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One world theoretical machine learning

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Alex Damian - Understanding Optimization in Deep Learning with Central Flows

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Minshuo Chen - Unlocking Adaptive Generative Decision-Making with Diffusion Models

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Tizian Wenzel: On the optimal shape parameter for kernel methods and beyond

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Nicolas Boffi - Flow map language models

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Xiong Wang: Statistical learning problems in interacting particle systems

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Giulio Biroli - Why Diffusion Models Don't Memorize

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Pierre-Alexandre Mattei - Ensembles in machine learning: (simple) theory and (simple) practice

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Yingzhen Li - Variational Uncertainty Decomposition for In-Context Learning

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Qing Qu - Understanding Generalization of Deep Generative Models based on Low-dimensional Structures

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Andrew Ilersich - Learning Stochastic Multiscale Models of Spatiotemporal Systems

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