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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

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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