Study Materials

1. Generative Modeling by Transport: Mathematical Foundations

   Lecture Notes
   By framing generative modeling as the mathematical transport of simple noise into complex data distributions, this series bridges the AI and mathematical physics communities to provide a unified, rigorous foundation for understanding, analyzing, and advancing modern probability path-based models.