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Multi-scale Deep Neural Networks for Solving High Dimensional PDEs

Multi-scale Deep Neural Networks for Solving High Dimensional PDEs

25 October 2019
Wei Cai
Zhi-Qin John Xu
    AI4CE
ArXivPDFHTML

Papers citing "Multi-scale Deep Neural Networks for Solving High Dimensional PDEs"

17 / 17 papers shown
Title
Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems
Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems
Siavash Khodakarami
Vivek Oommen
Aniruddha Bora
George Karniadakis
AI4CE
65
2
0
17 Mar 2025
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep
  Learning
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning
Ronglong Fang
Yuesheng Xu
29
3
0
21 Oct 2024
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling
Adrienne M. Propp
Daniel M. Tartakovsky
AI4CE
33
2
0
16 Oct 2024
On the expressiveness and spectral bias of KANs
On the expressiveness and spectral bias of KANs
Yixuan Wang
Jonathan W. Siegel
Ziming Liu
Thomas Y. Hou
37
10
0
02 Oct 2024
Dilated convolution neural operator for multiscale partial differential
  equations
Dilated convolution neural operator for multiscale partial differential equations
Bo Xu
Xinliang Liu
Lei Zhang
AI4CE
34
3
0
16 Jul 2024
Approximation of Solution Operators for High-dimensional PDEs
Approximation of Solution Operators for High-dimensional PDEs
Nathan Gaby
Xiaojing Ye
30
0
0
18 Jan 2024
Neural Control of Parametric Solutions for High-dimensional Evolution
  PDEs
Neural Control of Parametric Solutions for High-dimensional Evolution PDEs
Nathan Gaby
X. Ye
Haomin Zhou
19
6
0
31 Jan 2023
Computing non-equilibrium trajectories by a deep learning approach
Computing non-equilibrium trajectories by a deep learning approach
E. Simonnet
AI4CE
27
6
0
08 Oct 2022
On the Activation Function Dependence of the Spectral Bias of Neural
  Networks
On the Activation Function Dependence of the Spectral Bias of Neural Networks
Q. Hong
Jonathan W. Siegel
Qinyan Tan
Jinchao Xu
34
23
0
09 Aug 2022
A Neural Network Approach for Homogenization of Multiscale Problems
A Neural Network Approach for Homogenization of Multiscale Problems
Jihun Han
Yoonsang Lee
35
13
0
04 Jun 2022
BI-GreenNet: Learning Green's functions by boundary integral network
BI-GreenNet: Learning Green's functions by boundary integral network
Guochang Lin
Fu-jun Chen
Pipi Hu
Xiang Chen
Junqing Chen
Jun Wang
Zuoqiang Shi
34
20
0
28 Apr 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
33
66
0
19 Jan 2022
Hierarchical Learning to Solve Partial Differential Equations Using
  Physics-Informed Neural Networks
Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks
Jihun Han
Yoonsang Lee
AI4CE
24
10
0
02 Dec 2021
An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural
  Network
An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network
Tao Luo
Zheng Ma
Zhiwei Wang
Z. Xu
Yaoyu Zhang
4
4
0
25 May 2021
Friedrichs Learning: Weak Solutions of Partial Differential Equations
  via Deep Learning
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning
Fan Chen
J. Huang
Chunmei Wang
Haizhao Yang
28
30
0
15 Dec 2020
Wide-band butterfly network: stable and efficient inversion via
  multi-frequency neural networks
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks
Matthew T.C. Li
L. Demanet
Leonardo Zepeda-Núnez
35
8
0
24 Nov 2020
A priori generalization error for two-layer ReLU neural network through minimum norm solution
Zhi-Qin John Xu
Jiwei Zhang
Yaoyu Zhang
Chengchao Zhao
MLT
8
1
0
06 Dec 2019
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