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Enoch Yeung

Learning Invariant Subspaces of Koopman Operators--Part 2: Heterogeneous Dictionary Mixing to Approximate Subspace Invariance

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Dec 14, 2022
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Learning Invariant Subspaces of Koopman Operators--Part 1: A Methodology for Demonstrating a Dictionary's Approximate Subspace Invariance

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Dec 14, 2022
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Heterogeneous mixtures of dictionary functions to approximate subspace invariance in Koopman operators

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Jun 27, 2022
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Towards Scalable Koopman Operator Learning: Convergence Rates and A Distributed Learning Algorithm

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Sep 30, 2019
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A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings

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Jan 09, 2019
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Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

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Mar 22, 2018
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A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators

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Dec 08, 2017
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Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems

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Nov 17, 2017
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Solving differential equations with unknown constitutive relations as recurrent neural networks

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Oct 06, 2017
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Decomposition of Nonlinear Dynamical Systems Using Koopman Gramians

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Oct 04, 2017
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