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A Shallow Ritz Method for Elliptic Problems with Singular Sources
v1v2v3 (latest)

A Shallow Ritz Method for Elliptic Problems with Singular Sources

26 July 2021
M. Lai
Che-Chia Chang
Wei-Syuan Lin
Wei-Fan Hu
Te-Sheng Lin
ArXiv (abs)PDFHTML

Papers citing "A Shallow Ritz Method for Elliptic Problems with Singular Sources"

9 / 9 papers shown
Title
A Discontinuity Capturing Shallow Neural Network for Elliptic Interface
  Problems
A Discontinuity Capturing Shallow Neural Network for Elliptic Interface Problems
Wei-Fan Hu
Te-Sheng Lin
M. Lai
117
57
0
10 Jun 2021
PFNN: A Penalty-Free Neural Network Method for Solving a Class of
  Second-Order Boundary-Value Problems on Complex Geometries
PFNN: A Penalty-Free Neural Network Method for Solving a Class of Second-Order Boundary-Value Problems on Complex Geometries
H. Sheng
Chao Yang
56
118
0
14 Apr 2020
Deep least-squares methods: an unsupervised learning-based numerical
  method for solving elliptic PDEs
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs
Z. Cai
Jingshuang Chen
Min Liu
Xinyu Liu
60
89
0
05 Nov 2019
On Empirical Comparisons of Optimizers for Deep Learning
On Empirical Comparisons of Optimizers for Deep Learning
Dami Choi
Christopher J. Shallue
Zachary Nado
Jaehoon Lee
Chris J. Maddison
George E. Dahl
107
259
0
11 Oct 2019
Approximating Continuous Functions by ReLU Nets of Minimal Width
Approximating Continuous Functions by ReLU Nets of Minimal Width
Boris Hanin
Mark Sellke
107
239
0
31 Oct 2017
The Deep Ritz method: A deep learning-based numerical algorithm for
  solving variational problems
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems
E. Weinan
Ting Yu
125
1,393
0
30 Sep 2017
The Expressive Power of Neural Networks: A View from the Width
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
99
899
0
08 Sep 2017
DGM: A deep learning algorithm for solving partial differential
  equations
DGM: A deep learning algorithm for solving partial differential equations
Justin A. Sirignano
K. Spiliopoulos
AI4CE
97
2,067
0
24 Aug 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1