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2108.08481
Cited By
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
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Max Rietmann
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Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
Abdolmehdi Behroozi
Chaopeng Shen and
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13 May 2025
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
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Charles Gretton
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29 Apr 2025
Uncertainty propagation in feed-forward neural network models
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Daniele Venturi
60
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27 Mar 2025
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations
Hamidreza Eivazi
Jendrik-Alexander Tröger
Stefan H. A. Wittek
Stefan Hartmann
Andreas Rausch
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43
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27 Mar 2025
Teaching Artificial Intelligence to Perform Rapid, Resolution-Invariant Grain Growth Modeling via Fourier Neural Operator
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FLASHμ: Fast Localizing And Sizing of Holographic Microparticles
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Oliver Schlenczek
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Manuel Santos Pereira
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52
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14 Mar 2025
Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
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Daniel O'Malley
Mohamed Mehana
Nicholas Lubbers
Nikhil Muralidhar
AI4CE
47
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13 Mar 2025
Probability-Flow ODE in Infinite-Dimensional Function Spaces
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Junghyun Lee
Se-Young Yun
Sungbin Lim
47
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13 Mar 2025
Symbolic Neural Ordinary Differential Equations
Xin Li
Chengli Zhao
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Xiaojun Duan
37
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11 Mar 2025
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks
Anas Jnini
Lorenzo Breschi
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49
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02 Mar 2025
Finite Element Operator Network for Solving Elliptic-type parametric PDEs
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105
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20 Feb 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
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AI4CE
59
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28 Jan 2025
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Zihao Xu
Yuzhi Tang
Bowen Xu
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20 Jan 2025
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition
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David Pitt
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Jean Kossaifi
Cheng Luo
Yuandong Tian
Anima Anandkumar
35
1
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04 Jan 2025
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
Sumanth Kumar Boya
Deepak Subramani
AI4CE
94
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12 Dec 2024
Advancing Generalization in PINNs through Latent-Space Representations
Honghui Wang
Yifan Pu
Shiji Song
Gao Huang
AI4CE
PINN
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28 Nov 2024
How Analysis Can Teach Us the Optimal Way to Design Neural Operators
Vu-Anh Le
Mehmet Dik
36
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A Mathematical Analysis of Neural Operator Behaviors
Vu-Anh Le
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22
1
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28 Oct 2024
On conditional diffusion models for PDE simulations
Aliaksandra Shysheya
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José Miguel Hernández-Lobato
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Deep Optimal Sensor Placement for Black Box Stochastic Simulations
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Tobias Schröder
P. Yatsyshin
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45
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15 Oct 2024
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Xinyu Liao
Aoyang Qin
Jacob H. Seidman
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P. Perdikaris
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23
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Identification of Mean-Field Dynamics using Transformers
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Rishi Sonthalia
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A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
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29
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05 Oct 2024
Physics-Informed Geometry-Aware Neural Operator
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Hadi Meidani
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Physics-embedded Fourier Neural Network for Partial Differential Equations
Qingsong Xu
Nils Thuerey
Yilei Shi
Jonathan Bamber
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15 Jul 2024
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
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AI4CE
34
43
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09 Jul 2024
AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource
Wengyi Zhan
Mingbao Lin
Chia-Wen Lin
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52
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05 Jul 2024
Self-supervised Pretraining for Partial Differential Equations
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Amal S Sebastian
Bharath Ramsundar
Venkatasubramanian Viswanathan
AI4CE
33
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03 Jul 2024
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning
Matthew Lowery
John Turnage
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Akil Narayan
Shandian Zhe
Varun Shankar
41
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30 Jun 2024
Accelerating Phase Field Simulations Through a Hybrid Adaptive Fourier Neural Operator with U-Net Backbone
Christophe Bonneville
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24 Jun 2024
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations
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Hao Lu
AI4CE
34
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24 Jun 2024
DeltaPhi: Learning Physical Trajectory Residual for PDE Solving
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34
1
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14 Jun 2024
Neural networks in non-metric spaces
Luca Galimberti
48
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13 Jun 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
David M. Knigge
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Riccardo Valperga
Samuele Papa
J. Sonke
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Erik J. Bekkers
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36
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10 Jun 2024
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
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Daniel Musekamp
Mathias Niepert
AI4TS
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47
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06 Jun 2024
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics
Jing Qiu
Jiancheng Huang
Xiangdong Zhang
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Minglei Pan
Zengding Liu
F. Miao
AI4CE
32
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MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
Yu Zhang
Qi Zhang
Zixuan Gong
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...
Ke Liu
Kun Yi
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Changwei Wang
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61
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CoNO: Complex Neural Operator for Continous Dynamical Physical Systems
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N. M. A. Krishnan
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26
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Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media
Matthaios Chatzopoulos
P. Koutsourelakis
AI4CE
39
3
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Learning Flame Evolution Operator under Hybrid Darrieus Landau and Diffusive Thermal Instability
Rixin Yu
Erdzan Hodzic
Karl-johan Nogenmyr
AI4CE
23
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Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
R. Mattey
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43
1
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Understanding the Difficulty of Solving Cauchy Problems with PINNs
Tao Wang
Bo-Lu Zhao
Sicun Gao
Rose Yu
41
1
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04 May 2024
BiLO: Bilevel Local Operator Learning for PDE inverse problems
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Xiaohui Xie
John S. Lowengrub
68
1
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27 Apr 2024
Neural Operators Learn the Local Physics of Magnetohydrodynamics
Taeyoung Kim
Youngsoo Ha
Myungjoo Kang
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29
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Learning S-Matrix Phases with Neural Operators
V. Niarchos
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19
3
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End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver
Shaocong Ma
James Diffenderfer
B. Kailkhura
Yi Zhou
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40
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Geometric Neural Operators (GNPs) for Data-Driven Deep Learning of Non-Euclidean Operators
Blaine Quackenbush
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33
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Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective
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Fuyuan Lyu
Wenhui Peng
Dingyang Geng
Ju Wang
Naiping Gao
Xue Liu
L. Wang
AI4CE
34
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10 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows
Gavin Kerrigan
Giosue Migliorini
Padhraic Smyth
OT
38
10
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05 Apr 2024
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