22 items tagged
Analytical Theory of Diffusion Models
Invited talk at the Houston Computational Neuroscience Journal Club
Theoretical Foundations of Diffusion Models
Diffusion Models and Solvable Analytical Cases
Generative and Predictive AI for Closed-loop Visual Neuroscience
From Closed-Loop Vision to Creative Machines: Generative Models as Tools and Theories of Neural Representation and Creativity
Dissociation between Visual Neuron Prediction and Control: A Regression-Theoretic Perspective
From Renormalization to Generative Universality: A Random Matrix Theory of Diffusion Consistency
What We Learn about Diffusion Models from the Linear Case: An Analytical Lens into Sampling, Learning, Receptive Field and Consistency
The attention mechanism underlying relational object generation in text-to-image diffusion transformers
Analytical Theory of Spectral Effects in Sampling and Learning of Diffusion Model
Analytical Theory of Spectral Bias in Diffusion Sampling and Learning