Ryan Mohr

According to our database, Ryan Mohr authored at least 6 papers between 2010 and 2022.

Collaborative distances:

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

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

Applications of Koopman Mode Analysis to Neural Networks.

Ryan Mohr, Maria Fonoberova, Iva Manojlovic, Aleksandr Andrejcuk, Zlatko Drmac, Yannis G. Kevrekidis, Igor Mezic

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

Combining Programmable Potentials and Neural Networks for Materials Problems.

Ryan Mohr, Allan M. Avila, Soham Ghosh, Ananta Bhattarai, Muqiao Yang, Xintian Feng, Martin Head-Gordon, Ruslan Salakhutdinov, Maria Fonoberova, Igor Mezic

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

Extended Dynamic Mode Decomposition with Learned Koopman Eigenfunctions for Prediction and Control.

Carl Folkestad, Daniel Pastor, Igor Mezic, Ryan Mohr, Maria Fonoberova, Joel Burdick

Proceedings of the 2020 American Control Conference, 2020

2010

The use of ergodic theory in designing dynamics for search problems.

Ryan Mohr, Igor Mezic

Proceedings of the 49th IEEE Conference on Decision and Control, 2010