Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm

Sep 30, 2019
Zhiyuan Liu, Guohui Ding, Lijun Chen, Enoch Yeung

* 8 pages, 2 figures 

  Access Paper or Ask Questions

A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings

Jan 09, 2019
W. Brent Daniel, Enoch Yeung

  Access Paper or Ask Questions

Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

Mar 22, 2018
Panos Stinis, Tobias Hagge, Alexandre M. Tartakovsky, Enoch Yeung

* 29 pages 

  Access Paper or Ask Questions

A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators

Dec 08, 2017
Charles A. Johnson, Enoch Yeung

* 8 pages 

  Access Paper or Ask Questions

Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems

Nov 17, 2017
Enoch Yeung, Soumya Kundu, Nathan Hodas

* 16 pages, 5 figures 

  Access Paper or Ask Questions

Solving differential equations with unknown constitutive relations as recurrent neural networks

Oct 06, 2017
Tobias Hagge, Panos Stinis, Enoch Yeung, Alexandre M. Tartakovsky

* 19 pages, 8 figures 

  Access Paper or Ask Questions

Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians

Oct 04, 2017
Zhiyuan Liu, Soumya Kundu, Lijun Chen, Enoch Yeung

* 8 pages, submitted to IEEE 2018 ACC 

  Access Paper or Ask Questions