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TNet: A Model-Constrained Tikhonov Network Approach for Inverse Problems

TNet: A Model-Constrained Tikhonov Network Approach for Inverse Problems

25 May 2021
Hai V. Nguyen
T. Bui-Thanh
    PINN
    AI4CE
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Papers citing "TNet: A Model-Constrained Tikhonov Network Approach for Inverse Problems"

5 / 5 papers shown
Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Matthias Chung
B. Peters
Michael Solomon
34
0
0
10 May 2025
Differentiable programming across the PDE and Machine Learning barrier
Differentiable programming across the PDE and Machine Learning barrier
N. Bouziani
David A. Ham
Ado Farsi
PINN
AI4CE
34
1
0
09 Sep 2024
Physics-driven machine learning models coupling PyTorch and Firedrake
Physics-driven machine learning models coupling PyTorch and Firedrake
N. Bouziani
David A. Ham
AI4CE
22
3
0
13 Mar 2023
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
39
494
0
09 Feb 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
208
2,287
0
18 Oct 2020
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