Redman, William T

7 publications

CPAL 2025 How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks William T Redman, Zhangyang Wang, Alessandro Ingrosso, Sebastian Goldt

NeurIPS 2024 Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems Francisco Acosta, Fatih Dinc, William T. Redman, Manu Madhav, David Klindt, Nina Miolane

NeurIPS 2024 Identifying Equivalent Training Dynamics William T. Redman, Juan Bello-Rivas, Maria Fonoberova, Ryan Mohr, Yannis G. Kevrekidis, Igor Mezić

NeurIPS 2024 Not so Griddy: Internal Representations of RNNs Path Integrating More than One Agent William T. Redman, Francisco Acosta, Santiago Acosta-Mendoza, Nina Miolane

NeurIPSW 2024 Not so Griddy: Internal Representations of RNNs Path Integrating More than One Agent William T Redman, Francisco Acosta, Santiago Acosta-Mendoza, Nina Miolane

ICLR 2022 An Operator Theoretic View on Pruning Deep Neural Networks William T Redman, Maria Fonoberova, Ryan Mohr, Yannis Kevrekidis, Igor Mezic

ICML 2022 Universality of Winning Tickets: A Renormalization Group Perspective William T Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra