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Clifford Neural Layers for PDE Modeling

Clifford Neural Layers for PDE Modeling

8 September 2022
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
    AI4CE
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Papers citing "Clifford Neural Layers for PDE Modeling"

50 / 93 papers shown
Title
Active Learning for Neural PDE Solvers
Active Learning for Neural PDE Solvers
Daniel Musekamp
Marimuthu Kalimuthu
David Holzmüller
Makoto Takamoto
Carlos Fernandez
AI4CE
108
7
0
02 Aug 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Benedikt Alkin
Andreas Fürst
Simon Schmid
Lukas Gruber
Markus Holzleitner
Johannes Brandstetter
PINN
AI4CE
171
12
0
19 Feb 2024
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
Jan-Philipp von Bassewitz
Sebastian Kaltenbach
Petros Koumoutsakos
AI4CE
86
2
0
01 Feb 2024
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Philipp Reiser
Javier Enrique Aguilar
A. Guthke
Paul-Christian Bürkner
98
2
0
08 Dec 2023
e3nn: Euclidean Neural Networks
e3nn: Euclidean Neural Networks
Mario Geiger
Tess E. Smidt
66
179
0
18 Jul 2022
Fourier Neural Operator with Learned Deformations for PDEs on General
  Geometries
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
AI4CE
155
264
0
11 Jul 2022
Learning the Solution Operator of Boundary Value Problems using Graph
  Neural Networks
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks
Winfried Lotzsch
Simon Ohler
Johannes Otterbach
AI4CE
51
19
0
28 Jun 2022
LordNet: An Efficient Neural Network for Learning to Solve Parametric
  Partial Differential Equations without Simulated Data
LordNet: An Efficient Neural Network for Learning to Solve Parametric Partial Differential Equations without Simulated Data
Xinquan Huang
Wenlei Shi
Xiaotian Gao
Xinran Wei
Jia Zhang
Jiang Bian
Mao Yang
Tie-Yan Liu
PINN
46
11
0
19 Jun 2022
Learning to Accelerate Partial Differential Equations via Latent Global
  Evolution
Learning to Accelerate Partial Differential Equations via Latent Global Evolution
Tailin Wu
Takashi Maruyama
J. Leskovec
AI4CE
41
31
0
15 Jun 2022
Transformer for Partial Differential Equations' Operator Learning
Transformer for Partial Differential Equations' Operator Learning
Zijie Li
Kazem Meidani
A. Farimani
85
159
0
26 May 2022
Generative Adversarial Neural Operators
Generative Adversarial Neural Operators
Md Ashiqur Rahman
Manuel A. Florez
Anima Anandkumar
Zachary E. Ross
Kamyar Azizzadenesheli
GAN
52
38
0
06 May 2022
U-NO: U-shaped Neural Operators
U-NO: U-shaped Neural Operators
Md Ashiqur Rahman
Zachary E. Ross
Kamyar Azizzadenesheli
AI4CE
95
141
0
23 Apr 2022
Learning the Dynamics of Physical Systems from Sparse Observations with
  Finite Element Networks
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen
Stephan Günnemann
AI4TS
37
37
0
16 Mar 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using
  Adaptive Fourier Neural Operators
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak
Shashank Subramanian
P. Harrington
S. Raja
Ashesh Chattopadhyay
...
Zong-Yi Li
Kamyar Azizzadenesheli
Pedram Hassanzadeh
K. Kashinath
Anima Anandkumar
AI4Cl
210
687
0
22 Feb 2022
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
Lie Point Symmetry Data Augmentation for Neural PDE Solvers
Johannes Brandstetter
Max Welling
Daniel E. Worrall
AI4CE
54
63
0
15 Feb 2022
Forecasting Global Weather with Graph Neural Networks
Forecasting Global Weather with Graph Neural Networks
R. Keisler
AI4Cl
96
170
0
15 Feb 2022
Message Passing Neural PDE Solvers
Message Passing Neural PDE Solvers
Johannes Brandstetter
Daniel E. Worrall
Max Welling
AI4CE
60
280
0
07 Feb 2022
Learning Operators with Coupled Attention
Learning Operators with Coupled Attention
Georgios Kissas
Jacob H. Seidman
Leonardo Ferreira Guilhoto
V. Preciado
George J. Pappas
P. Perdikaris
61
113
0
04 Jan 2022
Learned Coarse Models for Efficient Turbulence Simulation
Learned Coarse Models for Efficient Turbulence Simulation
Kimberly L. Stachenfeld
D. Fielding
Dmitrii Kochkov
M. Cranmer
Tobias Pfaff
Jonathan Godwin
Can Cui
S. Ho
Peter W. Battaglia
Alvaro Sanchez-Gonzalez
AI4CE
65
80
0
31 Dec 2021
Adaptive Fourier Neural Operators: Efficient Token Mixers for
  Transformers
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
John Guibas
Morteza Mardani
Zong-Yi Li
Andrew Tao
Anima Anandkumar
Bryan Catanzaro
60
237
0
24 Nov 2021
Neural Fields in Visual Computing and Beyond
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Shunsuke Saito
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
3DH
155
628
0
22 Nov 2021
Residual fourier neural operator for thermochemical curing of composites
Residual fourier neural operator for thermochemical curing of composites
Gengxiang Chen
Yingguang Li
Xu Liu
Qinglu Meng
Jing Zhou
Xiaozhong Hao
AI4CE
119
7
0
15 Nov 2021
Physics-enhanced deep surrogates for partial differential equations
Physics-enhanced deep surrogates for partial differential equations
R. Pestourie
Youssef Mroueh
Chris Rackauckas
Payel Das
Steven G. Johnson
PINN
AI4CE
42
15
0
10 Nov 2021
Solving PDE-constrained Control Problems Using Operator Learning
Solving PDE-constrained Control Problems Using Operator Learning
Rakhoon Hwang
Jae Yong Lee
J. Shin
H. Hwang
AI4CE
130
44
0
09 Nov 2021
Physics-Informed Neural Operator for Learning Partial Differential
  Equations
Physics-Informed Neural Operator for Learning Partial Differential Equations
Zong-Yi Li
Hongkai Zheng
Nikola B. Kovachki
David Jin
Haoxuan Chen
Burigede Liu
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
94
410
0
06 Nov 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message
  Passing
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Johannes Brandstetter
Rob D. Hesselink
Elise van der Pol
Erik J. Bekkers
Max Welling
80
241
0
06 Oct 2021
Geometric Algebra Attention Networks for Small Point Clouds
Geometric Algebra Attention Networks for Small Point Clouds
Matthew Spellings
3DPC
61
12
0
05 Oct 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed
  Hermite-Spline CNNs
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs
Nils Wandel
Michael Weinmann
Michael Neidlin
Reinhard Klein
AI4CE
73
62
0
15 Sep 2021
A trainable monogenic ConvNet layer robust in front of large contrast
  changes in image classification
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification
Eduardo Ulises Moya-Sánchez
S. Xambó-Descamps
Abraham Sánchez Pérez
Sebastián Salazar-Colores
Ulises Cortés
37
6
0
14 Sep 2021
U-FNO -- An enhanced Fourier neural operator-based deep-learning model
  for multiphase flow
U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow
Gege Wen
Zong-Yi Li
Kamyar Azizzadenesheli
Anima Anandkumar
S. Benson
AI4CE
71
383
0
03 Sep 2021
Fourier Neural Operator Networks: A Fast and General Solver for the
  Photoacoustic Wave Equation
Fourier Neural Operator Networks: A Fast and General Solver for the Photoacoustic Wave Equation
Steven Guan
Ko-Tsung Hsu
P. Chitnis
41
27
0
20 Aug 2021
Seismic wave propagation and inversion with Neural Operators
Seismic wave propagation and inversion with Neural Operators
Yan Yang
Angela F. Gao
J. Castellanos
Zachary E. Ross
Kamyar Azizzadenesheli
R. Clayton
39
72
0
11 Aug 2021
Global Filter Networks for Image Classification
Global Filter Networks for Image Classification
Yongming Rao
Wenliang Zhao
Zheng Zhu
Jiwen Lu
Jie Zhou
ViT
63
463
0
01 Jul 2021
Boundary Graph Neural Networks for 3D Simulations
Boundary Graph Neural Networks for 3D Simulations
Andreas Mayr
Sebastian Lehner
A. Mayrhofer
C. Kloss
Sepp Hochreiter
Johannes Brandstetter
AI4CE
49
33
0
21 Jun 2021
Steerable Partial Differential Operators for Equivariant Neural Networks
Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner
Maurice Weiler
40
29
0
18 Jun 2021
Choose a Transformer: Fourier or Galerkin
Choose a Transformer: Fourier or Galerkin
Shuhao Cao
60
241
0
31 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
333
1,147
0
27 Apr 2021
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport
T. Praditia
Matthias Karlbauer
S. Otte
S. Oladyshkin
Martin Volker Butz
Wolfgang Nowak
AI4CE
37
18
0
13 Apr 2021
Learning the solution operator of parametric partial differential
  equations with physics-informed DeepOnets
Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
Sizhuang He
Hanwen Wang
P. Perdikaris
AI4CE
77
697
0
19 Mar 2021
Variational Data Assimilation with a Learned Inverse Observation
  Operator
Variational Data Assimilation with a Learned Inverse Observation Operator
Thomas Frerix
Dmitrii Kochkov
Jamie A. Smith
Daniel Cremers
M. Brenner
Stephan Hoyer
51
30
0
22 Feb 2021
A Survey of Complex-Valued Neural Networks
A Survey of Complex-Valued Neural Networks
J. Bassey
Lijun Qian
Xianfang Li
57
123
0
28 Jan 2021
Machine learning accelerated computational fluid dynamics
Machine learning accelerated computational fluid dynamics
Dmitrii Kochkov
Jamie A. Smith
Ayya Alieva
Qing Wang
M. Brenner
Stephan Hoyer
AI4CE
98
859
0
28 Jan 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
474
2,384
0
18 Oct 2020
Learning Mesh-Based Simulation with Graph Networks
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff
Meire Fortunato
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
AI4CE
77
779
0
07 Oct 2020
Quaternion Graph Neural Networks
Quaternion Graph Neural Networks
Dai Quoc Nguyen
T. Nguyen
Dinh Q. Phung
GNN
48
32
0
12 Aug 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact
  with Iterative PDE-Solvers
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um
R. Brand
Yun Fei
Fei
Philipp Holl
N. Thürey
AI4CE
52
269
0
30 Jun 2020
Embed Me If You Can: A Geometric Perceptron
Embed Me If You Can: A Geometric Perceptron
Pavlo Melnyk
Michael Felsberg
Mårten Wadenbäck
3DPC
26
15
0
11 Jun 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
287
276
0
24 Mar 2020
Improving data-driven global weather prediction using deep convolutional
  neural networks on a cubed sphere
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere
Jonathan A. Weyn
Dale Durran
R. Caruana
AI4Cl
41
262
0
15 Mar 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
167
434
0
10 Mar 2020
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