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2212.04689
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Non-equispaced Fourier Neural Solvers for PDEs
9 December 2022
Haitao Lin
Lirong Wu
Yongjie Xu
Yufei Huang
Siyuan Li
Guojiang Zhao
Z. Stan
Re-assign community
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Papers citing
"Non-equispaced Fourier Neural Solvers for PDEs"
39 / 39 papers shown
Title
Generating synthetic data for neural operators
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61
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18 Apr 2022
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83
481
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14 Feb 2022
Message Passing Neural PDE Solvers
Johannes Brandstetter
Daniel E. Worrall
Max Welling
AI4CE
88
287
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07 Feb 2022
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
John Guibas
Morteza Mardani
Zong-Yi Li
Andrew Tao
Anima Anandkumar
Bryan Catanzaro
84
243
0
24 Nov 2021
Neural Operator: Learning Maps Between Function Spaces
Nikola B. Kovachki
Zong-Yi Li
Burigede Liu
Kamyar Azizzadenesheli
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
117
453
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19 Aug 2021
Global Filter Networks for Image Classification
Yongming Rao
Wenliang Zhao
Zheng Zhu
Jiwen Lu
Jie Zhou
ViT
66
470
0
01 Jul 2021
Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines
Matthew A. Wright
Joseph E. Gonzalez
67
23
0
02 Jun 2021
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Ming-Hsuan Yang
ViT
324
651
0
21 May 2021
Towards Robust Vision Transformer
Xiaofeng Mao
Gege Qi
YueFeng Chen
Xiaodan Li
Ranjie Duan
Shaokai Ye
Yuan He
Hui Xue
ViT
64
194
0
17 May 2021
Are Convolutional Neural Networks or Transformers more like human vision?
Shikhar Tuli
Ishita Dasgupta
Erin Grant
Thomas Griffiths
ViT
FaML
56
185
0
15 May 2021
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
423
2,682
0
04 May 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin K. Wei
Huaxia Xia
Chunhua Shen
ViT
82
1,026
0
28 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
455
21,439
0
25 Mar 2021
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth
Yihe Dong
Jean-Baptiste Cordonnier
Andreas Loukas
132
386
0
05 Mar 2021
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting
Haitao Lin
Zhangyang Gao
Yongjie Xu
Lirong Wu
Ling Li
Stan. Z. Li
AI4TS
189
77
0
04 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
664
41,369
0
22 Oct 2020
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
500
2,444
0
18 Oct 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai
Lina Yao
Can Li
Xianzhi Wang
Can Wang
GNN
AI4TS
86
1,188
0
06 Jul 2020
Multipole Graph 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
216
392
0
16 Jun 2020
Learning continuous-time PDEs from sparse data with graph neural networks
V. Iakovlev
Markus Heinonen
Harri Lähdesmäki
AI4CE
81
70
0
16 Jun 2020
The Random Feature Model for Input-Output Maps between Banach Spaces
Nicholas H. Nelsen
Andrew M. Stuart
76
144
0
20 May 2020
Model Reduction and Neural Networks for Parametric PDEs
K. Bhattacharya
Bamdad Hosseini
Nikola B. Kovachki
Andrew M. Stuart
217
332
0
07 May 2020
EikoNet: Solving the Eikonal equation with Deep Neural Networks
Jonathan D. Smith
Kamyar Azizzadenesheli
Zachary E. Ross
42
132
0
25 Mar 2020
Neural Operator: Graph Kernel Network for Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
199
748
0
07 Mar 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu
Pengzhan Jin
George Karniadakis
248
2,150
0
08 Oct 2019
Latent ODEs for Irregularly-Sampled Time Series
Yulia Rubanova
Ricky T. Q. Chen
David Duvenaud
BDL
AI4TS
84
259
0
08 Jul 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability
Shaowu Pan
Karthik Duraisamy
68
138
0
09 Jun 2019
ODE
2
^2
2
VAE: Deep generative second order ODEs with Bayesian neural networks
Çağatay Yıldız
Markus Heinonen
Harri Lähdesmäki
BDL
DRL
68
88
0
27 May 2019
Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems
Leah Bar
N. Sochen
28
71
0
10 Apr 2019
Convolutional Self-Attention Networks
Baosong Yang
Longyue Wang
Derek F. Wong
Lidia S. Chao
Zhaopeng Tu
53
126
0
05 Apr 2019
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
417
5,111
0
19 Jun 2018
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems
E. Weinan
Ting Yu
121
1,387
0
30 Sep 2017
DGM: A deep learning algorithm for solving partial differential equations
Justin A. Sirignano
K. Spiliopoulos
AI4CE
91
2,063
0
24 Aug 2017
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
593
7,485
0
04 Apr 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
148
775
0
22 Dec 2016
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
413
10,494
0
21 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
353
7,669
0
30 Jun 2016
Diffusion-Convolutional Neural Networks
James Atwood
Don Towsley
GNN
DiffM
197
1,256
0
06 Nov 2015
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