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Subspace Decomposition based DNN algorithm for elliptic type multi-scale
  PDEs

Subspace Decomposition based DNN algorithm for elliptic type multi-scale PDEs

10 December 2021
Xi-An Li
Z. Xu
Lei Zhang
ArXivPDFHTML

Papers citing "Subspace Decomposition based DNN algorithm for elliptic type multi-scale PDEs"

5 / 5 papers shown
Title
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise
Yilong Hou
Xi’an Li
Jinran Wu
You-Gan Wang
63
1
0
18 Aug 2024
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
27
65
0
19 Jan 2022
On the eigenvector bias of Fourier feature networks: From regression to
  solving multi-scale PDEs with physics-informed neural networks
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sifan Wang
Hanwen Wang
P. Perdikaris
131
438
0
18 Dec 2020
Multi-scale Deep Neural Network (MscaleDNN) for Solving
  Poisson-Boltzmann Equation in Complex Domains
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains
Ziqi Liu
Wei Cai
Zhi-Qin John Xu
AI4CE
206
122
0
22 Jul 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural
  Networks
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
139
201
0
07 Feb 2020
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