CCN: Publications

From stuff to things: Responses of neurons in macaque V4 to textures and objects

Justin D. Lieber, T. D. Oleskiw , Laura Palmieri, E. P. Simoncelli, J. A. Movshon

The Squealer: Sensification of model exploration and model misfit

A. Gelman, Andrew H. Jaffe, Eliot Carlson, P. Greengard

Similarity of Neural Network Representations in Superposition

Sunny Liu, Habon Issa, André Longon, Liv Gorton, Meenakshi Khosla, A. Williams, David Klindt

GEOPHYS: The Geometry of Physical Plausibility

Christian Internò, Alexander Pondaven, Habon Issa, Fabio Pizzati, Francesco Pinto, Markus Olhofer, Ivan Laptev, Philip Torr, E. P. Simoncelli, Barbara Hammer, David Klindt

Learning a Maximum Entropy Model for Visual Textures using Diffusion

X. Zhao , E. P. Simoncelli

Stochastic Thermodynamics of Score Matching in Diffusion Models

X. Ding, H. T. Quan, Y. Tu

Task-Induced Representational Invariances Depend on Learning Objective in Deep RL

Manu Srinath Halvagal, S. Lee, S. Chung

Diffusion models learn underlying trends in actomyosin networks and predict behavior at unseen filament turnover

Elisabeth Rennert, A. K. Behera, Yuqing Qiu, Suriyanarayanan Vaikuntanathan

Two Speeds of Learning: A Representation-Readout Decomposition of Grokking and Double Descent

C. Chou , Oscar Uzdelewicz, Neng-Chun Chiu, Yao-Yuan Yang, S. Chung

Learning Normalized Energy Models for Linear Inverse Problems

Nicolas Zilberstein, Santiago Segarra, E. P. Simoncelli, F. Guth