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Neural Network Approximations of PDEs Beyond Linearity: A
  Representational Perspective

Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective

21 October 2022
Tanya Marwah
Zachary Chase Lipton
Jianfeng Lu
Andrej Risteski
ArXivPDFHTML

Papers citing "Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective"

5 / 5 papers shown
Title
U-Nets as Belief Propagation: Efficient Classification, Denoising, and
  Diffusion in Generative Hierarchical Models
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
Song Mei
3DV
AI4CE
DiffM
29
11
0
29 Apr 2024
A Priori Generalization Error Analysis of Two-Layer Neural Networks for
  Solving High Dimensional Schrödinger Eigenvalue Problems
A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schrödinger Eigenvalue Problems
Jianfeng Lu
Yulong Lu
24
27
0
04 May 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
197
2,254
0
18 Oct 2020
MetNet: A Neural Weather Model for Precipitation Forecasting
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
204
242
0
24 Mar 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
118
364
0
10 Mar 2020
1