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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 

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

Jan 09, 2019
W. Brent Daniel, Enoch Yeung


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Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

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

* 29 pages 

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

Dec 08, 2017
Charles A. Johnson, Enoch Yeung

* 8 pages 

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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 

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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 

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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 

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