/2025/Journal_Track -
Generalizable Representation Learning for fMRI-based Neurological Disorder Identification
Wenhui Cui, Haleh Akrami, Anand Joshi, Richard Leahy, May 2025
[openreview] [pdf] [bib] -
Information Theoretic Guarantees For Policy Alignment In Large Language Models
Youssef Mroueh, Apoorva Nitsure, May 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Augmented Invertible Koopman Autoencoder for long-term time series forecasting
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Abdeldjalil AISSA EL BEY, May 2025
[openreview] [pdf] [bib] [code] -
Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models
Monika Wysoczańska, Antonin Vobecky, Amaia Cardiel, Tomasz Trzcinski, Renaud Marlet, Andrei Bursuc, Oriane Siméoni, May 2025
[openreview] [pdf] [bib] [code] -
Online Bandit Nonlinear Control with Dynamic Batch Length and Adaptive Learning Rate
Jihun Kim, Javad Lavaei, May 2025
[openreview] [pdf] [bib] [video] -
Tighter sparse variational Gaussian processes
Thang D Bui, Matthew Ashman, Richard E. Turner, May 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Efficient Diffusion Models: A Survey
Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang, May 2025
[openreview] [pdf] [bib]
Certifications: Survey -
RESTOR: Knowledge Recovery in Machine Unlearning
Keivan Rezaei, Khyathi Chandu, Soheil Feizi, Yejin Choi, Faeze Brahman, Abhilasha Ravichander, May 2025
[openreview] [pdf] [bib] [code] -
MarDini: Masked Auto-regressive Diffusion for Video Generation at Scale
Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan Camilo Perez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Perez-Rua, May 2025
[openreview] [pdf] [bib] [video] -
Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control
Zhuoqun Chen, Xiu Yuan, Tongzhou Mu, Hao Su, May 2025
[openreview] [pdf] [bib] -
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs
Pranav Maneriker, Aditya T. Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, srinivasan parthasarathy, May 2025
[openreview] [pdf] [bib] [code] -
Offset Unlearning for Large Language Models
James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen, May 2025
[openreview] [pdf] [bib] -
Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation
Praveen Srinivasa Varadhan, amogh gulati, Ashwin Sankar, Srija Anand, Anirudh Gupta, Anirudh Mukherjee, Shiva Kumar Marepally, Ankur Bhatia, Saloni Jaju, Suvrat Bhooshan, Mitesh M Khapra, May 2025
[openreview] [pdf] [bib] -
Part-aware Prompted Segment Anything Model for Adaptive Segmentation
Chenhui Zhao, Liyue Shen, May 2025
[openreview] [pdf] [bib] [code] -
On the Utility of Existing Fine-Tuned Models on Data-Scarce Domains
Md Ibrahim Ibne Alam, Parikshit Ram, Soham Dan, Horst Samulowitz, Koushik Kar, May 2025
[openreview] [pdf] [bib] [code] [video] -
Latent mixed-effect models for high-dimensional longitudinal data
Priscilla Ong, Manuel Haussmann, Otto Lönnroth, Harri Lähdesmäki, May 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Group Fair Federated Learning via Stochastic Kernel Regularization
Huzaifa Arif, Pin-Yu Chen, Keerthiram Murugesan, Alex Gittens, May 2025
[openreview] [pdf] [bib] [code] -
Conditional Image Synthesis with Diffusion Models: A Survey
Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang, May 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Exploring Weak-to-Strong Generalization for CLIP-based Classification
Jinhao Li, Sarah Monazam Erfani, Lei Feng, James Bailey, Feng Liu, May 2025
[openreview] [pdf] [bib] -
Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon, May 2025
[openreview] [pdf] [bib] -
Forecasting Company Fundamentals
Felix Divo, Eric Endress, Kevin Endler, Kristian Kersting, Devendra Singh Dhami, May 2025
[openreview] [pdf] [bib] -
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control
Ehsan Futuhi, Shayan Karimi, Chao Gao, Martin Müller, May 2025
[openreview] [pdf] [bib] -
Music Foundation Model as Generic Booster for Music Downstream Tasks
Wei-Hsiang Liao, Yuhta Takida, Yukara Ikemiya, Zhi Zhong, Chieh-Hsin Lai, Giorgio Fabbro, Kazuki Shimada, Keisuke Toyama, Kin Wai Cheuk, Marco A. Martínez-Ramírez, Shusuke Takahashi, Stefan Uhlich, Taketo Akama, Woosung Choi, Yuichiro Koyama, Yuki Mitsufuji, May 2025
[openreview] [pdf] [bib] -
Studying Exploration in RL: An Optimal Transport Analysis of Occupancy Measure Trajectories
Reabetswe M. Nkhumise, Debabrota Basu, Tony J. Prescott, Aditya Gilra, May 2025
[openreview] [pdf] [bib] [code] [video] -
LASP: Linear Attention Sequence Parallelism
Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong, May 2025
[openreview] [pdf] [bib] [code] -
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning
Gaurav Chaudhary, Washim Uddin Mondal, Laxmidhar Behera, May 2025
[openreview] [pdf] [bib] -
Time-Uniform Confidence Spheres for Means of Random Vectors
Ben Chugg, Hongjian Wang, Aaditya Ramdas, May 2025
[openreview] [pdf] [bib] -
How far away are truly hyperparameter-free learning algorithms?
Priya Kasimbeg, Vincent Roulet, Naman Agarwal, Sourabh Medapati, Fabian Pedregosa, Atish Agarwala, George E. Dahl, May 2025
[openreview] [pdf] [bib] -
Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review
Davide Carbone, May 2025
[openreview] [pdf] [bib] -
A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models
Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, Rene Vidal, May 2025
[openreview] [pdf] [bib] -
Pruning Feature Extractor Stacking for Cross-domain Few-shot Learning
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Geoff Holmes, May 2025
[openreview] [pdf] [bib] -
Cometh: A continuous-time discrete-state graph diffusion model
Antoine Siraudin, Fragkiskos D. Malliaros, Christopher Morris, May 2025
[openreview] [pdf] [bib] [code] -
Machine Learning with Physics Knowledge for Prediction: A Survey
Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles Cranmer, Carlo D'Eramo, Fabian Buelow, Tanmay Goyal, Jan Peters, Martin W Hoffmann, May 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Uniform Noise Distribution and Compact Clusters: Unveiling the Success of Self-Supervised Learning in Label Noise
Pengcheng Xu, Li Yi, Gezheng Xu, Xi Chen, Ian McLeod, Charles Ling, Boyu Wang, May 2025
[openreview] [pdf] [bib] -
RefinedFields: Radiance Fields Refinement for Planar Scene Representations
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jeremie Mary, Valerie Gouet-Brunet, May 2025
[openreview] [pdf] [bib] [code] -
M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification
Raja Kumar, Raghav Singhal, Pranamya Prashant Kulkarni, Deval Mehta, Kshitij Sharad Jadhav, May 2025
[openreview] [pdf] [bib] [code] -
Guided Discrete Diffusion for Electronic Health Record Generation
Jun Han, Zixiang Chen, Yongqian Li, Yiwen Kou, Eran Halperin, Robert E. Tillman, Quanquan Gu, May 2025
[openreview] [pdf] [bib] -
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models
Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Michael M. Bronstein, Yunpu Ma, May 2025
[openreview] [pdf] [bib] [code] -
Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion
Charles K. Assaad, May 2025
[openreview] [pdf] [bib] -
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani, Daniel Malinsky, Ilya Shpitser, May 2025
[openreview] [pdf] [bib] [code] -
A Survey on Large Language Model Acceleration based on KV Cache Management
Haoyang LI, Yiming Li, Anxin Tian, Tianhao Tang, Zhanchao Xu, Xuejia Chen, Nicole HU, Wei Dong, Li Qing, Lei Chen, May 2025
[openreview] [pdf] [bib] -
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi, May 2025
[openreview] [pdf] [bib] [code] -
Statistical Error Bounds for GANs with Nonlinear Objective Functionals
Jeremiah Birrell, May 2025
[openreview] [pdf] [bib] -
Closed-Form Diffusion Models
Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon, May 2025
[openreview] [pdf] [bib] -
Policy Optimization via Adv2: Adversarial Learning on Advantage Functions
Matthieu Jonckheere, Chiara Mignacco, Gilles Stoltz, May 2025
[openreview] [pdf] [bib] -
Node Classification With Reject Option
Uday Bhaskar Kuchipudi, Jayadratha Gayen, Charu Sharma, Naresh Manwani, May 2025
[openreview] [pdf] [bib] -
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li, May 2025
[openreview] [pdf] [bib] [code] -
Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse
Ruijie Jiang, Thuan Nguyen, Shuchin Aeron, Prakash Ishwar, May 2025
[openreview] [pdf] [bib] [code] -
Infrastructure for AI Agents
Alan Chan, Kevin Wei, Sihao Huang, Nitarshan Rajkumar, Elija Perrier, Seth Lazar, Gillian K Hadfield, Markus Anderljung, May 2025
[openreview] [pdf] [bib] -
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Jeffrey Wen, Rizwan Ahmad, Philip Schniter, May 2025
[openreview] [pdf] [bib] [code] -
G-RepsNet: A Lightweight Construction of Equivariant Networks for Arbitrary Matrix Groups
Sourya Basu, Suhas Lohit, Matthew Brand, May 2025
[openreview] [pdf] [bib] [code] -
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes
Riccardo Cappuzzo, Aimee Coelho, Félix Lefebvre, Paolo Papotti, Gaël Varoquaux, May 2025
[openreview] [pdf] [bib] [code] -
Foundation Models Meet Federated Learning: A One-shot Feature-sharing Method with Privacy and Performance Guarantees
Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang, May 2025
[openreview] [pdf] [bib] -
NITO: Neural Implicit Fields for Resolution-free and Domain-Adaptable Topology Optimization
Amin Heyrani Nobari, Lyle Regenwetter, Giorgio Giannone, Faez Ahmed, May 2025
[openreview] [pdf] [bib] [code] -
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma, Ryuichiro Hataya, Kotaro Yoshida, Ioannis Mitliagkas, May 2025
[openreview] [pdf] [bib] [code] -
Robust Offline Imitation Learning from Diverse Auxiliary Data
Udita Ghosh, Dripta S. Raychaudhuri, Jiachen Li, Konstantinos Karydis, Amit Roy-Chowdhury, May 2025
[openreview] [pdf] [bib] -
Rethinking the Value of Training-Free Structured Pruning of LLMs
Nahush Lele, Arnav Chavan, Aryamaan Thakur, Deepak Gupta, May 2025
[openreview] [pdf] [bib] -
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
Liqiang Jing, Xinya Du, May 2025
[openreview] [pdf] [bib] -
Noise-free Loss Gradients: A Surprisingly Effective Baseline for Coreset Selection
Saumyaranjan Mohanty, Chimata Anudeep, Konda Reddy Mopuri, May 2025
[openreview] [pdf] [bib] [code] [video] -
Graph-based Confidence Calibration for Large Language Models
Yukun Li, Sijia Wang, Lifu Huang, Liping Liu, May 2025
[openreview] [pdf] [bib] -
Preferential Multi-Objective Bayesian Optimization
Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron Ames, Yisong Yue, May 2025
[openreview] [pdf] [bib] [code] -
Adam-family Methods with Decoupled Weight Decay in Deep Learning
Kuangyu Ding, Nachuan Xiao, Kim-chuan Toh, May 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models
Ling-Qi Zhang, Zahra Kadkhodaie, Eero P Simoncelli, David H. Brainard, May 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
Shang Liu, Zhongze Cai, Guanting Chen, Xiaocheng Li, May 2025
[openreview] [pdf] [bib] -
A Theoretical Study of Neural Network Expressive Power via Manifold Topology
Jiachen Yao, Lingjie Yi, Mayank Goswami, Chao Chen, May 2025
[openreview] [pdf] [bib] -
UniZero: Generalized and Efficient Planning with Scalable Latent World Models
Yuan Pu, Yazhe Niu, Zhenjie Yang, Jiyuan Ren, Hongsheng Li, Yu Liu, May 2025
[openreview] [pdf] [bib] [code] -
T2L: Efficient Zero-Shot Action Recognition with Temporal Token Learning
Shahzad Ahmad, Sukalpa Chanda, Yogesh S Rawat, May 2025
[openreview] [pdf] [bib] [code] -
Ctrl-V: Higher Fidelity Autonomous Vehicle Video Generation with Bounding-Box Controlled Object Motion
Ge Ya Luo, ZhiHao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal, May 2025
[openreview] [pdf] [bib] [code] [video] -
Node Feature Forecasting in Temporal Graphs: an Interpretable Online Algorithm
Aniq Ur Rahman, Justin Coon, May 2025
[openreview] [pdf] [bib] [code] -
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
MASAYUKI TAKAYAMA, Tadahisa OKUDA, Thong Pham, Tatsuyoshi Ikenoue, Shingo Fukuma, Shohei Shimizu, Akiyoshi Sannai, May 2025
[openreview] [pdf] [bib] [code] -
Efficient Open Set Single Image Test Time Adaptation of Vision Language Models
Manogna Sreenivas, Soma Biswas, May 2025
[openreview] [pdf] [bib] [code] -
Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks
Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo, May 2025
[openreview] [pdf] [bib] [code] -
Language Models Are Good Tabular Learners
Zhenhan Huang, Kavitha Srinivas, Horst Samulowitz, Niharika S. D'Souza, Charu C. Aggarwal, Pin-Yu Chen, Jianxi Gao, May 2025
[openreview] [pdf] [bib] [code] -
A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios
Xiachong Feng, Longxu Dou, Minzhi Li, Qinghao Wang, Yu Guo, Haochuan Wang, Chang Ma, Lingpeng Kong, May 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo, Leong Fang Yu, Michelle Adeline, Julia K. Lau, Hwa Hui Tew, Arghya Pal, VISHNU MONN BASKARAN, Chee-Ming Ting, Raphael CW Phan, May 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Remembering to Be Fair Again: Reproducing Non-Markovian Fairness in Sequential Decision Making
Domonkos Nagy, Lohithsai Yadala Chanchu, Krystof Bobek, Xin Zhou, Jacobus Smit, May 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility Event: reproml.org/MLRC/2025/Journal_Track -
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
Bhishma Dedhia, Niraj Jha, May 2025
[openreview] [pdf] [bib] [code] -
When Should Reinforcement Learning Use Causal Reasoning?
Oliver Schulte, Pascal Poupart, May 2025
[openreview] [pdf] [bib] [video]
Certifications: Survey -
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
Li Guo, George Andriopoulos, Zifan Zhao, Zixuan Dong, Shuyang Ling, Keith W. Ross, May 2025
[openreview] [pdf] [bib] [code] -
Lurie Networks with Robust Convergent Dynamics
Carl R Richardson, Matthew C. Turner, Steve R. Gunn, May 2025
[openreview] [pdf] [bib] [code] -
LocalFormer: Mitigating Over-Globalising in Transformers on Graphs with Localised Training
Naganand Yadati, May 2025
[openreview] [pdf] [bib] -
[RE] GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
Tyme Chatupanyachotikul, Leonard Horns, Matei Nastase, May 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation
Robin Ghyselinck, Valentin Delchevalerie, Bruno Dumas, Benoit Frenay, May 2025
[openreview] [pdf] [bib] [code] -
LEGO-Learn: Label-Efficient Graph Open-Set Learning
Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding, Yue Zhao, May 2025
[openreview] [pdf] [bib] -
Generalized Prediction Set with Bandit Feedback
Zhou Wang, Xingye Qiao, May 2025
[openreview] [pdf] [bib] -
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models
Salma Abdel Magid, Weiwei Pan, Simon Warchol, Grace Guo, Junsik Kim, Mahia Rahman, Hanspeter Pfister, May 2025
[openreview] [pdf] [bib] [code] -
GeNIe: Generative Hard Negative Images Through Diffusion
Soroush Abbasi Koohpayegani, Anuj Singh, Navaneet K L, Hamed Pirsiavash, Hadi J. Rad, May 2025
[openreview] [pdf] [bib] [code] -
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
Jixiang Qing, Rebecca D. Langdon, Robert Matthew Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener, May 2025
[openreview] [pdf] [bib] [code] -
A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks
Xinzhe Li, May 2025
[openreview] [pdf] [bib] [code] -
Neural Deconstruction Search for Vehicle Routing Problems
André Hottung, Paula Wong-Chung, Kevin Tierney, May 2025
[openreview] [pdf] [bib] [code] -
Deflated Dynamics Value Iteration
Jongmin Lee, Amin Rakhsha, Ernest K. Ryu, Amir-massoud Farahmand, May 2025
[openreview] [pdf] [bib] [code] -
Generating Symbolic World Models via Test-time Scaling of Large Language Models
Zhouliang Yu, Yuhuan Yuan, Tim Z. Xiao, Fuxiang Frank Xia, Jie Fu, Ge Zhang, Ge lin, Weiyang Liu, May 2025
[openreview] [pdf] [bib] -
Personalized Layer Selection for Graph Neural Networks
Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Srijan Kumar, Mahashweta Das, May 2025
[openreview] [pdf] [bib] [code] [video] -
Graph Theory-Based Deep Graph Similarity Learning: A Unified Survey of Pipeline, Techniques, and Challenges
Zhouyang LIU, Ning Liu, Yixin Chen, Ziqing Wen, Jiezhong He, Dongsheng Li, May 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space
Nabarun Goswami, Yusuke Mukuta, Tatsuya Harada, May 2025
[openreview] [pdf] [bib] -
Optimizing Cycle Life Prediction of Lithium-ion Batteries via a Physics-Informed Model
Nathan Sun, Daniel Nicolae, Sara Sameer, Karena Yan, May 2025
[openreview] [pdf] [bib] [code] -
When SNN meets ANN: Error-Free ANN-to-SNN Conversion for Extreme Edge Efficiency
Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter Anthony Beerel, May 2025
[openreview] [pdf] [bib] [code] -
ASTRA: A Scene-aware Transformer-based Model for Trajectory Prediction
Izzeddin Teeti, Aniket Thomas, Munish Monga, Sachin Kumar Giroh, Uddeshya Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin, May 2025
[openreview] [pdf] [bib] [code] -
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
Yen Ru Lai, Fu-Chieh Chang, Pei-Yuan Wu, May 2025
[openreview] [pdf] [bib] [code] -
Variational Stochastic Gradient Descent for Deep Neural Networks
Anna Kuzina, Haotian Chen, Babak Esmaeili, Jakub M. Tomczak, May 2025
[openreview] [pdf] [bib] -
Non-Myopic Multi-Objective Bayesian Optimization
Syrine Belakaria, Alaleh Ahmadian, Barbara E Engelhardt, Stefano Ermon, Jana Doppa, May 2025
[openreview] [pdf] [bib] -
Investigating Continual Pretraining in Large Language Models: Insights and Implications
Çağatay Yıldız, Nishaanth Kanna Ravichandran, Nitin Sharma, Matthias Bethge, Beyza Ermis, April 2025
[openreview] [pdf] [bib]
Certifications: J2C -
A Gold Standard Dataset for the Reviewer Assignment Problem
Ivan Stelmakh, John Frederick Wieting, Yang Xi, Graham Neubig, Nihar B Shah, April 2025
[openreview] [pdf] [bib] [code] -
Efficient Exploration in Multi-Agent Reinforcement Learning via Farsighted Self-Direction
Tiancheng Lao, Xudong Guo, Mengge Liu, Junjie Yu, Yi Liu, Wenhui Fan, April 2025
[openreview] [pdf] [bib] [code] -
Faithful Interpretation for Graph Neural Networks
Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang, April 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility Featured J2C -
Random Policy Enables In-Context Reinforcement Learning within Trust Horizons
Weiqin Chen, Santiago Paternain, April 2025
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Semantic-Syntactic Discrepancy in Images (SSDI): Learning Meaning and Order of Features from Natural Images
Chun Tao, Timur Ibrayev, Kaushik Roy, April 2025
[openreview] [pdf] [bib] [code] [video] -
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
Apurv Verma, Satyapriya Krishna, Sebastian Gehrmann, Madhavan Seshadri, Anu Pradhan, John A. Doucette, David Rabinowitz, Leslie Barrett, Tom Ault, Hai Phan, April 2025
[openreview] [pdf] [bib] [code] -
Reinforcement Learning from Bagged Reward
Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama, April 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
RS-Reg: Probabilistic and Robust Certified Regression through Randomized Smoothing
Aref Miri Rekavandi, Olga Ohrimenko, Benjamin I. P. Rubinstein, April 2025
[openreview] [pdf] [bib] [code] -
A functional framework for nonsmooth autodiff with {\it maxpooling} functions
Bruno Després, April 2025
[openreview] [pdf] [bib] -
∇QDARTS: Quantization as an Elastic Dimension to Differentiable NAS
Payman Behnam, Uday Kamal, Sanjana Vijay Ganesh, Zhaoyi Li, Michael Andrew Jurado, Alind Khare, Igor Fedorov, Gaowen Liu, Alexey Tumanov, April 2025
[openreview] [pdf] [bib] [code] -
Piecewise Constant Spectral Graph Neural Network
Vahan Martirosyan, Jhony H. Giraldo, Fragkiskos D. Malliaros, April 2025
[openreview] [pdf] [bib] [code] -
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach
Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li, April 2025
[openreview] [pdf] [bib] -
Speech Synthesis By Unrolling Diffusion Process using Neural Network Layers
Peter Ochieng, April 2025
[openreview] [pdf] [bib] [code] -
Gaussian Pre-Activations in Neural Networks: Myth or Reality?
Pierre Wolinski, Julyan Arbel, April 2025
[openreview] [pdf] [bib] [code] -
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs
Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang, April 2025
[openreview] [pdf] [bib] [code] -
Heterophily-informed Message Passing
Haishan Wang, Arno Solin, Vikas K Garg, April 2025
[openreview] [pdf] [bib] [code] -
Robust Model Selection of Gaussian Graphical Models
Abrar Zahin, Rajasekhar Anguluri, Lalitha Sankar, Oliver Kosut, Gautam Dasarathy, April 2025
[openreview] [pdf] [bib] -
Sample, estimate, aggregate: A recipe for causal discovery foundation models
Menghua Wu, Yujia Bao, Regina Barzilay, Tommi Jaakkola, April 2025
[openreview] [pdf] [bib] [code] -
A Learning-Based Framework for Fair and Scalable Solution Generation in Kidney Exchange Problems
William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi, April 2025
[openreview] [pdf] [bib] -
Double Horizon Model-Based Policy Optimization
Akihiro Kubo, Paavo Parmas, Shin Ishii, April 2025
[openreview] [pdf] [bib]
Certifications: Event: rl-conference.cc/RLC/2025/Journal_Track -
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen, Gabriel L. Oliveira, Hossein Sharifi-Noghabi, Tristan Sylvain, April 2025
[openreview] [pdf] [bib] -
Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees
Jiahe Lin, Yikai Zhang, George Michailidis, April 2025
[openreview] [pdf] [bib] [code] -
Generalizable and Robust Spectral Method for Multi-view Representation Learning
Amitai Yacobi, Ofir Lindenbaum, Uri Shaham, April 2025
[openreview] [pdf] [bib] [code] -
Out-of-Distribution Learning with Human Feedback
Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li, April 2025
[openreview] [pdf] [bib] -
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning
Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni, April 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Investigating Generalization Behaviours of Generative Flow Networks
Lazar Atanackovic, Emmanuel Bengio, April 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
MiniFold: Simple, Fast, and Accurate Protein Structure Prediction
Jeremy Wohlwend, Mateo Reveiz, Matt McPartlon, Axel Feldmann, Wengong Jin, Regina Barzilay, April 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured -
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning
Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Wenjun Zeng, Glen Berseth, April 2025
[openreview] [pdf] [bib]
Certifications: Event: rl-conference.cc/RLC/2025/Journal_Track -
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha, Kyunghyun Cho, April 2025
[openreview] [pdf] [bib] [code] -
When Are Bias-Free ReLU Networks Effectively Linear Networks?
Yedi Zhang, Andrew M Saxe, Peter E. Latham, April 2025
[openreview] [pdf] [bib] -
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics
Yichi Zhang, Zhihao Duan, Yuning Huang, Fengqing Zhu, April 2025
[openreview] [pdf] [bib] -
Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl, April 2025
[openreview] [pdf] [bib] [code] [video] -
Connecting Parameter Magnitudes and Hessian Eigenspaces at Scale using Sketched Methods
Andres Fernandez, Frank Schneider, Maren Mahsereci, Philipp Hennig, April 2025
[openreview] [pdf] [bib] [code] [video] -
Dimension reduction via score ratio matching
Ricardo Baptista, Michael Brennan, Youssef Marzouk, April 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space
Sheng Yang, Peihan Liu, Cengiz Pehlevan, April 2025
[openreview] [pdf] [bib] [code] -
Can Kernel Methods Explain How the Data Affects Neural Collapse?
Vignesh Kothapalli, Tom Tirer, April 2025
[openreview] [pdf] [bib] [code] -
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
Prateek Yadav, Leshem Choshen, Colin Raffel, Mohit Bansal, April 2025
[openreview] [pdf] [bib] -
MaxCutBench: Revisiting and Benchmarking Graph Neural Networks for Maximum Cut
Ankur Nath, Alan Kuhnle, April 2025
[openreview] [pdf] [bib] -
Future-aware Safe Active Learning of Time Varying Systems using Gaussian Processes
Markus Lange-Hegermann, Christoph Zimmer, April 2025
[openreview] [pdf] [bib] -
VLM’s Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models
Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi, Lee Hyun, Tae-Hyun Oh, April 2025
[openreview] [pdf] [bib] [code] -
Jet: A Modern Transformer-Based Normalizing Flow
Alexander Kolesnikov, André Susano Pinto, Michael Tschannen, April 2025
[openreview] [pdf] [bib] [code] -
Deep Koopman Learning using Noisy Data
Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou, April 2025
[openreview] [pdf] [bib] -
CoDe: Blockwise Control for Denoising Diffusion Models
Anuj Singh, Sayak Mukherjee, Ahmad Beirami, Hadi J. Rad, April 2025
[openreview] [pdf] [bib] [code] -
Autoregressive Models in Vision: A Survey
Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong, April 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review
Sofiane ENNADIR, Gabriela Zarzar Gandler, Filip Cornell, Lele Cao, Oleg Smirnov, Tianze Wang, Levente Zólyomi, Björn Brinne, Sahar Asadi, April 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Fairness-Aware Dense Subgraph Discovery
Emmanouil Kariotakis, Nicholas D Sidiropoulos, Aritra Konar, April 2025
[openreview] [pdf] [bib] [code] -
LLM-Guided Self-Supervised Tabular Learning With Task-Specific Pre-text Tasks
Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan O Arik, Jinsung Yoon, April 2025
[openreview] [pdf] [bib] [code] [video] -
FragFormer: A Fragment-based Representation Learning Framework for Molecular Property Prediction
Jiaxi Wang, Yaosen Min, Miao Li, Ji Wu, April 2025
[openreview] [pdf] [bib] [code] -
When resampling/reweighting improves feature learning in imbalanced classification? A toy-model study
Tomoyuki Obuchi, Toshiyuki Tanaka, April 2025
[openreview] [pdf] [bib] -
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network
Tatyana Benko, Martin Buck, Ilya Amburg, Stephen J. Young, Sinan Guven Aksoy, April 2025
[openreview] [pdf] [bib] -
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim, April 2025
[openreview] [pdf] [bib] [code] -
Amphibian: A Meta-Learning Framework for Rehearsal-Free, Fast Online Continual Learning
Gobinda Saha, Kaushik Roy, April 2025
[openreview] [pdf] [bib] [code] -
Sample-efficient decoding of visual stimuli from fMRI through inter-individual functional alignment
Alexis Thual, Yohann Benchetrit, Felix Geilert, Jérémy Rapin, Iurii Makarov, Stanislas Dehaene, Bertrand Thirion, Hubert Banville, Jean-Remi King, April 2025
[openreview] [pdf] [bib] -
LLM-Select: Feature Selection with Large Language Models
Daniel P Jeong, Zachary Chase Lipton, Pradeep Kumar Ravikumar, April 2025
[openreview] [pdf] [bib] [code] -
Reproducibility Study of "Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation"
Jose L. Garcia, Karolina Hajkova, Maria Marchenko, Carlos Miguel Patiño, April 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: reproml.org/MLRC/2025/Journal_Track -
Change Point Detection in Dynamic Graphs with Decoder-only Latent Space Model
Yik Lun Kei, Jialiang Li, Hangjian Li, Yanzhen Chen, OSCAR HERNAN MADRID PADILLA, April 2025
[openreview] [pdf] [bib] [code] [video] -
Adaptive Physics-informed Neural Networks: A Survey
Edgar Torres, Mathias Niepert, April 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Design Editing for Offline Model-based Optimization
Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu, April 2025
[openreview] [pdf] [bib] [code] -
Referential communication in heterogeneous communities of pre-trained visual deep networks
Matéo Mahaut, Roberto Dessi, Francesca Franzon, Marco Baroni, April 2025
[openreview] [pdf] [bib] [code] -
MemLLM: Finetuning LLMs to Use Explicit Read-Write Memory
Ali Modarressi, Abdullatif Köksal, Ayyoob Imani, Mohsen Fayyaz, Hinrich Schuetze, April 2025
[openreview] [pdf] [bib] [code] -
Accelerating Non-Conjugate Gaussian Processes By Trading Off Computation For Uncertainty
Lukas Tatzel, Jonathan Wenger, Frank Schneider, Philipp Hennig, April 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
Makoto Takamoto, Daniel Onoro Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis, April 2025
[openreview] [pdf] [bib] [code] -
SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning
Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang, April 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Oblique Bayesian Additive Regression Trees
Paul-Hieu V. Nguyen, Ryan Yee, Sameer Deshpande, April 2025
[openreview] [pdf] [bib] -
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
RENCHUNZI XIE, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An, April 2025
[openreview] [pdf] [bib] -
Scaling Laws for Predicting Downstream Performance in LLMs
Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji, April 2025
[openreview] [pdf] [bib] -
Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextual Integrity
Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle, April 2025
[openreview] [pdf] [bib]
Certifications: Reproducibility -
EDM-TTS: Efficient Dual-Stage Masked Modeling for Alignment-Free Text-to-Speech Synthesis
Nabarun Goswami, Hanqin Wang, Tatsuya Harada, April 2025
[openreview] [pdf] [bib] [code] -
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
Tobias Ladner, Michael Eichelbeck, Matthias Althoff, April 2025
[openreview] [pdf] [bib] [code] -
An Adversarial Perspective on Machine Unlearning for AI Safety
Jakub Łucki, Boyi Wei, Yangsibo Huang, Peter Henderson, Florian Tramèr, Javier Rando, April 2025
[openreview] [pdf] [bib] [code] [video] -
Bayesian Transferability Assessment for Spiking Neural Networks
Haiqing Hao, Wenhui Wang, April 2025
[openreview] [pdf] [bib] [code] -
Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications
Arwin Gansekoele, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei, April 2025
[openreview] [pdf] [bib] [code] -
Multi-Bellman operator for convergence of $Q$-learning with linear function approximation
Diogo S. Carvalho, Pedro A. Santos, Francisco S. Melo, April 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas, April 2025
[openreview] [pdf] [bib] [code] -
Open Problems in Technical AI Governance
Anka Reuel, Benjamin Bucknall, Stephen Casper, Timothy Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, David Bau, Paul Bricman, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel Kochenderfer, Robert Trager, April 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Reward Distance Comparisons Under Transition Sparsity
Clement Nyanhongo, Bruno Miranda Henrique, Eugene Santos, April 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: rl-conference.cc/RLC/2025/Journal_Track -
Reinforcement Learning for Causal Discovery without Acyclicity Constraints
Bao Duong, Hung Le, Biwei Huang, Thin Nguyen, April 2025
[openreview] [pdf] [bib] [code] -
Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs
Kishan Gurumurthy, Himanshu Pal, Charu Sharma, April 2025
[openreview] [pdf] [bib] [code] [video] -
ResiDual Transformer Alignment with Spectral Decomposition
Lorenzo Basile, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, Francesco Locatello, April 2025
[openreview] [pdf] [bib] [code] -
Dynamic Pricing in the Linear Valuation Model using Shape Constraints
Daniele Bracale, Moulinath Banerjee, Yuekai Sun, Salam Turki, Kevin Stoll, April 2025
[openreview] [pdf] [bib] [code] -
Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC)
Marc A. Tunnell, Zachary DeBruine, Erin Carrier, April 2025
[openreview] [pdf] [bib] [code] -
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization
Han Guo, Ramtin Hosseini, Ruiyi Zhang, Sai Ashish Somayajula, Ranak Roy Chowdhury, Rajesh K. Gupta, Pengtao Xie, April 2025
[openreview] [pdf] [bib] [code] -
Latte: Latent Diffusion Transformer for Video Generation
Xin Ma, Yaohui Wang, Xinyuan Chen, Gengyun Jia, Ziwei Liu, Yuan-Fang Li, Cunjian Chen, Yu Qiao, April 2025
[openreview] [pdf] [bib] [code] -
Graph Potential Field Neural Network for Massive Agents Group-wise Path Planning
Yueming Lyu, Xiaowei Zhou, Xingrui Yu, Ivor Tsang, April 2025
[openreview] [pdf] [bib] -
Rethinking Patch Dependence for Masked Autoencoders
Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, XuDong Wang, Adam Yala, Trevor Darrell, Alexei A Efros, Ken Goldberg, April 2025
[openreview] [pdf] [bib] [code] -
A Systematic Evaluation of the Planning and Scheduling Abilities of the Reasoning Model o1
Karthik Valmeekam, Kaya Stechly, Atharva Gundawar, Subbarao Kambhampati, April 2025
[openreview] [pdf] [bib] [code] -
Evaluating Compositional Scene Understanding in Multimodal Generative Models
Shuhao Fu, Andrew Jun Lee, Yixin Anna Wang, Ida Momennejad, Trevor Bihl, Hongjing Lu, Taylor Whittington Webb, April 2025
[openreview] [pdf] [bib] [code] -
Distributed and Secure Kernel-Based Quantum Machine Learning
Arjhun Swaminathan, Mete Akgün, April 2025
[openreview] [pdf] [bib] [code] -
An Embedding is Worth a Thousand Noisy Labels
Francesco Di Salvo, Sebastian Doerrich, Ines Rieger, Christian Ledig, April 2025
[openreview] [pdf] [bib] [code] -
LTL-Constrained Policy Optimization with Cycle Experience Replay
Ameesh Shah, Cameron Voloshin, Chenxi Yang, Abhinav Verma, Swarat Chaudhuri, Sanjit A. Seshia, April 2025
[openreview] [pdf] [bib] [code] -
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization
Akiyoshi Sannai, Yasunari Hikima, Ken Kobayashi, Akinori Tanaka, Naoki Hamada, April 2025
[openreview] [pdf] [bib] [code] -
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
Hoang Anh Dung, Cuong C. Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro, April 2025
[openreview] [pdf] [bib] [code] -
Controlled Training Data Generation with Diffusion Models
Teresa Yeo, Andrei Atanov, Harold Luc Benoit, Aleksandr Alekseev, Ruchira Ray, Kairui Wang, Amir Zamir, April 2025
[openreview] [pdf] [bib] [code] [video] -
(Accelerated) Noise-adaptive Stochastic Heavy-Ball Momentum
Anh Quang Dang, Reza Babanezhad Harikandeh, Sharan Vaswani, April 2025
[openreview] [pdf] [bib] [code] [video] -
Quantile Activation: Correcting a failure mode of traditional ML models
Aditya Challa, Sravan Danda, Laurent Najman, Snehanshu Saha, April 2025
[openreview] [pdf] [bib] [code] -
Contextualized Messages Boost Graph Representations
Brian Godwin Lim, Galvin Brice Sy Lim, Renzo Roel Tan, Kazushi Ikeda, April 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision
Aditya Hemant Shahane, Prathosh AP, Sandeep Kumar, April 2025
[openreview] [pdf] [bib] -
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Nisha L. Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott, April 2025
[openreview] [pdf] [bib] [code] -
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting
Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen, April 2025
[openreview] [pdf] [bib] [code] [video] -
On Learning Representations for Tabular Data Distillation
Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne, April 2025
[openreview] [pdf] [bib] [code] -
Stabilizing the Kumaraswamy Distribution
Max Wasserman, Gonzalo Mateos, April 2025
[openreview] [pdf] [bib] [code] -
Empirical Bayes Trend Filtering Through a Variational Inference Framework
Dongyue Xie, April 2025
[openreview] [pdf] [bib] -
Multi-Output Distributional Fairness via Post-Processing
Gang Li, Qihang Lin, Ayush Ghosh, Tianbao Yang, April 2025
[openreview] [pdf] [bib] [code] -
Meta-Learning to Teach Semantic Prompts for Open Domain Generalization in Vision-Language Models
Shirsha Bose, Mainak Singha, Ankit Jha, Souradeep Mukhopadhyay, Biplab Banerjee, April 2025
[openreview] [pdf] [bib] -
Revisiting Deep Hybrid Models for Out-of-Distribution Detection
Paul-Ruben Schlumbom, Eibe Frank, April 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
An Efficient Training Algorithm for Models with Block-wise Sparsity
Ding Zhu, Zhiqun Zuo, Mohammad Mahdi Khalili, April 2025
[openreview] [pdf] [bib] [code] -
Almost Sure Convergence of Stochastic Gradient Methods under Gradient Domination
Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring, April 2025
[openreview] [pdf] [bib] -
Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models
Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad, April 2025
[openreview] [pdf] [bib] [code] -
LitLLMs, LLMs for Literature Review: Are we there yet?
Shubham Agarwal, Gaurav Sahu, Abhay Puri, Issam H. Laradji, Krishnamurthy Dj Dvijotham, Jason Stanley, Laurent Charlin, Christopher Pal, April 2025
[openreview] [pdf] [bib] [code] [video] -
DeformTime: capturing variable dependencies with deformable attention for time series forecasting
Yuxuan Shu, Vasileios Lampos, April 2025
[openreview] [pdf] [bib] [code] -
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi, April 2025
[openreview] [pdf] [bib] -
$f$-Divergence Policy Optimization in Fully Decentralized Cooperative MARL
Kefan Su, Zongqing Lu, March 2025
[openreview] [pdf] [bib] -
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
William Chen, Oier Mees, Aviral Kumar, Sergey Levine, March 2025
[openreview] [pdf] [bib] -
A Survey on the Honesty of Large Language Models
Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam, March 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Implicit Bias and Fast Convergence Rates for Self-attention
Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis, March 2025
[openreview] [pdf] [bib] -
Decomposing The Dark Matter of Sparse Autoencoders
Joshua Engels, Logan Riggs Smith, Max Tegmark, March 2025
[openreview] [pdf] [bib] [code] -
Predicting sub-population specific viral evolution
Wenxian Shi, Menghua Wu, Regina Barzilay, March 2025
[openreview] [pdf] [bib] [code] -
Simulation-based Bayesian Inference from Privacy Protected Data
Yifei Xiong, Nianqiao Ju, Sanguo Zhang, March 2025
[openreview] [pdf] [bib] [code] -
Illustrated Landmark Graphs for Long-horizon Policy Learning
Christopher Watson, Arjun Krishna, Rajeev Alur, Dinesh Jayaraman, March 2025
[openreview] [pdf] [bib] [code] [video] -
Adaptive Incentive Design for Markov Decision Processes with Unknown Rewards
Haoxiang Ma, Shuo Han, Ahmed Hemida, Charles A kamhoua, Jie Fu, March 2025
[openreview] [pdf] [bib] [code] -
Influence Learning in Complex Systems
Elena Congeduti, Roberto Rocchetta, Frans A Oliehoek, March 2025
[openreview] [pdf] [bib] -
An Information Theoretic Approach to Machine Unlearning
Jack Foster, Kyle Fogarty, Stefan Schoepf, Zack Dugue, Cengiz Oztireli, Alexandra Brintrup, March 2025
[openreview] [pdf] [bib] [code] -
Emergent representations in networks trained with the Forward-Forward algorithm
Niccolo Tosato, Lorenzo Basile, Emanuele Ballarin, Giuseppe De Alteriis, Alberto Cazzaniga, Alessio ansuini, March 2025
[openreview] [pdf] [bib] [code] -
Robust Symbolic Regression for Dynamical System Identification
Ramzi Dakhmouche, Ivan Lunati, Hossein Gorji, March 2025
[openreview] [pdf] [bib] [code] -
Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation
Niccolò Avogaro, Thomas Frick, Mattia Rigotti, Andrea Bartezzaghi, Filip Janicki, A. Cristiano I. Malossi, Konrad Schindler, Roy Assaf, March 2025
[openreview] [pdf] [bib] -
Probabilistic neural operators for functional uncertainty quantification
Christopher Bülte, Philipp Scholl, Gitta Kutyniok, March 2025
[openreview] [pdf] [bib] [code] -
Decision-Focused Surrogate Modeling for Mixed-Integer Linear Optimization
Shivi Dixit, Rishabh Gupta, Qi Zhang, March 2025
[openreview] [pdf] [bib] [code] -
A Vector Bernstein Inequality for Self-Normalized Martingales
Ingvar Ziemann, March 2025
[openreview] [pdf] [bib] -
Long-context LLMs Struggle with Long In-context Learning
Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, Wenhu Chen, March 2025
[openreview] [pdf] [bib] [code] -
Meta-learning Population-based Methods for Reinforcement Learning
Johannes Hog, Raghu Rajan, André Biedenkapp, Noor Awad, Frank Hutter, Vu Nguyen, March 2025
[openreview] [pdf] [bib] [code] -
Posterior Sampling for Reinforcement Learning on Graphs
Arnaud Robert, Aldo A. Faisal, Ciara Pike-Burke, March 2025
[openreview] [pdf] [bib] [code] -
A limitation on black-box dynamics approaches to Reinforcement Learning
Brieuc Pinon, Raphael Jungers, Jean-Charles Delvenne, March 2025
[openreview] [pdf] [bib] -
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors
Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, Francois Charton, Kristin E. Lauter, March 2025
[openreview] [pdf] [bib] -
What’s Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias
Aida Mohammadshahi, Yani Ioannou, March 2025
[openreview] [pdf] [bib] -
Efficient Multi-Agent Cooperation Learning through Teammate Lookahead
Feng Chen, Xinwei Chen, Rong-Jun Qin, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, March 2025
[openreview] [pdf] [bib] -
Memory-Modular Classification: Learning to Generalize with Memory Replacement
Dahyun Kang, Ahmet Iscen, Eunchan Jo, Sua Choi, Minsu Cho, Cordelia Schmid, March 2025
[openreview] [pdf] [bib] [code] -
Efficient Training of Multi-task Neural Solver for Combinatorial Optimization
Chenguang Wang, Zhang-Hua Fu, Pinyan Lu, Tianshu Yu, March 2025
[openreview] [pdf] [bib] [code] -
Uncovering Strong Lottery Tickets in Graph Transformers: A Path to Memory Efficient and Robust Graph Learning
Hiroaki Ito, Jiale Yan, Hikari Otsuka, Kazushi Kawamura, Masato Motomura, Thiem Van Chu, Daichi Fujiki, March 2025
[openreview] [pdf] [bib] -
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting
Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohan Sai Singamsetti, Fengyu Sun, Wei Lu, Di Niu, March 2025
[openreview] [pdf] [bib] [code] -
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade, Mahdi Soltanolkotabi, Mohammad Rostami, March 2025
[openreview] [pdf] [bib] [code] -
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun, March 2025
[openreview] [pdf] [bib] [code] -
Sparsified State-Space Models are Efficient Highway Networks
Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin, March 2025
[openreview] [pdf] [bib] -
Removing Structured Noise using Diffusion Models
Tristan Stevens, Hans van Gorp, Faik C Meral, Junseob Shin, Jason Yu, Jean-luc Robert, Ruud Van Sloun, March 2025
[openreview] [pdf] [bib] [code] -
On Using Certified Training towards Empirical Robustness
Alessandro De Palma, Serge Durand, Zakaria Chihani, François Terrier, Caterina Urban, March 2025
[openreview] [pdf] [bib] [code] -
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
Weixin Liang, LILI YU, Liang Luo, Srini Iyer, Ning Dong, Chunting Zhou, Gargi Ghosh, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Xi Victoria Lin, March 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Multiplayer Information Asymmetric Contextual Bandits
William Chang, Yuanhao Lu, March 2025
[openreview] [pdf] [bib] -
Relationship between Batch Size and Number of Steps Needed for Nonconvex Optimization of Stochastic Gradient Descent using Armijo-Line-Search Learning Rate
Yuki Tsukada, Hideaki Iiduka, March 2025
[openreview] [pdf] [bib] [code] -
Daphne: Multi-Pass Compilation of Probabilistic Programs into Graphical Models and Neural Networks
Christian Dietrich Weilbach, Frank Wood, March 2025
[openreview] [pdf] [bib] [code] -
Cluster Tree for Nearest Neighbor Search
Dan Kushnir, Sandeep Silwal, March 2025
[openreview] [pdf] [bib] -
Neuron-based explanations of neural networks sacrifice completeness and interpretability
Nolan Simran Dey, Eric Taylor, Alexander Wong, Bryan P. Tripp, Graham W. Taylor, March 2025
[openreview] [pdf] [bib] [code] -
Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection
Moussa Kassem Sbeyti, Nadja Klein, Azarm Nowzad, Fikret Sivrikaya, Sahin Albayrak, March 2025
[openreview] [pdf] [bib] [code] -
Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation
Michael Hagmann, Michael Staniek, Stefan Riezler, March 2025
[openreview] [pdf] [bib] [code] -
Understanding and Robustifying Sub-domain Alignment for Domain Adaptation
Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui, Keyu Li, Michael Hunter Klein, Vahid Tarokh, David Carlson, March 2025
[openreview] [pdf] [bib] [code] -
SAFE-NID: Self-Attention with Normalizing-Flow Encodings for Network Intrusion Detection
Brian Matejek, Ashish Gehani, Nathaniel D. Bastian, Daniel J Clouse, Bradford J Kline, Susmit Jha, March 2025
[openreview] [pdf] [bib] [code] -
A Unified View of Double-Weighting for Marginal Distribution Shift
José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu, March 2025
[openreview] [pdf] [bib] [code] [video] -
Distilling Datasets Into Less Than One Image
Asaf Shul, Eliahu Horwitz, Yedid Hoshen, March 2025
[openreview] [pdf] [bib] [code] -
On Using Secure Aggregation in Differentially Private Federated Learning with Multiple Local Steps
Mikko A. Heikkilä, March 2025
[openreview] [pdf] [bib] [code] -
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision
Pranav Jeevan P, Amit Sethi, March 2025
[openreview] [pdf] [bib] [code] -
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)
Nicolas Drapier, Aladine Chetouani, Aurélien Chateigner, March 2025
[openreview] [pdf] [bib] -
Lower Ricci Curvature for Efficient Community Detection
Yun Jin Park, Didong Li, March 2025
[openreview] [pdf] [bib] [code] [video] -
Meta-learning Optimizers for Communication-Efficient Learning
Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky, March 2025
[openreview] [pdf] [bib] [code] -
Sparse Decomposition of Graph Neural Networks
Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates, March 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques
Shwai He, Daize Dong, Liang Ding, Ang Li, March 2025
[openreview] [pdf] [bib] [code] -
Ensemble and Mixture-of-Experts DeepONets For Operator Learning
Ramansh Sharma, Varun Shankar, March 2025
[openreview] [pdf] [bib] -
HARE: Human-in-the-Loop Algorithmic Recourse
Sai Srinivas Kancheti, Rahul Vigneswaran, Bamdev Mishra, Vineeth N. Balasubramanian, March 2025
[openreview] [pdf] [bib] [code] -
Domain Generalization for Time Series: Enhancing Drilling Regression Models for Stick-Slip Index Prediction
Hana YAHIA, Bruno Figliuzzi, Florent Di Meglio, Gerbaud, Stephane Menand, Mohamed MAHJOUB, March 2025
[openreview] [pdf] [bib] -
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn, March 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C -
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
Akshay Kumar, Jarvis Haupt, March 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Unlabelled Compressive Sensing under Sparse Permutation and Prior Information
Garweet Sresth, Satish Mulleti, Ajit Rajwade, March 2025
[openreview] [pdf] [bib] [code] -
A unifying framework for generalised Bayesian online learning in non-stationary environments
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alex Shestopaloff, Kevin Patrick Murphy, March 2025
[openreview] [pdf] [bib] [code] -
Variational Neural Stochastic Differential Equations with Change Points
Yousef El-Laham, Zhongchang Sun, Haibei Zhu, Tucker Balch, Svitlana Vyetrenko, March 2025
[openreview] [pdf] [bib] -
Respecting the limit: Bayesian optimization with a bound on the optimal value
Hanyang Wang, Juergen Branke, Matthias Poloczek, March 2025
[openreview] [pdf] [bib] [code] -
Rethinking Knowledge Transfer in Learning Using Privileged Information
Danil Provodin, Bram van den Akker, Christina Katsimerou, Maurits Clemens Kaptein, Mykola Pechenizkiy, March 2025
[openreview] [pdf] [bib] [code] -
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
Ashka Shah, Adela Frances DePavia, Nathaniel C Hudson, Ian Foster, Rick Stevens, March 2025
[openreview] [pdf] [bib] [code] [video] -
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
Tal Alter, Raz Lapid, Moshe Sipper, March 2025
[openreview] [pdf] [bib] -
CroissantLLM: A Truly Bilingual French-English Language Model
Manuel Faysse, Patrick Fernandes, Nuno M Guerreiro, António Loison, Duarte Miguel Alves, Caio Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, Andre Martins, Gautier Viaud, CELINE HUDELOT, Pierre Colombo, March 2025
[openreview] [pdf] [bib] [code] -
Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
Muheng Li, Ruqi Zhang, March 2025
[openreview] [pdf] [bib] [code] -
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang, Kay Liu, Philip S. Yu, Jianjun Yu, March 2025
[openreview] [pdf] [bib] -
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!
Arash Mari Oriyad, Mohammadali Banayeeanzade, Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah, March 2025
[openreview] [pdf] [bib] [code] -
The Time-Energy Model: Selective Time-Series Forecasting Using Energy-Based Models
Jonas Brusokas, Seshu Tirupathi, Dalin Zhang, Torben Bach Pedersen, March 2025
[openreview] [pdf] [bib] [code] -
Characterizing the Convergence of Game Dynamics via Potentialness
Martin Bichler, Davide Legacci, Panayotis Mertikopoulos, Matthias Oberlechner, Bary Pradelski, March 2025
[openreview] [pdf] [bib] [code] -
Active Diffusion Subsampling
Oisín Nolan, Tristan Stevens, Wessel L. van Nierop, Ruud Van Sloun, March 2025
[openreview] [pdf] [bib] [code] [video] -
Mixed Sparsity Training: Achieving 4$\times$ FLOP Reduction for Transformer Pretraining
Pihe Hu, Shaolong Li, Xun Wang, Longbo Huang, March 2025
[openreview] [pdf] [bib] [code] -
Online Control-Informed Learning
Zihao Liang, Tianyu Zhou, Zehui Lu, Shaoshuai Mou, March 2025
[openreview] [pdf] [bib] -
Visual Privacy Auditing with Diffusion Models
Kristian Schwethelm, Johannes Kaiser, Moritz Knolle, Sarah Lockfisch, Daniel Rueckert, Alexander Ziller, March 2025
[openreview] [pdf] [bib] -
The BrowserGym Ecosystem for Web Agent Research
Thibault Le Sellier de Chezelles, Maxime Gasse, Alexandre Lacoste, Massimo Caccia, Alexandre Drouin, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Graham Neubig, Quentin Cappart, Russ Salakhutdinov, Nicolas Chapados, March 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Calibrated Probabilistic Forecasts for Arbitrary Sequences
Charles Marx, Volodymyr Kuleshov, Stefano Ermon, March 2025
[openreview] [pdf] [bib]
Certifications: J2C -
State space models can express $n$-gram languages
Vinoth Nandakumar, Qiang Qu, Peng Mi, Tongliang Liu, March 2025
[openreview] [pdf] [bib] [code] -
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Billy Joe Franks, Moshe Eliasof, Semih Cantürk, Guy Wolf, Carola-Bibiane Schönlieb, Sophie Fellenz, Marius Kloft, March 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility Event: gspworkshop.org/GSP/2025/Journal_Track -
Unlearning Personal Data from a Single Image
Thomas De Min, Massimiliano Mancini, Stéphane Lathuilière, Subhankar Roy, Elisa Ricci, March 2025
[openreview] [pdf] [bib] [code] -
FlashAttention on a Napkin: A Diagrammatic Approach to Deep Learning IO-Awareness
Vincent Abbott, Gioele Zardini, March 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert, March 2025
[openreview] [pdf] [bib] [code] -
No Need for Ad-hoc Substitutes: The Expected Cost is a Principled All-purpose Classification Metric
Luciana Ferrer, March 2025
[openreview] [pdf] [bib] [code] -
Generalized Tangent Kernel: A Unified Geometric Foundation for Natural Gradient and Standard Gradient
Qinxun Bai, Steven Rosenberg, Wei Xu, March 2025
[openreview] [pdf] [bib] [code] [video] -
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David OSOWIECHI, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers, March 2025
[openreview] [pdf] [bib] [code] -
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment
Shenao Zhang, Donghan Yu, Hiteshi Sharma, Han Zhong, Zhihan Liu, Ziyi Yang, Shuohang Wang, Hany Hassan Awadalla, Zhaoran Wang, March 2025
[openreview] [pdf] [bib] [code] -
Path-Specific Counterfactual Fairness via Dividend Correction
Daisuke Hatano, Satoshi Hara, Hiromi Arai, March 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis, March 2025
[openreview] [pdf] [bib] [code] -
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai, Jy-yong Sohn, Yicong Chen, S M Iftekharul Alam, Ravikumar Balakrishnan, Suman Banerjee, Nageen Himayat, Kangwook Lee, March 2025
[openreview] [pdf] [bib] [code] -
The 2024 Foundation Model Transparency Index
Rishi Bommasani, Kevin Klyman, Sayash Kapoor, Shayne Longpre, Betty Xiong, Nestor Maslej, Percy Liang, March 2025
[openreview] [pdf] [bib] [code] -
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
Giuseppe Serra, Ben Werner, Florian Buettner, March 2025
[openreview] [pdf] [bib] -
An elementary concentration bound for Gibbs measures arising in statistical learning theory
Kelly Ramsay, Aukosh Jagannath, Shojaeddin Chenouri, March 2025
[openreview] [pdf] [bib] -
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Tobias Bernecker, Ghalia Rehawi, Francesco Paolo Casale, Janine Knauer-Arloth, Annalisa Marsico, March 2025
[openreview] [pdf] [bib] [code] -
Learning Linear Polytree Structural Equation Model
Xingmei Lou, Yu Hu, Xiaodong Li, March 2025
[openreview] [pdf] [bib] [code] -
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation
Pavel Rumiantsev, Mark Coates, March 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators
Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz, March 2025
[openreview] [pdf] [bib] [code] -
Optimizing Estimators of Squared Calibration Errors in Classification
Sebastian Gregor Gruber, Francis R. Bach, March 2025
[openreview] [pdf] [bib] [code] -
Reset-free Reinforcement Learning with World Models
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu, March 2025
[openreview] [pdf] [bib] -
Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance
Qi Zhang, Yi Zhou, Shaofeng Zou, March 2025
[openreview] [pdf] [bib] -
HoSNNs: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng, Peng Li, March 2025
[openreview] [pdf] [bib] -
A Self-Explainable Heterogeneous GNN for Relational Deep Learning
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger, March 2025
[openreview] [pdf] [bib] [code] -
Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series
Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie, March 2025
[openreview] [pdf] [bib] -
Evolution of Discriminator and Generator Gradients in GAN Training: From Fitting to Collapse
Weiguo Gao, Ming Li, March 2025
[openreview] [pdf] [bib] -
Shedding Light on Problems with Hyperbolic Graph Learning
Isay Katsman, Anna Gilbert, March 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
Cycle Conditioning for Robust Representation Learning from Categorical Data
Mohsen Tabejamaat, Farzaneh Etminani, Mattias Ohlsson, March 2025
[openreview] [pdf] [bib] -
A Lean Dataset for International Math Olympiad: Small Steps towards Writing Math Proofs for Hard Problems
Roozbeh Yousefzadeh, Xuenan Cao, March 2025
[openreview] [pdf] [bib] [code] -
Deep Active Learning in the Open World
Tian Xie, Jifan Zhang, Haoyue Bai, Robert D Nowak, February 2025
[openreview] [pdf] [bib] [video] -
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou Siaka SANGARE, Nicolas Dunou, Jhony H. Giraldo, Fragkiskos D. Malliaros, February 2025
[openreview] [pdf] [bib] [code] -
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning
Yilun Kong, Hangyu Mao, Zhao Qi, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao, February 2025
[openreview] [pdf] [bib] -
Combating Inter-Task Confusion and Catastrophic Forgetting by Metric Learning and Re-Using a Past Trained Model
Sayedmoslem Shokrolahi, IL MIN KIM, February 2025
[openreview] [pdf] [bib] [code] -
AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation
Zijun Wang, Haoqin Tu, Jieru Mei, Bingchen Zhao, Yisen Wang, Cihang Xie, February 2025
[openreview] [pdf] [bib] [code] -
Metalearning Continual Learning Algorithms
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber, February 2025
[openreview] [pdf] [bib] [code] -
Meta-Learning for Graphs with Heterogeneous Node Attribute Spaces for Few-Shot Edge Predictions
Zhong Chuang, Yusuke Tanaka, Tomoharu Iwata, February 2025
[openreview] [pdf] [bib] -
Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics
Minttu Alakuijala, Reginald McLean, Isaac Woungang, Nariman Farsad, Samuel Kaski, Pekka Marttinen, Kai Yuan, February 2025
[openreview] [pdf] [bib] [code] [video] -
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
Jiaqi WANG, Yuhang Zhou, Zhixiong Zhang, Qiguang Chen, Yongqiang Chen, James Cheng, February 2025
[openreview] [pdf] [bib] [code] -
FaAlGrad: Fairness through Alignment of Gradients across Different Subpopulations
Nikita Malik, Konda Reddy Mopuri, February 2025
[openreview] [pdf] [bib] [code] [video] -
Faster Diffusion Through Temporal Attention Decomposition
Haozhe Liu, Wentian Zhang, Jinheng Xie, Francesco Faccio, Mengmeng Xu, Tao Xiang, Mike Zheng Shou, Juan-Manuel Perez-Rua, Jürgen Schmidhuber, February 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
TACO Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh, Elias Frantar, Sara Beery, Eldar Kurtic, Dan Alistarh, February 2025
[openreview] [pdf] [bib] -
Global Convergence Rate of Deep Equilibrium Models with General Activations
Lan V. Truong, February 2025
[openreview] [pdf] [bib] [code] -
Nomic Embed: Training a Reproducible Long Context Text Embedder
Zach Nussbaum, John Xavier Morris, Andriy Mulyar, Brandon Duderstadt, February 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators
Sanjeev Raja, Ishan Amin, Fabian Pedregosa, Aditi S. Krishnapriyan, February 2025
[openreview] [pdf] [bib] [code] -
Fair principal component analysis (PCA): minorization-maximization algorithms for Fair PCA, Fair Robust PCA and Fair Sparse PCA
Prabhu babu, Petre Stoica, Astha Saini, February 2025
[openreview] [pdf] [bib] -
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems
Krishna Acharya, Varun Vangala, Jingyan Wang, Juba Ziani, February 2025
[openreview] [pdf] [bib] [code] -
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Zeyu Yang, Han Yu, Peikun Guo, Khadija Zanna, Xiaoxue Yang, Akane Sano, February 2025
[openreview] [pdf] [bib] [code] -
A Neural Material Point Method for Particle-based Emulation
Omer Rochman-Sharabi, Sacha Lewin, Gilles Louppe, February 2025
[openreview] [pdf] [bib] [code] -
Lognormal Mutations and their Use in Detecting Surreptitious Fake Images
Olivier Teytaud, Mariia Zameshina, Tom Sander, Pierre Fernandez, Furong Ye, Laurent Najman, Thomas Bäck, Ismail Labiad, February 2025
[openreview] [pdf] [bib] -
Verbalized Machine Learning: Revisiting Machine Learning with Language Models
Tim Z. Xiao, Robert Bamler, Bernhard Schölkopf, Weiyang Liu, February 2025
[openreview] [pdf] [bib] [code] [video] -
Counterfactual Learning of Stochastic Policies with Continuous Actions
Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Pierre Gaillard, Julien Mairal, February 2025
[openreview] [pdf] [bib] [code] -
Why is constrained neural language generation particularly challenging?
Cristina Garbacea, Qiaozhu Mei, February 2025
[openreview] [pdf] [bib] -
Provable Quantum Algorithm Advantage for Gaussian Process Quadrature
Cristian A. Galvis-Florez, Ahmad Farooq, Simo Särkkä, February 2025
[openreview] [pdf] [bib] [code] -
Differentially Private Source-Target Clustering
Shachar Schnapp, Sivan Sabato, February 2025
[openreview] [pdf] [bib] [code] -
Uncertainty-Based Experience Replay for Task-Agnostic Continual Reinforcement Learning
Adrian Remonda, Cole Corbitt Terrell, Eduardo E. Veas, Marc Masana, February 2025
[openreview] [pdf] [bib] -
Robust Preference Optimization through Reward Model Distillation
Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Peter Shaw, Jonathan Berant, February 2025
[openreview] [pdf] [bib] -
SimPLR: A Simple and Plain Transformer for Efficient Object Detection and Segmentation
Duy Kien Nguyen, Martin R. Oswald, Cees G. M. Snoek, February 2025
[openreview] [pdf] [bib] -
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, February 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
Exploiting Benford's Law for Weight Regularization of Deep Neural Networks
Julius Ott, Huawei Sun, Enrico Rinaldi, Gianfranco Mauro, Lorenzo Servadei, Robert Wille, February 2025
[openreview] [pdf] [bib] [code] -
Are Large Language Models Really Robust to Word-Level Perturbations?
Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao, February 2025
[openreview] [pdf] [bib] -
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey
Amer Essakine, Yanqi Cheng, Chun-Wun Cheng, Lipei Zhang, Zhongying Deng, Lei Zhu, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero, February 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Single-pass Detection of Jailbreaking Input in Large Language Models
Leyla Naz Candogan, Yongtao Wu, Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher, February 2025
[openreview] [pdf] [bib] -
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals
Rudi Coppola, Manuel Mazo Espinosa, February 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs
Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li, February 2025
[openreview] [pdf] [bib] [code] -
An Analytical Model for Overparameterized Learning Under Class Imbalance
Eliav Mor, Yair Carmon, February 2025
[openreview] [pdf] [bib] -
Evaluating the Robustness of Analogical Reasoning in Large Language Models
Martha Lewis, Melanie Mitchell, February 2025
[openreview] [pdf] [bib] -
Comparing the information content of probabilistic representation spaces
Kieran A. Murphy, Sam Dillavou, Danielle Bassett, February 2025
[openreview] [pdf] [bib] [code] -
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh AP, February 2025
[openreview] [pdf] [bib] [code] -
On Memorization in Diffusion Models
Xiangming Gu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Ye Wang, February 2025
[openreview] [pdf] [bib] [code] -
The Sparse Matrix-Based Random Projection: A Study of Binary and Ternary Quantization
Weizhi Lu, Zhongzheng Li, Mingrui Chen, Weiyu Li, February 2025
[openreview] [pdf] [bib] [code] -
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
Francois Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang, February 2025
[openreview] [pdf] [bib] [code] -
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Carlos E. Luis, Alessandro Giacomo Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters, February 2025
[openreview] [pdf] [bib] -
Latent Space Energy-based Neural ODEs
Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang, February 2025
[openreview] [pdf] [bib] -
Using representation balancing to learn conditional-average dose responses from clustered data
Christopher Bockel-Rickermann, Toon Vanderschueren, Jeroen Berrevoets, Tim Verdonck, Wouter Verbeke, February 2025
[openreview] [pdf] [bib] [code] -
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning
Sucheng Ren, Hongru Zhu, Chen Wei, Yijiang Li, Alan Yuille, Cihang Xie, February 2025
[openreview] [pdf] [bib] -
The 2023 Foundation Model Transparency Index
Rishi Bommasani, Kevin Klyman, Shayne Longpre, Sayash Kapoor, Nestor Maslej, Betty Xiong, Daniel Zhang, Percy Liang, February 2025
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling
Fang Wu, Stan Z. Li, February 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Loss-to-Loss Prediction: Scaling Laws for All Datasets
David Brandfonbrener, Nikhil Anand, Nikhil Vyas, Eran Malach, Sham M. Kakade, February 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C -
ALTA: Compiler-Based Analysis of Transformers
Peter Shaw, James Cohan, Jacob Eisenstein, Kenton Lee, Jonathan Berant, Kristina Toutanova, February 2025
[openreview] [pdf] [bib] [code] -
Density of states in neural networks: an in-depth exploration of learning in parameter space
Margherita Mele, Roberto Menichetti, Alessandro Ingrosso, Raffaello Potestio, February 2025
[openreview] [pdf] [bib] [code] -
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning
Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu, February 2025
[openreview] [pdf] [bib] -
A Strong Baseline for Molecular Few-Shot Learning
Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed, February 2025
[openreview] [pdf] [bib] [code] -
PROXI: Challenging the GNNs for Link Prediction
Astrit Tola, Jack Myrick, Baris Coskunuzer, February 2025
[openreview] [pdf] [bib] [code] -
On Space Folds of ReLU Neural Networks
Michal Lewandowski, Hamid Eghbalzadeh, Bernhard Heinzl, Raphael Pisoni, Bernhard A. Moser, February 2025
[openreview] [pdf] [bib] -
Improving Consistency in Large Language Models through Chain of Guidance
Harsh Raj, Vipul Gupta, Domenic Rosati, Subhabrata Majumdar, February 2025
[openreview] [pdf] [bib] [code] -
Evaluation of Best-of-N Sampling Strategies for Language Model Alignment
Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Eiji Uchibe, February 2025
[openreview] [pdf] [bib] [code] [video] -
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo, Hong-Xing Yu, Jiajun Wu, February 2025
[openreview] [pdf] [bib] -
Understanding LLM Embeddings for Regression
Eric Tang, Bangding Yang, Xingyou Song, February 2025
[openreview] [pdf] [bib] [code] -
APR-CNN: Convolutional Neural Networks for the Adaptive Particle Representation of Large Microscopy Images
Joel Jonsson, Bevan Leslie Cheeseman, Ivo F. Sbalzarini, February 2025
[openreview] [pdf] [bib] [code] -
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates
Stefano Bruno, Ying Zhang, Dongyoung Lim, Omer Deniz Akyildiz, Sotirios Sabanis, February 2025
[openreview] [pdf] [bib] -
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
Sara Venturini, Marianna De Santis, Jordan Patracone, Martin Schmidt, Francesco Rinaldi, Saverio Salzo, February 2025
[openreview] [pdf] [bib] [code] -
Necessary and Sufficient Watermark for Large Language Models
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada, February 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Irina Rish, Pierre-Luc Bacon, Razvan Pascanu, Aristide Baratin, February 2025
[openreview] [pdf] [bib] [code] -
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach
Mahrokh Ghoddousi Boroujeni, Andreas Krause, Giancarlo Ferrari-Trecate, February 2025
[openreview] [pdf] [bib] [code] -
Wasserstein Coreset via Sinkhorn Loss
Haoyun Yin, Yixuan Qiu, Xiao Wang, February 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang, Changyu Liu, Yingzhen Yang, February 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernardez, Olga Zaghen, Simone Scardapane, Pietro Lio, February 2025
[openreview] [pdf] [bib] -
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
Hikaru Umeda, Hideaki Iiduka, February 2025
[openreview] [pdf] [bib] -
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition
Viraj Shah, Svetlana Lazebnik, Julien Philip, February 2025
[openreview] [pdf] [bib] -
Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study
Cullen Anderson, Jeff M. Phillips, February 2025
[openreview] [pdf] [bib] [code] [video] -
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Lorenzo Loconte, Antonio Mari, Gennaro Gala, Robert Peharz, Cassio de Campos, Erik Quaeghebeur, Gennaro Vessio, Antonio Vergari, February 2025
[openreview] [pdf] [bib] [code]
Certifications: Featured J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates, February 2025
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer -
Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors
Angus Nicolson, Lisa Schut, Alison Noble, Yarin Gal, February 2025
[openreview] [pdf] [bib] [code] [video] -
What Makes ImageNet Look Unlike LAION
Ali Shirali, Moritz Hardt, February 2025
[openreview] [pdf] [bib] [code] [video] -
Continual Learning from Simulated Interactions via Multitask Prospective Rehearsal for Bionic Limb Behavior Modeling
Sharmita Dey, Benjamin Paassen, Sarath Ravindran Nair, Sabri Boughorbel, Arndt F. Schilling, February 2025
[openreview] [pdf] [bib] -
Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices
Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger, February 2025
[openreview] [pdf] [bib] [code] -
CNN Interpretability with Multivector Tucker Saliency Maps for Self-Supervised Models
Aymene Mohammed Bouayed, Samuel Deslauriers-gauthier, Adrian IACOVELLI, David Naccache, February 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Class Incremental Learning from First Principles: A Review
Neil Ashtekar, Jingxi Zhu, Vasant G Honavar, February 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
Giovanni Luca Marchetti, Gabriele Cesa, Kumar Pratik, Arash Behboodi, February 2025
[openreview] [pdf] [bib] -
Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions
Anna Hedström, Philine Lou Bommer, Thomas F Burns, Sebastian Lapuschkin, Wojciech Samek, Marina MC Höhne, February 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
The RealHumanEval: Evaluating Large Language Models’ Abilities to Support Programmers
Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David Sontag, February 2025
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Enhancing Remaining Useful Life Prediction with Ensemble Multi-Term Fourier Graph Neural Networks
Ya Song, Laurens Bliek, Yaoxin Wu, Yingqian Zhang, February 2025
[openreview] [pdf] [bib] -
Data Augmentation Policy Search for Long-Term Forecasting
Liran Nochumsohn, Omri Azencot, February 2025
[openreview] [pdf] [bib] [code] -
Adaptive Multi-step Refinement Network for Robust Point Cloud Registration
Zhi Chen, Yufan Ren, Tong Zhang, Zheng Dang, Wenbing Tao, Sabine Susstrunk, Mathieu Salzmann, February 2025
[openreview] [pdf] [bib] [code] [video] -
LLaVA-OneVision: Easy Visual Task Transfer
Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Peiyuan Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li, February 2025
[openreview] [pdf] [bib]
Certifications: J2C -
On the Regularization of Learnable Embeddings for Time Series Forecasting
Luca Butera, Giovanni De Felice, Andrea Cini, Cesare Alippi, February 2025
[openreview] [pdf] [bib] [code] -
Towards context and domain-aware algorithms for scene analysis
Ibrahim Serouis, Florence Sèdes, February 2025
[openreview] [pdf] [bib] [code] -
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Pengyun Wang, Yadi Cao, Chris Russell, Yanxin Shen, Junyu Luo, Ming Zhang, Siyu Heng, Xiao Luo, February 2025
[openreview] [pdf] [bib] [code] -
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
Haonan Wang, Qian Liu, Chao Du, Tongyao Zhu, Cunxiao Du, Kenji Kawaguchi, Tianyu Pang, February 2025
[openreview] [pdf] [bib] [code] -
Score-Based Denoising Diffusion Models for Photon-Starved Image Restoration Problems
Savvas Melidonis, Yiming Xi, Konstantinos C. Zygalakis, Yoann Altmann, Marcelo Pereyra, February 2025
[openreview] [pdf] [bib] [code] -
Instance-Aware Graph Prompt Learning
Jiazheng Li, Jundong Li, Chuxu Zhang, February 2025
[openreview] [pdf] [bib] [code] -
Partially Frozen Random Networks Contain Compact Strong Lottery Tickets
Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura, February 2025
[openreview] [pdf] [bib] [code] -
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
Minguk Jang, Hye Won Chung, February 2025
[openreview] [pdf] [bib] -
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing
Arash Behboodi, Gabriele Cesa, February 2025
[openreview] [pdf] [bib] -
Selective Prediction via Training Dynamics
Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Israfil Bahceci, Akram Bin Sediq, HAMZA SOKUN, Nicolas Papernot, February 2025
[openreview] [pdf] [bib] [code] -
How Does Code Pretraining Affect Language Model Task Performance?
Jackson Petty, Sjoerd van Steenkiste, Tal Linzen, February 2025
[openreview] [pdf] [bib] -
DeepRRTime: Robust Time-series Forecasting with a Regularized INR Basis
Chandramouli Shama Sastry, Mahdi Gilany, Kry Yik-Chau Lui, Martin Magill, Alexander Pashevich, February 2025
[openreview] [pdf] [bib] [code] -
Iterated $Q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning
Théo Vincent, Daniel Palenicek, Boris Belousov, Jan Peters, Carlo D'Eramo, February 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Towards Measuring Predictability: To which extent data-driven approaches can extract deterministic relations from data exemplified with time series prediction and classification
Saleh GHOLAM ZADEH, Vaisakh Shaj, Patrick Jahnke, Gerhard Neumann, Tim Breitenbach, February 2025
[openreview] [pdf] [bib] [code] -
Minimax Lower Bounds for Estimating Distributions on Low-dimensional Spaces
Saptarshi Chakraborty, February 2025
[openreview] [pdf] [bib] -
Test-Time Adaptation with Source Based Auxiliary Tasks
Motasem Alfarra, Alvaro Correia, Bernard Ghanem, Christos Louizos, February 2025
[openreview] [pdf] [bib] -
On the stability of gradient descent with second order dynamics for time-varying cost functions
Travis E Gibson, Sawal Acharya, Anjali Parashar, Joseph Emilio Gaudio, Anuradha Annaswamy, February 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
REX: GPU-Accelerated Sim2Real Framework with Delay and Dynamics Estimation
Bas van der Heijden, Jens Kober, Robert Babuska, Laura Ferranti, February 2025
[openreview] [pdf] [bib] [code] [video] -
Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMs
Zidan Wang, Rui Shen, Bradly C. Stadie, February 2025
[openreview] [pdf] [bib] [code] -
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani, February 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: gspworkshop.org/GSP/2025/Journal_Track -
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Michele Caprio, David Stutz, Shuo Li, Arnaud Doucet, February 2025
[openreview] [pdf] [bib] -
Bridging Causality, Individual Fairness, and Adversarial Robustness in the Absence of Structural Causal Model
Ahmad Reza Ehyaei, Golnoosh Farnadi, Samira Samadi, February 2025
[openreview] [pdf] [bib] [code] -
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity
Konstantin Mishchenko, Rustem Islamov, Eduard Gorbunov, Samuel Horváth, February 2025
[openreview] [pdf] [bib] [code] -
Identifying Axiomatic Mathematical Transformation Steps using Tree-Structured Pointer Networks
Sebastian Wankerl, Jan Pfister, Andrzej Dulny, Gerhard Götz, Andreas Hotho, February 2025
[openreview] [pdf] [bib] [code] -
Mixture Degree-Corrected Stochastic Block Model for Multi-Group Community Detection in Multiplex Graphs
Noureddine Henka, Mohamad Assaad, Sami Tazi, February 2025
[openreview] [pdf] [bib] -
Interpreting Neurons in Deep Vision Networks with Language Models
Nicholas Bai, Rahul Ajay Iyer, Tuomas Oikarinen, Akshay R. Kulkarni, Tsui-Wei Weng, February 2025
[openreview] [pdf] [bib] -
Cooperative Minibatching in Graph Neural Networks
Muhammed Fatih Balin, Dominique LaSalle, Umit Catalyurek, February 2025
[openreview] [pdf] [bib] [code] -
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli, Fabio Massimo Zanzotto, Sébastien Bratières, Emanuele Rodolà, February 2025
[openreview] [pdf] [bib] -
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Florian Kalinke, Marco Heyden, Georg Gntuni, Edouard Fouché, Klemens Böhm, February 2025
[openreview] [pdf] [bib] [code] -
Shapley Values of Structured Additive Regression Models and Application to RKHS Weightings of Functions
Gabriel Dubé, Mario Marchand, January 2025
[openreview] [pdf] [bib] [code] [video] -
On the effects of similarity metrics in decentralized deep learning under distribution shift
Edvin Listo Zec, Tom Hagander, Eric Ihre-Thomason, Sarunas Girdzijauskas, January 2025
[openreview] [pdf] [bib] -
Interactive Task Planning with Language Models
Boyi Li, Philipp Wu, Pieter Abbeel, Jitendra Malik, January 2025
[openreview] [pdf] [bib] [code] [video] -
\copyright Plug-in Authorization for Human Copyright Protection in Text-to-Image Model
Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu, January 2025
[openreview] [pdf] [bib] [code] -
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Xinyu Tang, Ashwinee Panda, Milad Nasr, Saeed Mahloujifar, Prateek Mittal, January 2025
[openreview] [pdf] [bib] -
ADAPT to Robustify Prompt Tuning Vision Transformers
Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer Dy, January 2025
[openreview] [pdf] [bib] [code] -
Explanation Shift: How Did the Distribution Shift Impact the Model?
Carlos Mougan, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab, January 2025
[openreview] [pdf] [bib] -
Enhancing Parameter Efficiency and Generalization in Large Models: A Regularized and Masked Low-Rank Adaptation Approach
Yuzhu Mao, Zihao Zhao, Siqi Ping, Yang Liu, Wenbo Ding, January 2025
[openreview] [pdf] [bib] [code] -
SPFormer: Enhancing Vision Transformer with Superpixel Representation
Jieru Mei, Liang-Chieh Chen, Alan Yuille, Cihang Xie, January 2025
[openreview] [pdf] [bib] -
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor, January 2025
[openreview] [pdf] [bib] -
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
Anastasis Kratsios, Haitz Sáez de Ocáriz Borde, Takashi Furuya, Marc T. Law, January 2025
[openreview] [pdf] [bib] -
Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability
Hongyi Ling, Zhimeng Jiang, Na Zou, Shuiwang Ji, January 2025
[openreview] [pdf] [bib] -
In-distribution adversarial attacks on object recognition models using gradient-free search.
Spandan Madan, Tomotake Sasaki, Hanspeter Pfister, Tzu-Mao Li, Xavier Boix, January 2025
[openreview] [pdf] [bib] [code] -
Distributed Quasi-Newton Method for Fair and Fast Federated Learning
Shayan Mohajer Hamidi, Linfeng Ye, January 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Multivariate Dense Retrieval: A Reproducibility Study under a Memory-limited Setup
Georgios Sidiropoulos, Samarth Bhargav, Panagiotis Eustratiadis, Evangelos Kanoulas, January 2025
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility Event: reproml.org/MLRC/2025/Journal_Track -
Making Reliable and Flexible Decisions in Long-tailed Classification
Bolian Li, Ruqi Zhang, January 2025
[openreview] [pdf] [bib] [code] -
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
Michal Derezinski, January 2025
[openreview] [pdf] [bib] [code] -
Adjacency Search Embeddings
Meher Chaitanya, Kshitijaa Jaglan, Ulrik Brandes, January 2025
[openreview] [pdf] [bib] -
ExCeL: Combined Extreme and Collective Logit Information for Out-of-Distribution Detection
Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla, January 2025
[openreview] [pdf] [bib] [code] -
Time Series Domain Adaptation via Channel-Selective Representation Alignment
Nauman Ahad, Mark A. Davenport, Eva L Dyer, January 2025
[openreview] [pdf] [bib] [code] -
Can AI-Generated Text be Reliably Detected? Stress Testing AI Text Detectors Under Various Attacks
Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, Wenxiao Wang, Soheil Feizi, January 2025
[openreview] [pdf] [bib] [code] -
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen, January 2025
[openreview] [pdf] [bib] [code] -
Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust
zhuo zhi, Yuxuan Sun, Qiangqiang Wu, Ziquan Liu, Miguel R. D. Rodrigues, January 2025
[openreview] [pdf] [bib] -
A thorough reproduction and evaluation of $\mu$P
Georgios Vlassis, David Belius, Volodymyr Fomichov, January 2025
[openreview] [pdf] [bib] [code] -
Semantic Alignment for Prompt-Tuning in Vision Language Models
Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, January 2025
[openreview] [pdf] [bib] -
Identifying Spurious Correlations using Counterfactual Alignment
Joseph Paul Cohen, Louis Blankemeier, Akshay S Chaudhari, January 2025
[openreview] [pdf] [bib] [code] [video] -
Numerically Robust Fixed-Point Smoothing Without State Augmentation
Nicholas Krämer, January 2025
[openreview] [pdf] [bib] [code] -
Explicitly Disentangled Representations in Object-Centric Learning
Riccardo Majellaro, Jonathan Collu, Aske Plaat, Thomas M. Moerland, January 2025
[openreview] [pdf] [bib] [code] -
Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance
Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang, January 2025
[openreview] [pdf] [bib] [code] -
Unified Risk Analysis for Weakly Supervised Learning
Chao-Kai Chiang, Masashi Sugiyama, January 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi, January 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Preventing Conflicting Gradients in Neural Marked Temporal Point Processes
Tanguy Bosser, Souhaib Ben Taieb, January 2025
[openreview] [pdf] [bib] [code] -
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
Zhuoran Yu, Chenchen Zhu, Sean Culatana, Raghuraman Krishnamoorthi, Fanyi Xiao, Yong Jae Lee, January 2025
[openreview] [pdf] [bib]
Certifications: Featured J2C -
Towards LifeSpan Cognitive Systems
Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian McAuley, January 2025
[openreview] [pdf] [bib] -
Distributed Multi-Agent Lifelong Learning
Prithviraj Tarale, Edward Rietman, Hava T Siegelmann, January 2025
[openreview] [pdf] [bib] [code] -
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models
Zhiyu Guo, Hidetaka Kamigaito, Taro Watanabe, January 2025
[openreview] [pdf] [bib] [code] -
SelfEval: Leveraging discriminative nature of generative models for evaluation
Sai Saketh Rambhatla, Ishan Misra, January 2025
[openreview] [pdf] [bib] -
Fairness Through Matching
Kunwoong Kim, Insung Kong, Jongjin Lee, Minwoo Chae, Sangchul Park, Yongdai Kim, January 2025
[openreview] [pdf] [bib] [code] -
Zero-shot CLIP Class Forgetting via Text-image Space Adaptation
Alexey Kravets, Vinay P. Namboodiri, January 2025
[openreview] [pdf] [bib] [code] [video] -
A Scalable Approach for Mapper via Efficient Spatial Search
Luca Simi, January 2025
[openreview] [pdf] [bib] [code] -
Doubly Robust Conditional VAE via Decoder Calibration: An Implicit KL Annealing Approach
Chuanhui Liu, Xiao Wang, January 2025
[openreview] [pdf] [bib] [code] -
Improving CLIP Counting Accuracy via Parameter-Efficient Fine-Tuning
Ruisu Zhang, Yicong Chen, Kangwook Lee, January 2025
[openreview] [pdf] [bib] -
Transfer Learning in $\ell_1$ Regularized Regression: Hyperparameter Selection Strategy based on Sharp Asymptotic Analysis
Koki Okajima, Tomoyuki Obuchi, January 2025
[openreview] [pdf] [bib] -
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration
Luciana Ferrer, Daniel Ramos, January 2025
[openreview] [pdf] [bib] [code] -
On the Properties and Estimation of Pointwise Mutual Information Profiles
Paweł Czyż, Frederic Grabowski, Julia E Vogt, Niko Beerenwinkel, Alexander Marx, January 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
An analysis of the noise schedule for score-based generative models
Stanislas Strasman, Antonio Ocello, Claire Boyer, Sylvain Le Corff, Vincent Lemaire, January 2025
[openreview] [pdf] [bib] -
Global Safe Sequential Learning via Efficient Knowledge Transfer
Cen-You Li, Olaf Dünnbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer, January 2025
[openreview] [pdf] [bib] [code] -
Can Optimization Trajectories Explain Multi-Task Transfer?
David Mueller, Mark Dredze, Nicholas Andrews, January 2025
[openreview] [pdf] [bib] [code] -
A comparison between humans and AI at recognizing objects in unusual poses
Netta Ollikka, Amro Kamal Mohamed Abbas, Andrea Perin, Markku Kilpeläinen, Stephane Deny, January 2025
[openreview] [pdf] [bib] -
νSAM: Memory-Efficient Sharpness-Aware Minimization via Nuclear Norm Constraints
Thomas Pethick, Parameswaran Raman, Lenon Minorics, Mingyi Hong, Shoham Sabach, Volkan Cevher, January 2025
[openreview] [pdf] [bib] -
Event-Triggered Time-Varying Bayesian Optimization
Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe, January 2025
[openreview] [pdf] [bib] [code] -
Optimization Dynamics of Equivariant and Augmented Neural Networks
Oskar Nordenfors, Fredrik Ohlsson, Axel Flinth, January 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation
Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li, January 2025
[openreview] [pdf] [bib] [code] -
An Attribute-based Method for Video Anomaly Detection
Tal Reiss, Yedid Hoshen, January 2025
[openreview] [pdf] [bib] [code] -
A general framework of Riemannian adaptive optimization methods with a convergence analysis
Hiroyuki Sakai, Hideaki Iiduka, January 2025
[openreview] [pdf] [bib]
Certifications: Reproducibility -
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling
Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian, January 2025
[openreview] [pdf] [bib] [code] -
A Generalization Bound for Nearly-Linear Networks
Eugene Golikov, January 2025
[openreview] [pdf] [bib] -
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
SUBBA REDDY OOTA, Zijiao Chen, Manish Gupta, Bapi Raju Surampudi, Gael Jobard, Frederic Alexandre, Xavier Hinaut, January 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges
Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart, January 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior
Lorenzo Perini, Maja Rudolph, Sabrina Schmedding, Chen Qiu, January 2025
[openreview] [pdf] [bib] [code] -
MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks
Alejandro Guerra-Manzanares, Farah Shamout, January 2025
[openreview] [pdf] [bib] [code] -
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
Leah Bar, Boaz Lerner, Nir Darshan, Rami Ben-Ari, January 2025
[openreview] [pdf] [bib] [code] [video]
Certifications: J2C -
Lifelong Learning in StyleGAN through Latent Subspaces
Adarsh Kappiyath, ANMOL GARG, Ramya Hebbalaguppe, Prathosh AP, January 2025
[openreview] [pdf] [bib] [code] -
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs
Nicolas Boizard, Kevin El Haddad, CELINE HUDELOT, Pierre Colombo, January 2025
[openreview] [pdf] [bib] -
Decoupled Sequence and Structure Generation for Realistic Antibody Design
Nayoung Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park, January 2025
[openreview] [pdf] [bib] [code] -
Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes
Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot, January 2025
[openreview] [pdf] [bib] -
A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, XIAOYU XU, Xiaobao Wu, Jie Fu, Feng Yichao, Fengjun Pan, Anh Tuan Luu, January 2025
[openreview] [pdf] [bib]
Certifications: Survey -
Directed Graph Generation with Heat Kernels
Marc T. Law, Karsten Kreis, Haggai Maron, January 2025
[openreview] [pdf] [bib] -
Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations
Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön, January 2025
[openreview] [pdf] [bib] -
Federated Learning with Efficient Local Adaptation for Realized Volatility Prediction
Lei Zhao, Lin Cai, Wu-Sheng Lu, January 2025
[openreview] [pdf] [bib] -
Reweighting Improves Conditional Risk Bounds
Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka, January 2025
[openreview] [pdf] [bib] [code] -
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach
Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani, January 2025
[openreview] [pdf] [bib] [code] -
From Promise to Practice: A Study of Common Pitfalls Behind the Generalization Gap in Machine Learning
Saeideh Ghanbari Azar, Lorenzo Tronchin, Attila Simkó, Tufve Nyholm, Tommy Löfstedt, January 2025
[openreview] [pdf] [bib] -
Highway Graph to Accelerate Reinforcement Learning
Zidu Yin, Zhen Zhang, Dong Gong, Stefano V Albrecht, Javen Qinfeng Shi, January 2025
[openreview] [pdf] [bib] [code] -
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Eduardo Fernandes Montesuma, Fred Maurice NGOLE MBOULA, Antoine Souloumiac, January 2025
[openreview] [pdf] [bib] [code] -
Optimization and Generalization Guarantees for Weight Normalization
Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam Banerjee, January 2025
[openreview] [pdf] [bib] -
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative model for Quasar spectra
Vidhi Lalchand, Anna-Christina Eilers, January 2025
[openreview] [pdf] [bib] [code] -
BM$^2$: Coupled Schrödinger Bridge Matching
Stefano Peluchetti, January 2025
[openreview] [pdf] [bib]
Certifications: J2C -
Partial-Label Learning with a Reject Option
Tobias Fuchs, Florian Kalinke, Klemens Böhm, January 2025
[openreview] [pdf] [bib] [code] -
PRIMO: Private Regression in Multiple Outcomes
Seth Neel, January 2025
[openreview] [pdf] [bib] -
ODNet: Opinion Dynamics-Inspired Neural Message Passing for Graphs and Hypergraphs
Bingxin Zhou, Outongyi Lv, Jing Wang, Xiang Xiao, Weishu Zhao, January 2025
[openreview] [pdf] [bib]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar, January 2025
[openreview] [pdf] [bib] -
Minimax Posterior Contraction Rates for Unconstrained Distribution Estimation on $[0,1]^d$ under Wasserstein Distance
Peter Matthew Jacobs, Lekha Patel, Anirban Bhattacharya, Debdeep Pati, January 2025
[openreview] [pdf] [bib] -
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
Yifei He, Yuzheng Hu, Yong Lin, Tong Zhang, Han Zhao, January 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Attention Mechanisms Don’t Learn Additive Models: Rethinking Feature Importance for Transformers
Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci, January 2025
[openreview] [pdf] [bib] [code] -
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
Marco Paul E. Apolinario, Kaushik Roy, January 2025
[openreview] [pdf] [bib] [code] -
On Inherent Adversarial Robustness of Active Vision Systems
Amitangshu Mukherjee, Timur Ibrayev, Kaushik Roy, January 2025
[openreview] [pdf] [bib] [code] [video] -
Slicing Unbalanced Optimal Transport
Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian FATRAS, Nicolas Courty, January 2025
[openreview] [pdf] [bib] [code] -
DafnyBench: A Benchmark for Formal Software Verification
Chloe R Loughridge, Qinyi Sun, Seth Ahrenbach, Federico Cassano, Chuyue Sun, Ying Sheng, Anish Mudide, Md Rakib Hossain Misu, Nada Amin, Max Tegmark, January 2025
[openreview] [pdf] [bib] [code] -
Sparse Neural Architectures via Deterministic Ramanujan Graphs
Suryam Arnav Kalra, Arindam Biswas, Pabitra Mitra, BISWAJIT BASU, January 2025
[openreview] [pdf] [bib] [video] -
Masked Capsule Autoencoders
Miles Everett, Mingjun Zhong, Georgios Leontidis, January 2025
[openreview] [pdf] [bib] -
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning
Manu Gaur, Darshan Singh S, Makarand Tapaswi, January 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P Dickerson, Pin-Yu Chen, Jeff Bilmes, January 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Improving GFlowNets for Text-to-Image Diffusion Alignment
Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang ZHANG, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai, January 2025
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun, January 2025
[openreview] [pdf] [bib] [code]
Certifications: Survey -
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures
Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael Ng, Zhenguo Li, Zhaoqiang Liu, January 2025
[openreview] [pdf] [bib] [code] -
Linear Convergence of Decentralized FedAvg for PL Objectives: The Interpolation Regime
Shruti P Maralappanavar, Prashant Khanduri, Bharath B N, January 2025
[openreview] [pdf] [bib] -
Maximally Expressive GNNs for Outerplanar Graphs
Franka Bause, Fabian Jogl, Patrick Indri, Tamara Drucks, David Penz, Nils Morten Kriege, Thomas Gärtner, Pascal Welke, Maximilian Thiessen, January 2025
[openreview] [pdf] [bib] [code] [video] -
Investigating the impact of missing value handling on Boosted trees and Deep learning for Tabular data: A Claim Reserving case study
Alexander Larionov, Niall M. Adams, Kevin N. Webster, January 2025
[openreview] [pdf] [bib] -
Personalized Privacy Amplification via Importance Sampling
Dominik Fay, Sebastian Mair, Jens Sjölund, January 2025
[openreview] [pdf] [bib] [code] -
A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data and Overparameterization?
Tim Z. Xiao, Johannes Zenn, Robert Bamler, January 2025
[openreview] [pdf] [bib] -
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Peihong Yu, Manav Mishra, Alec Koppel, Carl Busart, Priya Narayan, Dinesh Manocha, Amrit Singh Bedi, Pratap Tokekar, January 2025
[openreview] [pdf] [bib] -
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts
Yuan Zang, Tian Yun, Hao Tan, Trung Bui, Chen Sun, January 2025
[openreview] [pdf] [bib] [code] -
On the Detection of Reviewer-Author Collusion Rings From Paper Bidding
Steven Jecmen, Nihar B Shah, Fei Fang, Leman Akoglu, January 2025
[openreview] [pdf] [bib] [code] -
Transformers in Uniform TC$^0$
David Chiang, January 2025
[openreview] [pdf] [bib] -
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences
Weijian Luo, January 2025
[openreview] [pdf] [bib] [code] -
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Madison Cooley, Varun Shankar, Mike Kirby, Shandian Zhe, January 2025
[openreview] [pdf] [bib] [code] -
An Analysis of Model Robustness across Concurrent Distribution Shifts
Myeongho Jeon, Suhwan Choi, Hyoje Lee, Teresa Yeo, January 2025
[openreview] [pdf] [bib] [code] -
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts
Debarshi Brahma, Anuska Roy, Soma Biswas, January 2025
[openreview] [pdf] [bib] [code] -
Mental Modelling of Reinforcement Learning Agents by Language Models
Wenhao Lu, Xufeng Zhao, Josua Spisak, Jae Hee Lee, Stefan Wermter, January 2025
[openreview] [pdf] [bib] [code]
Certifications: Event: rl-conference.cc/RLC/2025/Journal_Track -
Reward-based Autonomous Online Learning Framework for Resilient Cooperative Target Monitoring using a Swarm of Robots
Shubhankar Gupta, Saksham Sharma, Suresh Sundaram, January 2025
[openreview] [pdf] [bib] [code] [video] -
Ask Your Distribution Shift if Pre-Training is Right for You
Benjamin Cohen-Wang, Joshua Vendrow, Aleksander Madry, January 2025
[openreview] [pdf] [bib] -
Function Basis Encoding of Numerical Features in Factorization Machines
Alex Shtoff, Elie Abboud, Rotem Stram, Oren Somekh, December 2024
[openreview] [pdf] [bib] [code] -
CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark
Zachary S Siegel, Sayash Kapoor, Nitya Nadgir, Benedikt Stroebl, Arvind Narayanan, December 2024
[openreview] [pdf] [bib] [code] [video] -
Graph Pooling via Ricci Flow
Amy Feng, Melanie Weber, December 2024
[openreview] [pdf] [bib] -
$\clubsuit$ CLOVER $\clubsuit$: Probabilistic Forecasting with Coherent Learning Objective Reparameterization
Kin G. Olivares, Geoffrey Négiar, Ruijun Ma, Oinam Nganba Meetei, Mengfei Cao, Michael W. Mahoney, December 2024
[openreview] [pdf] [bib] [code] [video] -
A persistent homology-based algorithm for unsupervised anomaly detection in time series
Alexandre Bois, Brian Tervil, Laurent Oudre, December 2024
[openreview] [pdf] [bib] [code] -
Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web
Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur, December 2024
[openreview] [pdf] [bib] [code] -
AutoDocSegmenter: A Geometric Approach towards Self-Supervised Document Segmentation
Ankita Chatterjee, Anjali Raj, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Partha Pratim Das, December 2024
[openreview] [pdf] [bib] [code] -
Do Parameters Reveal More than Loss for Membership Inference?
Anshuman Suri, Xiao Zhang, David Evans, December 2024
[openreview] [pdf] [bib] [code] -
Privacy Preserving Reinforcement Learning for Population Processes
Samuel Yang-Zhao, Kee Siong Ng, December 2024
[openreview] [pdf] [bib] -
FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation
Xuehai He, Jian Zheng, Jacob Zhiyuan Fang, Robinson Piramuthu, Mohit Bansal, Vicente Ordonez, Gunnar A Sigurdsson, Nanyun Peng, Xin Eric Wang, December 2024
[openreview] [pdf] [bib] [video] -
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money
Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh, December 2024
[openreview] [pdf] [bib]
Certifications: Featured J2C Event: iclr.cc/ICLR/2025/Journal_Track -
Gradient-guided discrete walk-jump sampling for biological sequence generation
Zarif Ikram, Dianbo Liu, M Saifur Rahman, December 2024
[openreview] [pdf] [bib] [code] -
Beyond Labeling Oracles - What does it mean to steal ML models?
Avital Shafran, Ilia Shumailov, Murat A Erdogdu, Nicolas Papernot, December 2024
[openreview] [pdf] [bib] -
Statistical Mechanics of Min-Max Problems
Yuma Ichikawa, Koji Hukushima, December 2024
[openreview] [pdf] [bib] -
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
Yi-Lun Liao, Tess Smidt, Muhammed Shuaibi, Abhishek Das, December 2024
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
Yue Zhang, Ziqiao Ma, Jialu Li, Yanyuan Qiao, Zun Wang, Joyce Chai, Qi Wu, Mohit Bansal, Parisa Kordjamshidi, December 2024
[openreview] [pdf] [bib]
Certifications: Survey -
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera J Talukder, Yisong Yue, Georgia Gkioxari, December 2024
[openreview] [pdf] [bib] [code] [video] -
Transformer Architecture Search for Improving Out-of-Domain Generalization in Machine Translation
Yiheng He, Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie, December 2024
[openreview] [pdf] [bib] [code] -
Blending Two Styles: Generating Inter-domain Images with MiddleGAN
Collin MacDonald, Zhendong Chu, John Stankovic, Huajie Shao, Gang Zhou, Ashley Gao, December 2024
[openreview] [pdf] [bib] -
OmniPred: Language Models as Universal Regressors
Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen, December 2024
[openreview] [pdf] [bib] [code] [video] -
BBCaL: Black-box Backdoor Detection under the Causality Lens
Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li, December 2024
[openreview] [pdf] [bib]
Certifications: Featured Event: iclr.cc/ICLR/2025/Journal_Track -
Population Priors for Matrix Factorization
Sohrab Salehi, Achille Nazaret, Sohrab P Shah, David Blei, December 2024
[openreview] [pdf] [bib] [code] -
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection
Yushu Li, Yongyi Su, Xulei Yang, Kui Jia, Xun Xu, December 2024
[openreview] [pdf] [bib] [code] -
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
See Hian Lee, Feng Ji, Wee Peng Tay, December 2024
[openreview] [pdf] [bib] -
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Olukorede Fakorede, Modeste Atsague, Jin Tian, December 2024
[openreview] [pdf] [bib] -
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics
Haoqin Tu, Bingchen Zhao, Chen Wei, Cihang Xie, December 2024
[openreview] [pdf] [bib] [code] -
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation
Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal, December 2024
[openreview] [pdf] [bib] [code] [video] -
Evaluating Graph Generative Models with Graph Kernels: What Structural Characteristics Are Captured?
Martijn Gösgens, Alexey Tikhonov, Liudmila Prokhorenkova, December 2024
[openreview] [pdf] [bib] [code] -
Lookahead Counterfactual Fairness
Zhiqun Zuo, Tian Xie, Xuwei Tan, Xueru Zhang, Mohammad Mahdi Khalili, December 2024
[openreview] [pdf] [bib] [code] -
Teacher-Guided Graph Contrastive Learning
Jay Nandy, Arnab Kumar Mondal, Manohar Kaul, Prathosh AP, December 2024
[openreview] [pdf] [bib] [code] [video] -
A Dual-Perspective Approach to Evaluating Feature Attribution Methods
Yawei Li, Yang Zhang, Kenji Kawaguchi, Ashkan Khakzar, Bernd Bischl, Mina Rezaei, December 2024
[openreview] [pdf] [bib] -
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning
M Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Simmhan, Anirban Chakraborty, December 2024
[openreview] [pdf] [bib] [code] [video] -
Robust Guided Diffusion for Offline Black-Box Optimization
Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal, December 2024
[openreview] [pdf] [bib] [code] -
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Lingjiao Chen, Matei Zaharia, James Zou, December 2024
[openreview] [pdf] [bib]
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Improving Robust Generalization with Diverging Spanned Latent Space
Owen Dou, Zhiqiang Gao, Hangchi Shen, Ziling Yuan, Shufei Zhang, Kaizhu Huang, December 2024
[openreview] [pdf] [bib] -
On the theoretical limit of gradient descent for Simple Recurrent Neural Networks with finite precision
Volodimir Mitarchuk, Rémi Emonet, Remi Eyraud, Amaury Habrard, December 2024
[openreview] [pdf] [bib] [code] [video] -
Compositional Instruction Following with Language Models and Reinforcement Learning
Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Matthew Gombolay, Ray Mooney, Benjamin Rosman, December 2024
[openreview] [pdf] [bib]
Certifications: Event: rl-conference.cc/RLC/2025/Journal_Track -
Scaling Laws for Imitation Learning in Single-Agent Games
Jens Tuyls, Dhruv Madeka, Kari Torkkola, Dean Foster, Karthik R Narasimhan, Sham M. Kakade, December 2024
[openreview] [pdf] [bib] [code] -
Extended Deep Submodular Functions
Seyed Mohammad Hosseini, Arash Jamshidi, Seyed Mahdi Noormousavi, Mahdi Jafari Siavoshani, Naeimeh Omidvar, December 2024
[openreview] [pdf] [bib] [code] -
On the Interdependence between Data Selection and Architecture Optimization in Deep Active Learning
Pradeep Bajracharya, Rui Li, Linwei Wang, December 2024
[openreview] [pdf] [bib] [code] -
Spectral Self-supervised Feature Selection
Daniel Segal, Ofir Lindenbaum, Ariel Jaffe, December 2024
[openreview] [pdf] [bib] [code] -
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
João Bravo, Jacopo Bono, Hugo Ferreira, Pedro Saleiro, Pedro Bizarro, December 2024
[openreview] [pdf] [bib] [code] [video] -
Inductive Global and Local Manifold Approximation and Projection
Jungeum Kim, Xiao Wang, December 2024
[openreview] [pdf] [bib] [code] -
LEA: Learning Latent Embedding Alignment Model for fMRI Decoding and Encoding
Xuelin Qian, Yikai Wang, Xinwei Sun, Yanwei Fu, Xiangyang Xue, Jianfeng Feng, December 2024
[openreview] [pdf] [bib] [code] -
TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning
Shangding Gu, Alois Knoll, Ming Jin, December 2024
[openreview] [pdf] [bib] [code] -
Comparing Deterministic and Soft Policy Gradients for Optimizing Gaussian Mixture Actors
Sheelabhadra Dey, Guni Sharon, December 2024
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation
Ali Arabzadeh, James A. Grant, David S. Leslie, December 2024
[openreview] [pdf] [bib] -
Non-Stationary Dueling Bandits Under a Weighted Borda Criterion
Joe Suk, Arpit Agarwal, December 2024
[openreview] [pdf] [bib]
Certifications: Featured Event: iclr.cc/ICLR/2025/Journal_Track -
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep, Yixuan Li, December 2024
[openreview] [pdf] [bib] [code] -
Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks
Rui Patrick Xian, Alex Jihun Lee, Satvik Lolla, Vincent Wang, Russell Ro, Qiming Cui, Reza Abbasi-Asl, December 2024
[openreview] [pdf] [bib] [code] -
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb, December 2024
[openreview] [pdf] [bib] -
Assessing Robustness via Score-Based Adversarial Image Generation
Marcel Kollovieh, Lukas Gosch, Marten Lienen, Yan Scholten, Leo Schwinn, Stephan Günnemann, December 2024
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er, December 2024
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2026/Journal_Track -
Planning with Consistency Models for Model-Based Offline Reinforcement Learning
Guanquan Wang, Takuya Hiraoka, Yoshimasa Tsuruoka, December 2024
[openreview] [pdf] [bib] [code] -
For Robust Worst-Group Accuracy, Ignore Group Annotations
Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Richard Nock, Lalitha Sankar, December 2024
[openreview] [pdf] [bib] [code] -
Uniformly Distributed Feature Representations for Fair and Robust Learning
Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo, December 2024
[openreview] [pdf] [bib] [code] -
MaskBit: Embedding-free Image Generation via Bit Tokens
Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen, December 2024
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility Featured Event: iclr.cc/ICLR/2025/Journal_Track -
When low-vision task meets dense prediction tasks with less data: an auxiliary self-trained geometry regularization
ZAIWANG GU, Weide Liu, Xulei Yang, Chuan-Sheng Foo, Jun Cheng, December 2024
[openreview] [pdf] [bib] [code] -
A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression
Deepak Maurya, Jean Honorio, December 2024
[openreview] [pdf] [bib] -
Generalization Bounds with Logarithmic Negative-Sample Dependence for Adversarial Contrastive Learning
Naghmeh Ghanooni, Waleed Mustafa, Yunwen Lei, Anthony Widjaja Lin, Marius Kloft, December 2024
[openreview] [pdf] [bib] -
Enhancing Contrastive Clustering with Negative Pair-guided Regularization
Abhishek Kumar, Anish Chakrabarty, Sankha Subhra Mullick, Swagatam Das, December 2024
[openreview] [pdf] [bib] [code] -
Score-Based Multimodal Autoencoder
Daniel Wesego, Pedram Rooshenas, December 2024
[openreview] [pdf] [bib] [code] -
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?
Peter Hase, Thomas Hofweber, Xiang Zhou, Elias Stengel-Eskin, Mohit Bansal, December 2024
[openreview] [pdf] [bib] -
Application of Bagged Copula-GP: Confirming Neural Dependency on Pupil Dilation
Maximilian Walden, December 2024
[openreview] [pdf] [bib] [code] -
Toward a Complete Criterion for Value of Information in Insoluble Decision Problems
Ryan Carey, Sanghack Lee, Robin J. Evans, December 2024
[openreview] [pdf] [bib] -
Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback–Leibler Divergence
Mark Chiu Chong, Hien Duy Nguyen, TrungTin Nguyen, December 2024
[openreview] [pdf] [bib] [code] -
Training LLMs over Neurally Compressed Text
Brian Lester, Jaehoon Lee, Alexander A Alemi, Jeffrey Pennington, Adam Roberts, Jascha Sohl-Dickstein, Noah Constant, December 2024
[openreview] [pdf] [bib]
Certifications: Featured J2C Event: iclr.cc/ICLR/2025/Journal_Track -
Implicit Regularization of AdaDelta
Matthias Englert, Ranko Lazic, Avi Semler, December 2024
[openreview] [pdf] [bib] [code] -
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources
Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini, December 2024
[openreview] [pdf] [bib]
Certifications: Survey -
Analysis of Classifier-Free Guidance Weight Schedulers
Xi WANG, Nicolas Dufour, Nefeli Andreou, Marie-Paule CANI, Victoria Fernandez Abrevaya, David Picard, Vicky Kalogeiton, December 2024
[openreview] [pdf] [bib] -
Reinforcement Learning for Node Selection in Branch-and-Bound
Alexander Julian Mattick, Christopher Mutschler, December 2024
[openreview] [pdf] [bib] [code] -
Set Features for Anomaly Detection
Niv Cohen, Issar Tzachor, Yedid Hoshen, December 2024
[openreview] [pdf] [bib] [code] -
Separable Operator Networks
Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang, December 2024
[openreview] [pdf] [bib] [code] -
Fast Computation of Leave-One-Out Cross-Validation for $k$-NN Regression
Motonobu Kanagawa, December 2024
[openreview] [pdf] [bib] [code] -
Masked Autoencoders are PDE Learners
Anthony Zhou, Amir Barati Farimani, December 2024
[openreview] [pdf] [bib] [code] -
Neural Graph Reasoning: A Survey on Complex Logical Query Answering
Hongyu Ren, Mikhail Galkin, Zhaocheng Zhu, Jure Leskovec, Michael Cochez, December 2024
[openreview] [pdf] [bib]
Certifications: Survey -
A Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices
Sania Sinha, Tanawan Premsri, Parisa Kordjamshidi, December 2024
[openreview] [pdf] [bib]
Certifications: Survey -
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications
Binxu Wang, John Vastola, December 2024
[openreview] [pdf] [bib] [code] -
When Stability meets Sufficiency: Informative Explanations that do not Overwhelm
Ronny Luss, Amit Dhurandhar, December 2024
[openreview] [pdf] [bib] -
Improving Text-to-Image Consistency via Automatic Prompt Optimization
Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal, December 2024
[openreview] [pdf] [bib]
Certifications: Featured J2C Event: iclr.cc/ICLR/2025/Journal_Track -
Exact Fractional Inference via Re-Parametrization \& Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms
Hamidreza Behjoo, Michael Chertkov, December 2024
[openreview] [pdf] [bib] -
Hierarchical VAE with a Diffusion-based VampPrior
Anna Kuzina, Jakub M. Tomczak, December 2024
[openreview] [pdf] [bib] [code] -
Feudal Graph Reinforcement Learning
Tommaso Marzi, Arshjot Singh Khehra, Andrea Cini, Cesare Alippi, December 2024
[openreview] [pdf] [bib] [code] -
Towards Size-Independent Generalization Bounds for Deep Operator Nets
Pulkit Gopalani, Sayar Karmakar, Dibyakanti Kumar, Anirbit Mukherjee, December 2024
[openreview] [pdf] [bib] [code] -
Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems
Peiran Yu, Junyi Li, Heng Huang, December 2024
[openreview] [pdf] [bib]
Certifications: Featured Event: iclr.cc/ICLR/2025/Journal_Track -
UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation
Junhong Shen, Tanya Marwah, Ameet Talwalkar, December 2024
[openreview] [pdf] [bib] [code] -
Evaluating the Evaluators: Are Validation Methods for Few-Shot Learning Fit for Purpose?
Luísa Shimabucoro, Ruchika Chavhan, Timothy Hospedales, Henry Gouk, December 2024
[openreview] [pdf] [bib] [code] -
Constraining Generative Models for Engineering Design with Negative Data
Lyle Regenwetter, Giorgio Giannone, Akash Srivastava, Dan Gutfreund, Faez Ahmed, December 2024
[openreview] [pdf] [bib] [code] [video] -
Strengthening Interpretability: An Investigative Study of Integrated Gradient Methods
Shree Singhi, Anupriya Kumari, December 2024
[openreview] [pdf] [bib] [code] -
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking
Simon Zhang, Cheng Xin, Tamal K. Dey, November 2024
[openreview] [pdf] [bib] [code] -
Optimized Tradeoffs for Private Prediction with Majority Ensembling
Shuli Jiang, Qiuyi Zhang, Gauri Joshi, November 2024
[openreview] [pdf] [bib] -
Dataset Distillation via Curriculum Data Synthesis in Large Data Era
Zeyuan Yin, Zhiqiang Shen, November 2024
[openreview] [pdf] [bib] [code] -
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms
Yu Inatsu, Shion Takeno, Kentaro KUTSUKAKE, Ichiro Takeuchi, November 2024
[openreview] [pdf] [bib] -
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control
Tian Xia, Xuweiyi Chen, Sihan Xu, November 2024
[openreview] [pdf] [bib] [code] -
Audio-Visual Dataset Distillation
Saksham Singh Kushwaha, Siva Sai Nagender Vasireddy, Kai Wang, Yapeng Tian, November 2024
[openreview] [pdf] [bib] [code] [video] -
Stealthy Backdoor Attack via Confidence-driven Sampling
Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou, November 2024
[openreview] [pdf] [bib] -
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary
Takashi Morita, November 2024
[openreview] [pdf] [bib] [code] -
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis
Han Yu, Peikun Guo, Akane Sano, November 2024
[openreview] [pdf] [bib] -
CREW: Facilitating Human-AI Teaming Research
Lingyu Zhang, Zhengran Ji, Boyuan Chen, November 2024
[openreview] [pdf] [bib] [code] [video] -
Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally
Manon Verbockhaven, Théo Rudkiewicz, Sylvain Chevallier, Guillaume Charpiat, November 2024
[openreview] [pdf] [bib] [code] [video] -
Learning State Reachability as a Graph in Translation Invariant Goal-based Reinforcement Learning Tasks
Hedwin BONNAVAUD, Alexandre Albore, Emmanuel Rachelson, November 2024
[openreview] [pdf] [bib] -
No Identity, no problem: Motion through detection for people tracking
Martin Engilberge, Friedrich Wilke Grosche, Pascal Fua, November 2024
[openreview] [pdf] [bib] [code] -
Stability and Generalization in Free Adversarial Training
Xiwei Cheng, Kexin Fu, Farzan Farnia, November 2024
[openreview] [pdf] [bib] [code] -
Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion
Si Chen, Feiyang Kang, Nikhil Abhyankar, Ming Jin, Ruoxi Jia, November 2024
[openreview] [pdf] [bib] [code] -
Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries
Patrick Chao, Patrick Blöbaum, Sapan Kirit Patel, Shiva Kasiviswanathan, November 2024
[openreview] [pdf] [bib] [code] -
Reconciling Kaplan and Chinchilla Scaling Laws
Tim Pearce, Jinyeop Song, November 2024
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning
Asaf Ben Arie, Malka Gorfine, November 2024
[openreview] [pdf] [bib] [code] -
Contaminated Online Convex Optimization
Tomoya Kamijima, Shinji Ito, November 2024
[openreview] [pdf] [bib] [code] [video] -
Deep Tabular Learning via Distillation and Language Guidance
Ruohan Wang, Wenhao Fu, Carlo Ciliberto, November 2024
[openreview] [pdf] [bib] [code] -
Feature Distillation Improves Zero-Shot Transfer from Synthetic Images
Niclas Popp, Jan Hendrik Metzen, Matthias Hein, November 2024
[openreview] [pdf] [bib] [code] [video] -
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, sujay sanghavi, November 2024
[openreview] [pdf] [bib] [code] -
Revisiting Discrete Soft Actor-Critic
haibin zhou, Tong Wei, Zichuan Lin, junyou li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye, November 2024
[openreview] [pdf] [bib] [code] -
SQL-PaLM: Improved large language model adaptation for Text-to-SQL
Ruoxi Sun, Sercan O Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister, November 2024
[openreview] [pdf] [bib] -
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang, November 2024
[openreview] [pdf] [bib] [code] -
The Harmonic Indel Distance
Bob Pepin, November 2024
[openreview] [pdf] [bib] [code] -
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence
Stephen Obadinma, Xiaodan Zhu, Hongyu Guo, November 2024
[openreview] [pdf] [bib] [code] -
Large-width asymptotics and training dynamics of $\alpha$-Stable ReLU neural networks
Stefano Favaro, Sandra Fortini, Stefano Peluchetti, November 2024
[openreview] [pdf] [bib] -
Towards Understanding Adversarial Transferability in Federated Learning
Yijiang Li, Ying Gao, Haohan Wang, November 2024
[openreview] [pdf] [bib] -
DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation
Mengxuan Hu, Zhixuan Chu, Sheng Li, November 2024
[openreview] [pdf] [bib] [code] -
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu, November 2024
[openreview] [pdf] [bib] -
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
Sean Welleck, Amanda Bertsch, Matthew Finlayson, Hailey Schoelkopf, Alex Xie, Graham Neubig, Ilia Kulikov, Zaid Harchaoui, November 2024
[openreview] [pdf] [bib]
Certifications: Survey -
Repositioning the Subject within Image
Yikai Wang, Chenjie Cao, Ke Fan, Qiaole Dong, Yifan Li, Xiangyang Xue, Yanwei Fu, November 2024
[openreview] [pdf] [bib] [code]
Certifications: J2C -
FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels
Taehyeon Kim, Donggyu Kim, Se-Young Yun, November 2024
[openreview] [pdf] [bib] -
Pretraining a Neural Operator in Lower Dimensions
AmirPouya Hemmasian, Amir Barati Farimani, November 2024
[openreview] [pdf] [bib] [code] -
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian, Easop Lee, Zachary I. Bell, Michael M. Zavlanos, Boyuan Chen, November 2024
[openreview] [pdf] [bib] [code] [video] -
Scale Equalization for Multi-Level Feature Fusion
Bum Jun Kim, Sang Woo Kim, November 2024
[openreview] [pdf] [bib] [code] -
Multi-LoRA Composition for Image Generation
Ming Zhong, yelong shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen, November 2024
[openreview] [pdf] [bib] [code] -
Trusted Aggregation (TAG): Backdoor Defense in Federated Learning
Joseph Lavond, Minhao Cheng, Yao Li, November 2024
[openreview] [pdf] [bib] [code] -
Zero-Order One-Point Gradient Estimate in Consensus-Based Distributed Stochastic Optimization
Elissa Mhanna, Mohamad Assaad, November 2024
[openreview] [pdf] [bib] -
Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials
Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo, November 2024
[openreview] [pdf] [bib] [code] -
Demonstration-Guided Multi-Objective Reinforcement Learning
Junlin Lu, Patrick Mannion, Karl Mason, November 2024
[openreview] [pdf] [bib] [code]
Certifications: J2C -
Weighted L1 and L0 Regularization Using Proximal Operator Splitting Methods
Zewude A. Berkessa, Patrik Waldmann, November 2024
[openreview] [pdf] [bib] -
Reproducibility Study of "Languange-Image COnsistency"
Konrad Szewczyk, Patrik Bartak, Mikhail Vlasenko, Fanmin Shi, November 2024
[openreview] [pdf] [bib] [code] -
AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
Max Ku, Cong Wei, Weiming Ren, Huan Yang, Wenhu Chen, November 2024
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility -
Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning
Ting Zhu, Yue Jin, Jeremie Houssineau, Giovanni Montana, November 2024
[openreview] [pdf] [bib] -
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces
Alex Beeson, David Ireland, Giovanni Montana, November 2024
[openreview] [pdf] [bib] [code] -
Gaussian-Smoothed Sliced Probability Divergences
Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso, November 2024
[openreview] [pdf] [bib] -
Differentially Private Latent Diffusion Models
Michael F Liu, Saiyue Lyu, Margarita Vinaroz, Mijung Park, November 2024
[openreview] [pdf] [bib] -
On Intriguing Layer-Wise Properties of Robust Overfitting in Adversarial Training
Duke Nguyen, Chaojian Yu, Vinoth Nandakumar, Young Choon Lee, Tongliang Liu, November 2024
[openreview] [pdf] [bib] [code] -
Is Value Functions Estimation with Classification Plug-and- play for Offline Reinforcement Learning?
Denis Tarasov, Kirill Brilliantov, Dmitrii Kharlapenko, November 2024
[openreview] [pdf] [bib] [code] [video] -
Improved Variational Bayesian Phylogenetic Inference using Mixtures
Ricky Molén, Oskar Kviman, Jens Lagergren, November 2024
[openreview] [pdf] [bib] [code] -
Video Diffusion Models: A Survey
Andrew Melnik, Michal Ljubljanac, Cong Lu, Qi Yan, Weiming Ren, Helge Ritter, November 2024
[openreview] [pdf] [bib]
Certifications: Survey -
Mantis: Interleaved Multi-Image Instruction Tuning
Dongfu Jiang, Xuan He, Huaye Zeng, Cong Wei, Max Ku, Qian Liu, Wenhu Chen, November 2024
[openreview] [pdf] [bib] [code]
Certifications: Featured Outstanding -
Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization
Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Soufiane Lamghari, Yasser H. Khalil, Xi Chen, Guojun Zhang, November 2024
[openreview] [pdf] [bib] -
DrGNN: Deep Residual Graph Neural Network with Contrastive Learning
Lecheng Zheng, Dongqi Fu, Ross Maciejewski, Jingrui He, November 2024
[openreview] [pdf] [bib] [code] -
A Single Transformer for Scalable Vision-Language Modeling
Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji, November 2024
[openreview] [pdf] [bib] [code] -
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness
Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong, November 2024
[openreview] [pdf] [bib] [code] -
Towards Backwards-Compatible Data with Confounded Domain Adaptation
Calvin McCarter, November 2024
[openreview] [pdf] [bib] [code] -
Feature learning as alignment: a structural property of gradient descent in non-linear neural networks
Daniel Beaglehole, Ioannis Mitliagkas, Atish Agarwala, November 2024
[openreview] [pdf] [bib] -
Bayesian Computation Meets Topology
Julius von Rohrscheidt, Bastian Rieck, Sebastian M Schmon, November 2024
[openreview] [pdf] [bib] [code] -
Chronos: Learning the Language of Time Series
Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang, November 2024
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer -
Language Models Speed Up Local Search for Finding Programmatic Policies
Quazi Asif Sadmine, Hendrik Baier, Levi Lelis, November 2024
[openreview] [pdf] [bib] -
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
Hee-Jun Jung, Jaehyoung Jeong, Kangil Kim, November 2024
[openreview] [pdf] [bib] [code] [video] -
Modular Federated Contrastive Learning with Twin Normalization for Resource-limited Clients
Azadeh Motamedi, IL MIN KIM, November 2024
[openreview] [pdf] [bib] -
Graphon-Explainer: Generating Model-Level Explanations for Graph Neural Networks using Graphons
Sayan Saha, Sanghamitra Bandyopadhyay, November 2024
[openreview] [pdf] [bib] [code] -
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law
Zhiyu Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian McAuley, Linda Ruth Petzold, William Yang Wang, November 2024
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Simple Steps to Success: A Method for Step-Based Counterfactual Explanations
Jenny Hamer, Nicholas Perello, Jason Valladares, Vignesh Viswanathan, Yair Zick, November 2024
[openreview] [pdf] [bib] -
Autoencoding Hyperbolic Representation for Adversarial Generation
Eric Qu, Dongmian Zou, November 2024
[openreview] [pdf] [bib] [code]
Certifications: Event: logconference.org/LoG/2024/Journal_Track -
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models
Ziting Wen, Oscar Pizarro, Stefan B. Williams, November 2024
[openreview] [pdf] [bib] [code] -
Bandits with Mean Bounds
Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai, November 2024
[openreview] [pdf] [bib] -
Merging Text Transformer Models from Different Initializations
Neha Verma, Maha Elbayad, November 2024
[openreview] [pdf] [bib] [code] -
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs
Ahmad Naser Eddin, Jacopo Bono, David Oliveira Aparicio, Hugo Ferreira, Pedro Manuel Pinto Ribeiro, Pedro Bizarro, November 2024
[openreview] [pdf] [bib] [video] -
Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps
Jakob Träuble, Lucy V Hiscox, Curtis Johnson, Carola-Bibiane Schönlieb, Gabriele S Kaminski Schierle, Angelica I Aviles-Rivero, November 2024
[openreview] [pdf] [bib] [code] -
Heterogeneous graph adaptive flow network
Lu Yiqi, Feng Ji, Wee Peng Tay, November 2024
[openreview] [pdf] [bib] [code] -
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania, November 2024
[openreview] [pdf] [bib] [code] [video] -
IM-Context: In-Context Learning for Imbalanced Regression Tasks
Ismail Nejjar, Faez Ahmed, Olga Fink, November 2024
[openreview] [pdf] [bib] -
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang, November 2024
[openreview] [pdf] [bib] -
Federated Graph Learning with Graphless Clients
Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li, November 2024
[openreview] [pdf] [bib] -
One by One, Continual Coordinating with Humans via Hyper-Teammate Identification
Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu, November 2024
[openreview] [pdf] [bib] [code] [video] -
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
Sachit Kuhar, Yash Jain, Alexey Tumanov, November 2024
[openreview] [pdf] [bib] [code] [video] -
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal, November 2024
[openreview] [pdf] [bib] -
The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models
Alexandra Hotti, Riccardo Sven Risuleo, Stefan Magureanu, Aref Moradi, Jens Lagergren, November 2024
[openreview] [pdf] [bib] [code] -
Towards Provable Log Density Policy Gradient
Pulkit Katdare, Anant A Joshi, Katherine Rose Driggs-Campbell, November 2024
[openreview] [pdf] [bib] -
Practical Synthesis of Mixed-Tailed Data with Normalizing Flows
Saba Amiri, Eric Nalisnick, Adam Belloum, Sander Klous, Leon Gommans, November 2024
[openreview] [pdf] [bib] -
Single-Shot Plug-and-Play Methods for Inverse Problems
Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero, November 2024
[openreview] [pdf] [bib] -
Hashing with Uncertainty Quantification via Sampling-based Hypothesis Testing
Yucheng Wang, Mingyuan Zhou, Xiaoning Qian, November 2024
[openreview] [pdf] [bib] [code] -
Adaptively Robust and Sparse $K$-means Clustering
HAO LI, Shonosuke Sugasawa, Shota Katayama, November 2024
[openreview] [pdf] [bib] [code] -
Modular Quantization-Aware Training for 6D Object Pose Estimation
Saqib Javed, Chengkun Li, Andrew Lawrence Price, Yinlin Hu, Mathieu Salzmann, November 2024
[openreview] [pdf] [bib] [code] [video] -
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
Renan A. Rojas-Gomez, Karan Singhal, Ali Etemad, Alex Bijamov, Warren Richard Morningstar, Philip Andrew Mansfield, November 2024
[openreview] [pdf] [bib] -
Analyzing the Impact of Learnable Softmax Temperature in Contrastive Visual-Textual Alignment Systems: Benefits, Drawbacks, and Alternative Approaches
Zhun Sun, Chao Li, November 2024
[openreview] [pdf] [bib] [code] -
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows
Lars Skaaret-Lund, Geir Storvik, Aliaksandr Hubin, November 2024
[openreview] [pdf] [bib] [code] -
Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts
Jonathan Crabbé, Pau Rodriguez, Vaishaal Shankar, Luca Zappella, Arno Blaas, November 2024
[openreview] [pdf] [bib] -
Class-Discriminative Attention Maps for Vision Transformers
Lennart Brocki, Jakub Binda, Neo Christopher Chung, November 2024
[openreview] [pdf] [bib] [code] -
Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks
Xingpeng Sun, Haoming Meng, Souradip Chakraborty, Amrit Bedi, Aniket Bera, November 2024
[openreview] [pdf] [bib] -
Efficient Model-Agnostic Multi-Group Equivariant Networks
Razan Baltaji, Sourya Basu, Lav R. Varshney, November 2024
[openreview] [pdf] [bib] [code] -
Incorporating Inductive Biases to Energy-based Generative Models
Yukun Li, Liping Liu, November 2024
[openreview] [pdf] [bib] -
SelfXit: An Unsupervised Early Exit Mechanism for Deep Neural Networks
Hossein KhademSohi, Mohammadamin Abedi, Yani Ioannou, Steve Drew, Pooyan Jamshidi, Hadi Hemmati, October 2024
[openreview] [pdf] [bib] [code] -
PerSEval: Assessing Personalization in Text Summarizers
Sourish Dasgupta, Ankush Chander, Tanmoy Chakraborty, Parth Borad, Isha Motiyani, October 2024
[openreview] [pdf] [bib] [code] -
Risk-Controlling Model Selection via Guided Bayesian Optimization
Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi Jaakkola, October 2024
[openreview] [pdf] [bib] [code]
Certifications: J2C Event: iclr.cc/ICLR/2025/Journal_Track -
Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation
Marawan Elbatel, Hualiang Wang, Jixiang CHEN, Hao Wang, Xiaomeng Li, October 2024
[openreview] [pdf] [bib] [code] -
Dependency Structure Search Bayesian Optimization for Decision Making Models
Mohit Rajpal, Lac Gia Tran, Yehong Zhang, Bryan Kian Hsiang Low, October 2024
[openreview] [pdf] [bib] -
Let There be Direction in Hypergraph Neural Networks
Stefano Fiorini, Stefano Coniglio, Michele Ciavotta, Alessio Del Bue, October 2024
[openreview] [pdf] [bib] -
How Far Are We From AGI: Are LLMs All We Need?
Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You, October 2024
[openreview] [pdf] [bib] [code]
Certifications: Survey -
Deep Kernel Learning of Nonlinear Latent Force Models
Jacob Moss, Jeremy England, Pietro Lio, October 2024
[openreview] [pdf] [bib] -
Multi-Accurate CATE is Robust to Unknown Covariate Shifts
Christoph Kern, Michael P. Kim, Angela Zhou, October 2024
[openreview] [pdf] [bib] [code]
Certifications: Featured -
Locally Adaptive Federated Learning
Sohom Mukherjee, Nicolas Loizou, Sebastian U Stich, October 2024
[openreview] [pdf] [bib] -
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes
Tian Xie, Zhiqun Zuo, Mohammad Mahdi Khalili, Xueru Zhang, October 2024
[openreview] [pdf] [bib] [code] -
KD-BIRL: Kernel Density Bayesian Inverse Reinforcement Learning</
