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Transformer Meets Boundary Value Inverse Problems

Transformer Meets Boundary Value Inverse Problems

29 September 2022
Ruchi Guo
Shuhao Cao
Long Chen
    MedIm
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Papers citing "Transformer Meets Boundary Value Inverse Problems"

7 / 7 papers shown
Title
Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
Chuqi Chen
Yahong Yang
Yang Xiang
Wenrui Hao
18
2
0
23 May 2024
MAgNet: Mesh Agnostic Neural PDE Solver
MAgNet: Mesh Agnostic Neural PDE Solver
Oussama Boussif
D. Assouline
L. Benabbou
Yoshua Bengio
AI4CE
90
21
0
11 Oct 2022
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
57
76
0
08 Sep 2022
Generic bounds on the approximation error for physics-informed (and)
  operator learning
Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck
Siddhartha Mishra
PINN
56
58
0
23 May 2022
Nonparametric learning of kernels in nonlocal operators
Nonparametric learning of kernels in nonlocal operators
Fei Lu
Qi An
Yue Yu
25
18
0
23 May 2022
Multiwavelet-based Operator Learning for Differential Equations
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta
Xiongye Xiao
P. Bogdan
115
150
0
28 Sep 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
197
2,254
0
18 Oct 2020
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