Autoregressive networks and its applications in statistical physics and quantum error-correcting codes

Molecular Dynamics and Machine Learning

Sampling Problems in Machine Learning and Molecular Modeling

AI for scientific simulation, design, and discovery

Quantitative Description of Single Cells and Their Dynamics

Generative models for physicists

Topics in AI for Physics

Deep learning for high energy nuclear physics

Are there physical limits on machine learning?

Expediting astronomical research with simulation-based inference and large language model agents

Machine learning stochastic dynamics

The Science of Simplicity: Sloppiness Analysis in Complex System Research

Introduction to Information Geometry