William T. Redman

According to our database, William T. Redman authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Koopman Learning with Episodic Memory.

William T. Redman, Dean Huang, Maria Fonoberova, Igor Mezic

CoRR, 2023

On Equivalent Optimization of Machine Learning Methods.

William T. Redman, Juan M. Bello-Rivas, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic

CoRR, 2023

2022

Universality of Winning Tickets: A Renormalization Group Perspective.

William T. Redman, Tianlong Chen, Zhangyang Wang, Akshunna S. Dogra

Proceedings of the International Conference on Machine Learning, 2022

An Operator Theoretic View On Pruning Deep Neural Networks.

William T. Redman, Maria Fonoberova, Ryan Mohr, Yannis G. Kevrekidis, Igor Mezic

Proceedings of the Tenth International Conference on Learning Representations, 2022

Algorithmic (Semi-)Conjugacy via Koopman Operator Theory.

William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

An Operator Theoretic Perspective on Pruning Deep Neural Networks.

William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic

CoRR, 2021

Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective.

William T. Redman, Tianlong Chen, Akshunna S. Dogra, Zhangyang Wang

CoRR, 2021

On Koopman Mode Decomposition and Tensor Component Analysis.

William T. Redman

CoRR, 2021

2020

Local error quantification for efficient neural network dynamical system solvers.

Akshunna S. Dogra, William T. Redman

CoRR, 2020

Optimizing Neural Networks via Koopman Operator Theory.

Akshunna S. Dogra, William T. Redman

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020