William T. Redman

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 12

Top Topics

Component Analysis

Machine Learning Methods

Top Venues

Publications

William T. Redman, Dean Huang, Maria Fonoberova, Igor Mezic
Koopman Learning with Episodic Memory. CoRR (2023)
William T. Redman, Juan M. Bello-Rivas, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic
On Equivalent Optimization of Machine Learning Methods. CoRR (2023)
William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory. CDC (2022)
William T. Redman, Maria Fonoberova, Ryan Mohr, Yannis G. Kevrekidis, Igor Mezic
An Operator Theoretic View On Pruning Deep Neural Networks. ICLR (2022)
William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic
Algorithmic (Semi-)Conjugacy via Koopman Operator Theory. CoRR (2022)
William T. Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra
Universality of Winning Tickets: A Renormalization Group Perspective. ICML (2022)
William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic
An Operator Theoretic Perspective on Pruning Deep Neural Networks. CoRR (2021)
William T. Redman
On Koopman Mode Decomposition and Tensor Component Analysis. CoRR (2021)
William T. Redman, Tianlong Chen, Akshunna S. Dogra, Zhangyang Wang
Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective. CoRR (2021)
Akshunna S. Dogra, William T. Redman
Optimizing Neural Networks via Koopman Operator Theory. NeurIPS (2020)
Akshunna S. Dogra, William T. Redman
Local error quantification for efficient neural network dynamical system solvers. CoRR (2020)
Akshunna S. Dogra, William T. Redman
Optimizing Neural Networks via Koopman Operator Theory. CoRR (2020)