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Tan Bui-Thanh

Department of Aerospace Engineering and Engineering Mechanics, the University of Texas at Austin, Texas, The Oden Institute for Computational Engineering and Sciences, the University of Texas at Austin, Texas

TAE: A Model-Constrained Tikhonov Autoencoder Approach for Forward and Inverse Problems

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Dec 09, 2024
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A model-constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization

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Sep 27, 2024
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An autoencoder compression approach for accelerating large-scale inverse problems

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Apr 10, 2023
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Layerwise Sparsifying Training and Sequential Learning Strategy for Neural Architecture Adaptation

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Nov 13, 2022
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A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems

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Aug 09, 2022
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A Unified and Constructive Framework for the Universality of Neural Networks

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Jan 07, 2022
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Model-Constrained Deep Learning Approaches for Inverse Problems

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May 25, 2021
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Solving Forward and Inverse Problems Using Autoencoders

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Jan 06, 2020
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Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models

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Dec 17, 2019
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