Article-Journal

Parametric control along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment

On the importance of dynamic range and sample statistics in fitting neuronal encoding models

Feature accentuation along the encoding axes of IT neurons uncovers hidden differences in model-brain alignment

Factorized convolution models for predicting and interpreting neuronal tuning in natural images

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

An analytical theory of power law spectral bias in the learning dynamics of diffusion models

How do diffusion models learn and generalize on abstract rules for reasoning?

Neural Dynamics of Object Manifold Alignment in the Ventral Stream

The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications

Diffusion models generate images like painters: an analytical theory of outline first, details later