Analytical Theory of Diffusion Models
Invited talk at the Houston Computational Neuroscience Journal Club
High-Dimensional Gradient-Free Optimization for Neuroscience, Interpretability and LLMs: Why It Works and How to Make It Better
Introduction to Diffusion Models: Theory and Practise
Theoretical Foundations of Diffusion Models
Neuronal Tuning Landscape on Generative Image Manifolds
From Closed-Loop Vision to Creative Machines: Generative Models as Tools and Theories of Neural Representation and Creativity
Mechanistic Interpretability and Application to Visual Neuroscience
Diffusion Models and Solvable Analytical Cases