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Fourier Neural Operator for Parametric Partial Differential Equations
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Fourier Neural Operator for Parametric Partial Differential Equations"

50 / 1,350 papers shown
Title
Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning
Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning
Jae Yong Lee
Yeoneung Kim
45
3
0
16 Jun 2024
A MgNO Method for Multiphase Flow in Porous Media
A MgNO Method for Multiphase Flow in Porous Media
Xinliang Liu
Xia Yang
Chen-Song Zhang
Lian Zhang
Li Zhao
AI4CE
100
1
0
16 Jun 2024
DeltaPhi: Learning Physical Trajectory Residual for PDE Solving
DeltaPhi: Learning Physical Trajectory Residual for PDE Solving
Xihang Yue
Linchao Zhu
Yi Yang
AI4CE
82
1
0
14 Jun 2024
Neural networks in non-metric spaces
Neural networks in non-metric spaces
Luca Galimberti
88
1
0
13 Jun 2024
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality
  Generation
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation
Lincan Cai
Shuang Li
Wenxuan Ma
Jingxuan Kang
Binhui Xie
Zixun Sun
Chengwei Zhu
MoEMoMe
87
1
0
13 Jun 2024
FouRA: Fourier Low Rank Adaptation
FouRA: Fourier Low Rank Adaptation
Shubhankar Borse
Shreya Kadambi
N. Pandey
Kartikeya Bhardwaj
Viswanath Ganapathy
Sweta Priyadarshi
Risheek Garrepalli
Rafael Esteves
Munawar Hayat
Fatih Porikli
66
8
0
13 Jun 2024
Strategies for Pretraining Neural Operators
Strategies for Pretraining Neural Operators
Anthony Zhou
Cooper Lorsung
AmirPouya Hemmasian
Amir Barati Farimani
AI4CE
94
6
0
12 Jun 2024
Invariant multiscale neural networks for data-scarce scientific
  applications
Invariant multiscale neural networks for data-scarce scientific applications
I. Schurov
D. Alforov
M. Katsnelson
A. Bagrov
A. Itin
AI4CE
101
0
0
12 Jun 2024
Continuum Attention for Neural Operators
Continuum Attention for Neural Operators
Edoardo Calvello
Nikola B. Kovachki
Matthew E. Levine
Andrew M. Stuart
95
11
0
10 Jun 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
David M. Knigge
David R. Wessels
Riccardo Valperga
Samuele Papa
Jan-Jakob Sonke
E. Gavves
Erik J. Bekkers
AI4CE
94
9
0
10 Jun 2024
Learning Physical Simulation with Message Passing Transformer
Learning Physical Simulation with Message Passing Transformer
Zeyi Xu
Yifei Li
AI4CE
81
1
0
10 Jun 2024
Flexible Multi-Dimensional FFTs for Plane Wave Density Functional Theory
  Codes
Flexible Multi-Dimensional FFTs for Plane Wave Density Functional Theory Codes
Doru-Thom Popovici
M. D. Ben
Osni Marques
Andrew Canning
57
0
0
08 Jun 2024
RandONet: Shallow-Networks with Random Projections for learning linear
  and nonlinear operators
RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators
Gianluca Fabiani
Ioannis G. Kevrekidis
Constantinos Siettos
A. Yannacopoulos
104
13
0
08 Jun 2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani
Marvin Pfortner
Tobias Weber
Philipp Hennig
UQCV
131
1
0
07 Jun 2024
Scaling up Probabilistic PDE Simulators with Structured Volumetric
  Information
Scaling up Probabilistic PDE Simulators with Structured Volumetric Information
Tim Weiland
Marvin Pfortner
Philipp Hennig
AI4CE
81
3
0
07 Jun 2024
Stochastic full waveform inversion with deep generative prior for
  uncertainty quantification
Stochastic full waveform inversion with deep generative prior for uncertainty quantification
Yuke Xie
Hervé Chauris
N. Desassis
64
3
0
07 Jun 2024
M2NO: Multiresolution Operator Learning with Multiwavelet-based
  Algebraic Multigrid Method
M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method
Zhihao Li
Zhilu Lai
Xiaobo Wang
Wei Wang
60
3
0
07 Jun 2024
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations
Vladislav Trifonov
Alexander Rudikov
Oleg Iliev
Ivan Oseledets
Ekaterina Muravleva
Ekaterina Muravleva
DiffMAI4CE
69
0
0
07 Jun 2024
Vectorized Conditional Neural Fields: A Framework for Solving
  Time-dependent Parametric Partial Differential Equations
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
Jan Hagnberger
Marimuthu Kalimuthu
Daniel Musekamp
Mathias Niepert
AI4TSAI4CE
98
5
0
06 Jun 2024
OceanCastNet: A Deep Learning Ocean Wave Model with Energy Conservation
OceanCastNet: A Deep Learning Ocean Wave Model with Energy Conservation
Ziliang Zhang
Huaming Yu
Danqin Ren
PINNAI4Cl
70
2
0
06 Jun 2024
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics
Jing Qiu
Jiancheng Huang
Xiangdong Zhang
Zeng Lin
Minglei Pan
Zengding Liu
F. Miao
AI4CE
88
3
0
06 Jun 2024
GFN: A graph feedforward network for resolution-invariant reduced
  operator learning in multifidelity applications
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications
Oisín M. Morrison
F. Pichi
J. Hesthaven
AI4CE
72
6
0
05 Jun 2024
EngineBench: Flow Reconstruction in the Transparent Combustion Chamber
  III Optical Engine
EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine
Samuel J. Baker
Michael A. Hobley
Isabel Scherl
Xiaohang Fang
Felix C. P. Leach
M. Davy
AI4CE
68
0
0
05 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous
Topological Neural Networks go Persistent, Equivariant, and Continuous
Yogesh Verma
Amauri H Souza
Vikas Garg
AI4CE
78
6
0
05 Jun 2024
A comprehensive and FAIR comparison between MLP and KAN representations
  for differential equations and operator networks
A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
K. Shukla
Juan Diego Toscano
Zhicheng Wang
Zongren Zou
George Karniadakis
133
87
0
05 Jun 2024
Solving Partial Differential Equations in Different Domains by Operator
  Learning method Based on Boundary Integral Equations
Solving Partial Differential Equations in Different Domains by Operator Learning method Based on Boundary Integral Equations
Bin Meng
Yutong Lu
Ying Jiang
65
0
0
04 Jun 2024
The Deep Latent Space Particle Filter for Real-Time Data Assimilation
  with Uncertainty Quantification
The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification
N. T. Mücke
Sander M. Bohté
C. Oosterlee
72
0
0
04 Jun 2024
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local
  Neural Fields
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
Louis Serrano
Thomas X. Wang
E. L. Naour
Jean-Noel Vittaut
Patrick Gallinari
84
6
0
04 Jun 2024
Learning the Hodgkin-Huxley Model with Operator Learning Techniques
Learning the Hodgkin-Huxley Model with Operator Learning Techniques
Edoardo Centofanti
Massimiliano Ghiotto
Luca Franco Pavarino
67
6
0
04 Jun 2024
Neural Green's Operators for Parametric Partial Differential Equations
Neural Green's Operators for Parametric Partial Differential Equations
Hugo Melchers
Joost Prins
Michael Abdelmalik
183
4
0
04 Jun 2024
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
Kun Chen
Tao Chen
Peng Ye
Hao Chen
Kang Chen
Tao Han
Wanli Ouyang
Lei Bai
82
6
0
03 Jun 2024
Reservoir History Matching of the Norne field with generative exotic
  priors and a coupled Mixture of Experts -- Physics Informed Neural Operator
  Forward Model
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward Model
C. Etienam
Juntao Yang
O. Ovcharenko
Issam Said
63
1
0
02 Jun 2024
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems
Karn Tiwari
N. M. A. Krishnan
P. PrathoshA
108
1
0
01 Jun 2024
Solving partial differential equations with sampled neural networks
Solving partial differential equations with sampled neural networks
Chinmay Datar
Taniya Kapoor
Abhishek Chandra
Qing Sun
Iryna Burak
Erik Lien Bolager
Anna Veselovska
Massimo Fornasier
Felix Dietrich
104
3
0
31 May 2024
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
Fernando Moreno-Pino
Alvaro Arroyo
H. Waldon
Xiaowen Dong
Álvaro Cartea
AI4TS
109
1
0
31 May 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Byoungwoo Park
Jungwon Choi
Sungbin Lim
Juho Lee
136
4
0
31 May 2024
Flexible SE(2) graph neural networks with applications to PDE surrogates
Flexible SE(2) graph neural networks with applications to PDE surrogates
Maria Bånkestad
Olof Mogren
Aleksis Pirinen
96
1
0
30 May 2024
Fourier Controller Networks for Real-Time Decision-Making in Embodied
  Learning
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
Hengkai Tan
Songming Liu
Kai Ma
Chengyang Ying
Xingxing Zhang
Hang Su
Jun Zhu
91
2
0
30 May 2024
MGCP: A Multi-Grained Correlation based Prediction Network for
  Multivariate Time Series
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series
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Xi Xiao
Ke-Li Xu
Zhong Zhang
Yu Rong
Qing Li
Guojun Gan
Zhiqiang Xu
Peilin Zhao
AI4TS
79
0
0
30 May 2024
Transformers as Neural Operators for Solutions of Differential Equations
  with Finite Regularity
Transformers as Neural Operators for Solutions of Differential Equations with Finite Regularity
Benjamin Shih
Ahmad Peyvan
Zhongqiang Zhang
George Karniadakis
AI4CE
94
12
0
29 May 2024
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs
  with applications in heterogeneous media
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media
Matthaios Chatzopoulos
P. Koutsourelakis
AI4CE
81
3
0
29 May 2024
Predicting Parking Availability in Singapore with Cross-Domain Data: A
  New Dataset and A Data-Driven Approach
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
Huaiwu Zhang
Yutong Xia
Siru Zhong
Kun Wang
Zekun Tong
Qingsong Wen
Roger Zimmermann
Yuxuan Liang
51
0
0
29 May 2024
Efficient Prior Calibration From Indirect Data
Efficient Prior Calibration From Indirect Data
O. Deniz Akyildiz
Mark Girolami
Andrew M. Stuart
Arnaud Vadeboncoeur
100
2
0
28 May 2024
Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers
Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers
Zhou Hang
Yuezhou Ma
Haixu Wu
Haowen Wang
Mingsheng Long
AI4CE
76
11
0
27 May 2024
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates
Y. Poels
Koen Minartz
Harshit Bansal
Vlado Menkovski
AI4CE
80
1
0
27 May 2024
BeamVQ: Aligning Space-Time Forecasting Model via Self-training on
  Physics-aware Metrics
BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics
Hao Wu
Xingjian Shi
Ziyue Huang
Penghao Zhao
Wei Xiong
Jinbao Xue
Yangyu Tao
Xiaomeng Huang
Weiyan Wang
AI4TS
106
2
0
27 May 2024
Reference Neural Operators: Learning the Smooth Dependence of Solutions
  of PDEs on Geometric Deformations
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
Ze Cheng
Zhongkai Hao
Xiaoqiang Wang
Jianing Huang
Youjia Wu
Xudan Liu
Yiru Zhao
Songming Liu
Hang Su
AI4CE
66
4
0
27 May 2024
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
Shuhao Cao
Francesco Brarda
Ruipeng Li
Yuanzhe Xi
107
0
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Time-SSM: Simplifying and Unifying State Space Models for Time Series
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Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
Jiaxi Hu
Disen Lan
Ziyu Zhou
Qingsong Wen
Yuxuan Liang
AI4TS
102
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FUSE: Fast Unified Simulation and Estimation for PDEs
FUSE: Fast Unified Simulation and Estimation for PDEs
Levi E. Lingsch
Dana Grund
Siddhartha Mishra
Georgios Kissas
AI4CE
95
2
0
23 May 2024
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