A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks

26 April 2023

Papers citing "A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks"

6 / 6 papers shown

Title
A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks Jihun Han Mihai Nica A. Stinchcombe 41 50 0 17 Jan 2020
Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport Qizhi He D. Barajas-Solano G. Tartakovsky A. Tartakovsky AI4CE 27 258 0 06 Dec 2019
Deep splitting method for parabolic PDEs C. Beck S. Becker Patrick Cheridito Arnulf Jentzen Ariel Neufeld 48 127 0 08 Jul 2019
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit Belinda Tzen Maxim Raginsky DiffM 52 207 0 23 May 2019
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems E. Weinan Ting Yu 83 1,373 0 30 Sep 2017
Why Deep Neural Networks for Function Approximation? Shiyu Liang R. Srikant 52 383 0 13 Oct 2016