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Fourier Neural Operator for Parametric Partial Differential Equations

Fourier Neural Operator for Parametric Partial Differential Equations

18 October 2020
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
    AI4CE
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Papers citing "Fourier Neural Operator for Parametric Partial Differential Equations"

50 / 1,297 papers shown
Title
DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term
  Memory Neural Networks
DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks
Katarzyna Michalowska
S. Goswami
George Karniadakis
S. Riemer-Sørensen
AI4TS
42
1
0
03 Oct 2023
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear
  System Instances
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
M. Khodak
Edmond Chow
Maria-Florina Balcan
Ameet Talwalkar
53
0
0
03 Oct 2023
CoNO: Complex Neural Operator for Continuous Dynamical Systems
CoNO: Complex Neural Operator for Continuous Dynamical Systems
Karn Tiwari
N. M. A. Krishnan
P. PrathoshA
30
1
0
03 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group
  Convolution
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
49
10
0
03 Oct 2023
Score-based Data Assimilation for a Two-Layer Quasi-Geostrophic Model
Score-based Data Assimilation for a Two-Layer Quasi-Geostrophic Model
François Rozet
Gilles Louppe
15
5
0
03 Oct 2023
CoDBench: A Critical Evaluation of Data-driven Models for Continuous
  Dynamical Systems
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems
Priyanshu Burark
Prathosh A P Karn Tiwari
Meer Mehran
Rashid
Anoop Krishnan
AI4CE
21
3
0
02 Oct 2023
OceanNet: A principled neural operator-based digital twin for regional
  oceans
OceanNet: A principled neural operator-based digital twin for regional oceans
Ashesh Chattopadhyay
Michael Gray
Tianning Wu
Anna B. Lowe
Ruoying He
AI4Cl
30
13
0
01 Oct 2023
Spectral Neural Networks: Approximation Theory and Optimization
  Landscape
Spectral Neural Networks: Approximation Theory and Optimization Landscape
Chenghui Li
Rishi Sonthalia
Nicolas García Trillos
37
1
0
01 Oct 2023
GNRK: Graph Neural Runge-Kutta method for solving partial differential
  equations
GNRK: Graph Neural Runge-Kutta method for solving partial differential equations
Hoyun Choi
Sungyeop Lee
B. Kahng
Junghyo Jo
AI4CE
39
1
0
01 Oct 2023
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Jean Kossaifi
Nikola B. Kovachki
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
42
33
0
29 Sep 2023
Graph-based Neural Weather Prediction for Limited Area Modeling
Graph-based Neural Weather Prediction for Limited Area Modeling
Leo Feng
Tomas Landelius
Yoshua Bengio
AI4CE
33
11
0
29 Sep 2023
Neural Lithography: Close the Design-to-Manufacturing Gap in
  Computational Optics with a 'Real2Sim' Learned Photolithography Simulator
Neural Lithography: Close the Design-to-Manufacturing Gap in Computational Optics with a 'Real2Sim' Learned Photolithography Simulator
Emily Black
Guangyuan Zhao
Daniel E. Ho
AI4CE
18
1
0
29 Sep 2023
Multi-Resolution Active Learning of Fourier Neural Operators
Multi-Resolution Active Learning of Fourier Neural Operators
Shibo Li
Xin Yu
Wei W. Xing
Mike Kirby
Akil Narayan
Shandian Zhe
AI4CE
35
4
0
29 Sep 2023
PROSE: Predicting Operators and Symbolic Expressions using Multimodal
  Transformers
PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers
Yuxuan Liu
Zecheng Zhang
Hayden Schaeffer
29
18
0
28 Sep 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Stefania Costantini
Gianluca Galletti
Fabian Fritz
Stefan Adami
Nikolaus A. Adams
40
13
0
28 Sep 2023
High Throughput Training of Deep Surrogates from Large Ensemble Runs
High Throughput Training of Deep Surrogates from Large Ensemble Runs
Lucas Meyer
M. Schouler
R. Caulk
Alejandro Ribés
Bruno Raffin
AI4CE
27
5
0
28 Sep 2023
A Spectral Approach for Learning Spatiotemporal Neural Differential
  Equations
A Spectral Approach for Learning Spatiotemporal Neural Differential Equations
Mingtao Xia
Xiangting Li
Qijing Shen
Tom Chou
19
0
0
28 Sep 2023
Deep Learning in Deterministic Computational Mechanics
Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
43
0
0
27 Sep 2023
Neural Operators for Accelerating Scientific Simulations and Design
Neural Operators for Accelerating Scientific Simulations and Design
Kamyar Azzizadenesheli
Nikola B. Kovachki
Zong-Yi Li
Miguel Liu-Schiaffini
Jean Kossaifi
Anima Anandkumar
AI4CE
41
128
0
27 Sep 2023
A Fourier Neural Operator Approach for Modelling Exciton-Polariton Condensate Systems
A Fourier Neural Operator Approach for Modelling Exciton-Polariton Condensate Systems
S. T. Sathujoda
Yuan Wang
Krzysztof Sawicki
Kanishk Gandhi
Angelica I Aviles-Rivero
Pavlos G. Lagoudakis
27
0
0
27 Sep 2023
Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping
  Points
Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points
Gianluca Fabiani
N. Evangelou
Tianqi Cui
J. M. Bello-Rivas
Cristina P. Martin-Linares
Constantinos Siettos
Ioannis G. Kevrekidis
38
2
0
25 Sep 2023
DPA-WNO: A gray box model for a class of stochastic mechanics problem
DPA-WNO: A gray box model for a class of stochastic mechanics problem
Tushar
Souvik Chakraborty
DiffM
26
3
0
24 Sep 2023
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric
  Super-Resolution with BLASTNet 2.0 Data
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
Wai Tong Chung
Bassem Akoush
Pushan Sharma
Alex Tamkin
Kihoon Jung
...
D. Brouzet
M. Talei
B. Savard
A. Poludnenko
M. Ihme
AI4CE
38
13
0
23 Sep 2023
AI Foundation Models for Weather and Climate: Applications, Design, and
  Implementation
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
S. K. Mukkavilli
Daniel Salles Civitarese
J. Schmude
Johannes Jakubik
Anne Jones
...
R. Ganti
Hendrik Hamann
U. Nair
Rahul Ramachandran
Kommy Weldemariam
AI4Cl
AI4CE
32
18
0
19 Sep 2023
Training neural mapping schemes for satellite altimetry with simulation
  data
Training neural mapping schemes for satellite altimetry with simulation data
Q. Febvre
Julien Le Sommer
C. Ubelmann
Ronan Fablet
11
9
0
19 Sep 2023
Latent assimilation with implicit neural representations for unknown
  dynamics
Latent assimilation with implicit neural representations for unknown dynamics
Zhuoyuan Li
Bin Dong
Pingwen Zhang
AI4CE
24
3
0
18 Sep 2023
Energy stable neural network for gradient flow equations
Energy stable neural network for gradient flow equations
Gang-Han Fan
Tianyu Jin
Yuan Lan
Yang Xiang
Luchan Zhang
41
0
0
17 Sep 2023
Trajectory Prediction for Robot Navigation using Flow-Guided Markov
  Neural Operator
Trajectory Prediction for Robot Navigation using Flow-Guided Markov Neural Operator
Rashmi Bhaskara
Hrishikesh Viswanath
Aniket Bera
34
5
0
17 Sep 2023
CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid
  Dynamics
CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics
Yining Luo
Yingfa Chen
Zhen Zhang
AI4CE
25
9
0
13 Sep 2023
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on
  Biosignals
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
Ran Liu
Ellen L. Zippi
Hadi Pouransari
Chris Sandino
Jingping Nie
Hanlin Goh
Erdrin Azemi
Ali Moin
44
12
0
12 Sep 2023
Interpretable learning of effective dynamics for multiscale systems
Interpretable learning of effective dynamics for multiscale systems
Emmanuel Menier
Sebastian Kaltenbach
Mouadh Yagoubi
Marc Schoenauer
Petros Koumoutsakos
AI4CE
36
6
0
11 Sep 2023
Advancing Parsimonious Deep Learning Weather Prediction using the
  HEALPix Mesh
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh
Matthias Karlbauer
Nathaniel Cresswell-Clay
Dale Durran
Raul A Moreno
Thorsten Kurth
Boris Bonev
Noah D. Brenowitz
Martin Volker Butz
MDE
28
20
0
11 Sep 2023
Online Infinite-Dimensional Regression: Learning Linear Operators
Online Infinite-Dimensional Regression: Learning Linear Operators
Vinod Raman
Unique Subedi
Ambuj Tewari
29
0
0
08 Sep 2023
Broadband Ground Motion Synthesis via Generative Adversarial Neural
  Operators: Development and Validation
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
Yaozhong Shi
Grigorios Lavrentiadis
D. Asimaki
Zachary E. Ross
Kamyar Azizzadenesheli
23
19
0
07 Sep 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open
  Problems
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
C. Banerjee
Kien Nguyen
Clinton Fookes
M. Raissi
PINN
AI4CE
33
9
0
05 Sep 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent
  Flow Simulation
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
Georg Kohl
Li-Wei Chen
Nils Thuerey
AI4CE
DiffM
42
22
0
04 Sep 2023
On the training and generalization of deep operator networks
On the training and generalization of deep operator networks
Sanghyun Lee
Yeonjong Shin
16
19
0
02 Sep 2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zong-Yi Li
Nikola B. Kovachki
Chris Choy
Boyi Li
Jean Kossaifi
...
M. A. Nabian
Maximilian Stadler
Christian Hundt
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
36
135
0
01 Sep 2023
Scattering with Neural Operators
Scattering with Neural Operators
Sebastian Mizera
AI4CE
29
9
0
28 Aug 2023
SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space
  Reconstruction
SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction
Zelin Peng
Zhengqin Xu
Zhilin Zeng
Xiaokang Yang
Wei-Ming Shen
40
20
0
28 Aug 2023
Breaking Boundaries: Distributed Domain Decomposition with Scalable
  Physics-Informed Neural PDE Solvers
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers
Arthur Feeney
Zitong Li
Ramin Bostanabad
Aparna Chandramowlishwaran
AI4CE
18
1
0
28 Aug 2023
Learning Only On Boundaries: a Physics-Informed Neural operator for
  Solving Parametric Partial Differential Equations in Complex Geometries
Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries
Z. Fang
Sizhuang He
P. Perdikaris
AI4CE
22
11
0
24 Aug 2023
Evaluation of Deep Neural Operator Models toward Ocean Forecasting
Evaluation of Deep Neural Operator Models toward Ocean Forecasting
Ellery Rajagopal
Anantha N.S. Babu
Tony Ryu
P. Haley
C. Mirabito
Pierre FJ Lermusiaux
AI4Cl
AI4CE
22
1
0
22 Aug 2023
Deep Learning of Delay-Compensated Backstepping for Reaction-Diffusion
  PDEs
Deep Learning of Delay-Compensated Backstepping for Reaction-Diffusion PDEs
Shanshan Wang
M. Diagne
Miroslav Krstić
30
9
0
21 Aug 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine
  Learning Techniques in Water Resources
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
J. Willard
C. Varadharajan
X. Jia
Vipin Kumar
AI4TS
25
3
0
18 Aug 2023
Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model
  with Operator Learning
Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning
M. Yaseen
D. Yushu
P. German
Xunfeng Wu
AI4CE
25
1
0
18 Aug 2023
Solving PDEs on Spheres with Physics-Informed Convolutional Neural
  Networks
Solving PDEs on Spheres with Physics-Informed Convolutional Neural Networks
Guanhang Lei
Zhen Lei
Lei Shi
Chenyu Zeng
Ding-Xuan Zhou
38
4
0
18 Aug 2023
How important are specialized transforms in Neural Operators?
How important are specialized transforms in Neural Operators?
Ritam Majumdar
Shirish S. Karande
L. Vig
AI4CE
19
3
0
18 Aug 2023
HyperLoRA for PDEs
HyperLoRA for PDEs
Ritam Majumdar
Vishal Sudam Jadhav
A. Deodhar
Shirish S. Karande
L. Vig
Venkataramana Runkana
PINN
AI4CE
14
1
0
18 Aug 2023
A hybrid Decoder-DeepONet operator regression framework for unaligned
  observation data
A hybrid Decoder-DeepONet operator regression framework for unaligned observation data
Bo Chen
Chenyu Wang
Weipeng Li
Haiyang Fu
36
9
0
18 Aug 2023
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