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dani2442's Blog

Recent content on dani2442's Blog

dani2442.github.ioRSS feed ↗23 posts

Latest posts

Neural ODEs and Neural PDEs

A unified, rigorous formulation of Neural ODEs and Neural PDEs.

Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models

Why the HJB is Bellman's equation in continuous time, why continuous time matters, and how to solve the resulting control problem with neural policy iteration.

The Linear Quadratic control problem in Infinite-dimensions

Why the HJB is Bellman's equation in continuous time, why continuous time matters, and how to solve the resulting control problem with neural policy iteration.

Harmonic Analysis: Peter-Weyl Theorem and Machine Learning

An overview of the Peter-Weyl theorem and its applications in machine learning.

Industries destined to collapse

Supply compounds forever, but demand (attention) doesn't.

Notes on Generalization Theory

Generalization bounds and theory for machine learning models.

Neo Hospitals

The future of healthcare in the age of AI.

Space Piracy

Why piracy is likely to move to orbit, and how to defend against it.

Creativity in the Age of AI: The curse of knowledge

When answers get cheap, originality becomes scarce

Fusion Energy Simulation: Tokamak

Notes on Tokamak transport PDEs.

Talk at Workshop in Palermo (Italy)

Workshop: 'The Mathematics of Scientific Machine Learning and Digital Twins'

Self-Attention, Kernel Methods and G-Metric Spaces

An introduction to Higher-Order Attention, Kernel Methods, and G-Metric Spaces.

The Importance of (Good) Metrics

We live surrounded by metrics

Gaussian Processes

Math and Code

Low-Earth Orbit

Analysis and Predictions

Prediction Markets

Analysis, Predictions and Experiments

Analog computing in LLMs

Analog computing AI

Physics-Informed Neural Networks

Introduction to Physics-Informed Neural Networks

Functional Principal Component Analysis

Introduction to Functional PCA.

Differentiable programming for gradient-based control and optimization in physical systems

Optimization using Differntiable Programming and Neural ODEs.

Traffic Flow Dynamics

Introduction to Traffic Flow Dynamics.

Nonlinear Functional Analysis: Bifurcation Theory

Introduction to Bifurcation Theory from simple eigenvalues.

About

Hi, this is Daniel López Montero. I will upload notes, projects and some thoughts on topics I am interested in. I am a PhD student of Mathematics researching in Machine Learning, and like to program, read and play football, basketball and padel in my spare time.