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Deep Ritz revisited

Deep Ritz revisited

9 December 2019
Johannes Müller
Marius Zeinhofer
ArXivPDFHTML

Papers citing "Deep Ritz revisited"

5 / 5 papers shown
Title
Unsupervised Random Quantum Networks for PDEs
Unsupervised Random Quantum Networks for PDEs
Josh Dees
Antoine Jacquier
Sylvain Laizet
24
2
0
21 Dec 2023
Deep Learning Methods for Partial Differential Equations and Related
  Parameter Identification Problems
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems
Derick Nganyu Tanyu
Jianfeng Ning
Tom Freudenberg
Nick Heilenkötter
A. Rademacher
U. Iben
Peter Maass
AI4CE
23
34
0
06 Dec 2022
Convergence analysis of unsupervised Legendre-Galerkin neural networks
  for linear second-order elliptic PDEs
Convergence analysis of unsupervised Legendre-Galerkin neural networks for linear second-order elliptic PDEs
Seungchan Ko
S. Yun
Youngjoon Hong
30
5
0
16 Nov 2022
Interpolating between BSDEs and PINNs: deep learning for elliptic and
  parabolic boundary value problems
Interpolating between BSDEs and PINNs: deep learning for elliptic and parabolic boundary value problems
Nikolas Nusken
Lorenz Richter
PINN
DiffM
38
27
0
07 Dec 2021
An overview on deep learning-based approximation methods for partial
  differential equations
An overview on deep learning-based approximation methods for partial differential equations
C. Beck
Martin Hutzenthaler
Arnulf Jentzen
Benno Kuckuck
35
146
0
22 Dec 2020
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