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Neural Operator: Learning Maps Between Function Spaces

Neural Operator: Learning Maps Between Function Spaces

19 August 2021
Nikola B. Kovachki
Zong-Yi Li
Burigede Liu
Kamyar Azizzadenesheli
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
    AI4CE
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Papers citing "Neural Operator: Learning Maps Between Function Spaces"

50 / 283 papers shown
Title
Attention on the Sphere
Attention on the Sphere
Boris Bonev
Max Rietmann
Andrea Paris
Alberto Carpentieri
Thorsten Kurth
17
0
0
16 May 2025
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
Abdolmehdi Behroozi
Chaopeng Shen and
Daniel Kifer
AI4CE
25
0
0
13 May 2025
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
Fauzan Nazranda Rizqan
Matthew Hole
Charles Gretton
43
0
0
29 Apr 2025
Uncertainty propagation in feed-forward neural network models
Uncertainty propagation in feed-forward neural network models
Jeremy Diamzon
Daniele Venturi
60
0
0
27 Mar 2025
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations
Hamidreza Eivazi
Jendrik-Alexander Tröger
Stefan H. A. Wittek
Stefan Hartmann
Andreas Rausch
AI4CE
43
0
0
27 Mar 2025
Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator
Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator
Iman Peivaste
Ahmed Makradi
Salim Belouettar
AI4CE
34
0
0
18 Mar 2025
FLASHμ: Fast Localizing And Sizing of Holographic Microparticles
Ayush Paliwal
Oliver Schlenczek
Birte Thiede
Manuel Santos Pereira
Katja Stieger
Eberhard Bodenschatz
Gholamhossein Bagheri
Alexander Ecker
52
0
0
14 Mar 2025
Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
Bharat Srikishan
Daniel O'Malley
Mohamed Mehana
Nicholas Lubbers
Nikhil Muralidhar
AI4CE
47
0
0
13 Mar 2025
Probability-Flow ODE in Infinite-Dimensional Function Spaces
Kunwoo Na
Junghyun Lee
Se-Young Yun
Sungbin Lim
47
0
0
13 Mar 2025
Symbolic Neural Ordinary Differential Equations
Xin Li
Chengli Zhao
Xue Zhang
Xiaojun Duan
37
0
0
11 Mar 2025
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks
Anas Jnini
Lorenzo Breschi
Flavio Vella
AI4CE
49
0
0
02 Mar 2025
Finite Element Operator Network for Solving Elliptic-type parametric PDEs
Finite Element Operator Network for Solving Elliptic-type parametric PDEs
Jae Yong Lee
Seungchan Ko
Youngjoon Hong
105
5
0
20 Feb 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Jie Chen
AI4CE
59
2
0
28 Jan 2025
NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
Zihao Xu
Yuzhi Tang
Bowen Xu
Qingquan Li
DiffM
62
0
0
20 Jan 2025
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition
Robert Joseph George
David Pitt
Jiawei Zhao
Jean Kossaifi
Cheng Luo
Yuandong Tian
Anima Anandkumar
35
1
0
04 Jan 2025
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
Sumanth Kumar Boya
Deepak Subramani
AI4CE
94
0
0
12 Dec 2024
Advancing Generalization in PINNs through Latent-Space Representations
Advancing Generalization in PINNs through Latent-Space Representations
Honghui Wang
Yifan Pu
Shiji Song
Gao Huang
AI4CE
PINN
69
0
0
28 Nov 2024
How Analysis Can Teach Us the Optimal Way to Design Neural Operators
How Analysis Can Teach Us the Optimal Way to Design Neural Operators
Vu-Anh Le
Mehmet Dik
36
0
0
04 Nov 2024
A Mathematical Analysis of Neural Operator Behaviors
A Mathematical Analysis of Neural Operator Behaviors
Vu-Anh Le
Mehmet Dik
AI4CE
22
1
0
28 Oct 2024
On conditional diffusion models for PDE simulations
On conditional diffusion models for PDE simulations
Aliaksandra Shysheya
Cristiana-Diana Diaconu
Federico Bergamin
P. Perdikaris
José Miguel Hernández-Lobato
Richard E. Turner
Emile Mathieu
DiffM
23
5
0
21 Oct 2024
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Paula Cordero-Encinar
Tobias Schröder
P. Yatsyshin
Andrew Duncan
45
0
0
15 Oct 2024
Score Neural Operator: A Generative Model for Learning and Generalizing
  Across Multiple Probability Distributions
Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions
Xinyu Liao
Aoyang Qin
Jacob H. Seidman
Junqi Wang
Wei Wang
P. Perdikaris
DiffM
23
0
0
11 Oct 2024
Identification of Mean-Field Dynamics using Transformers
Identification of Mean-Field Dynamics using Transformers
Shiba Biswal
Karthik Elamvazhuthi
Rishi Sonthalia
AI4CE
27
1
0
06 Oct 2024
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
Armeet Singh Jatyani
Jiayun Wang
Zihui Wu
Miguel Liu-Schiaffini
Bahareh Tolooshams
Anima Anandkumar
Anima Anandkumar
29
1
0
05 Oct 2024
Physics-Informed Geometry-Aware Neural Operator
Physics-Informed Geometry-Aware Neural Operator
Weiheng Zhong
Hadi Meidani
AI4CE
40
4
0
02 Aug 2024
Physics-embedded Fourier Neural Network for Partial Differential
  Equations
Physics-embedded Fourier Neural Network for Partial Differential Equations
Qingsong Xu
Nils Thuerey
Yilei Shi
Jonathan Bamber
Chaojun Ouyang
Xiao Xiang Zhu
AI4CE
29
0
0
15 Jul 2024
Weak baselines and reporting biases lead to overoptimism in machine
  learning for fluid-related partial differential equations
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
N. McGreivy
Ammar Hakim
AI4CE
34
43
0
09 Jul 2024
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource
Wengyi Zhan
Mingbao Lin
Chia-Wen Lin
Rongrong Ji
52
2
0
05 Jul 2024
Self-supervised Pretraining for Partial Differential Equations
Self-supervised Pretraining for Partial Differential Equations
Varun Madhavan
Amal S Sebastian
Bharath Ramsundar
Venkatasubramanian Viswanathan
AI4CE
33
0
0
03 Jul 2024
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient,
  Geometrically-flexible Operator Learning
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning
Matthew Lowery
John Turnage
Zachary Morrow
J. Jakeman
Akil Narayan
Shandian Zhe
Varun Shankar
41
1
0
30 Jun 2024
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier
  Neural Operator with U-Net Backbone
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone
Christophe Bonneville
N. Bieberdorf
Arun Hegde
Mark Asta
H. Najm
Laurent Capolungo
C. Safta
AI4CE
36
2
0
24 Jun 2024
Learning the boundary-to-domain mapping using Lifting Product Fourier
  Neural Operators for partial differential equations
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations
Aditya Kashi
Arka Daw
Muralikrishnan Gopalakrishnan Meena
Hao Lu
AI4CE
34
2
0
24 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
34
1
0
14 Jun 2024
Neural networks in non-metric spaces
Neural networks in non-metric spaces
Luca Galimberti
48
1
0
13 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
J. Sonke
E. Gavves
Erik J. Bekkers
AI4CE
36
4
0
10 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
AI4TS
AI4CE
47
5
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
32
3
0
06 Jun 2024
MLIP: Efficient Multi-Perspective Language-Image Pretraining with
  Exhaustive Data Utilization
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
Yu Zhang
Qi Zhang
Zixuan Gong
Yiwei Shi
Yepeng Liu
...
Ke Liu
Kun Yi
Wei Fan
Liang Hu
Changwei Wang
CLIP
VLM
61
3
0
03 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
26
0
0
01 Jun 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
39
3
0
29 May 2024
Learning Flame Evolution Operator under Hybrid Darrieus Landau and
  Diffusive Thermal Instability
Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability
Rixin Yu
Erdzan Hodzic
Karl-johan Nogenmyr
AI4CE
23
1
0
11 May 2024
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
R. Mattey
Susanta Ghosh
AI4CE
43
1
0
09 May 2024
Understanding the Difficulty of Solving Cauchy Problems with PINNs
Understanding the Difficulty of Solving Cauchy Problems with PINNs
Tao Wang
Bo-Lu Zhao
Sicun Gao
Rose Yu
41
1
0
04 May 2024
BiLO: Bilevel Local Operator Learning for PDE inverse problems
BiLO: Bilevel Local Operator Learning for PDE inverse problems
Ray Zirui Zhang
Xiaohui Xie
John S. Lowengrub
68
1
0
27 Apr 2024
Neural Operators Learn the Local Physics of Magnetohydrodynamics
Neural Operators Learn the Local Physics of Magnetohydrodynamics
Taeyoung Kim
Youngsoo Ha
Myungjoo Kang
AI4CE
29
0
0
24 Apr 2024
Learning S-Matrix Phases with Neural Operators
Learning S-Matrix Phases with Neural Operators
V. Niarchos
C. Papageorgakis
19
3
0
22 Apr 2024
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE
  Solver
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
Shaocong Ma
James Diffenderfer
B. Kailkhura
Yi Zhou
AI4CE
40
0
0
17 Apr 2024
Geometric Neural Operators (GNPs) for Data-Driven Deep Learning of
  Non-Euclidean Operators
Geometric Neural Operators (GNPs) for Data-Driven Deep Learning of Non-Euclidean Operators
Blaine Quackenbush
P. Atzberger
AI4CE
33
0
0
16 Apr 2024
Toward a Better Understanding of Fourier Neural Operators: Analysis and
  Improvement from a Spectral Perspective
Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective
Shaoxiang Qin
Fuyuan Lyu
Wenhui Peng
Dingyang Geng
Ju Wang
Naiping Gao
Xue Liu
L. Wang
AI4CE
34
0
0
10 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Gavin Kerrigan
Giosue Migliorini
Padhraic Smyth
OT
38
10
0
05 Apr 2024
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