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Kailiang Wu

Positional Knowledge is All You Need: Position-induced Transformer for Operator Learning

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May 15, 2024
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Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems

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Apr 15, 2023
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Deep-OSG: A deep learning approach for approximating a family of operators in semigroup to model unknown autonomous systems

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Feb 07, 2023
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Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space

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Jun 07, 2021
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Methods to Recover Unknown Processes in Partial Differential Equations Using Data

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Mar 05, 2020
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A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data

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Feb 11, 2020
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Data-Driven Deep Learning of Partial Differential Equations in Modal Space

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Oct 18, 2019
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Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data

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May 24, 2019
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Data Driven Governing Equations Approximation Using Deep Neural Networks

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Nov 13, 2018
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Numerical Aspects for Approximating Governing Equations Using Data

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Sep 24, 2018
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