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Seismic wave propagation and inversion with Neural Operators
v1v2 (latest)

Seismic wave propagation and inversion with Neural Operators

11 August 2021
Yan Yang
Angela F. Gao
J. Castellanos
Zachary E. Ross
Kamyar Azizzadenesheli
R. Clayton
ArXiv (abs)PDFHTML

Papers citing "Seismic wave propagation and inversion with Neural Operators"

34 / 34 papers shown
Title
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
Julius Berner
Miguel Liu-Schiaffini
Jean Kossaifi
Valentin Duruisseaux
Boris Bonev
Kamyar Azizzadenesheli
A. Anandkumar
AI4CE
127
0
0
12 Jun 2025
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
Jiachen Yao
Abbas Mammadov
Julius Berner
Gavin Kerrigan
Jong Chul Ye
Kamyar Azizzadenesheli
A. Anandkumar
DiffM
94
3
0
22 May 2025
Stochastic Process Learning via Operator Flow Matching
Stochastic Process Learning via Operator Flow Matching
Yaozhong Shi
Zachary E. Ross
D. Asimaki
Kamyar Azizzadenesheli
166
3
0
10 Jan 2025
Generalizable Motion Planning via Operator Learning
Generalizable Motion Planning via Operator Learning
Sharath Matada
Luke Bhan
Yuanyuan Shi
Nikolay Atanasov
140
0
0
23 Oct 2024
Scientific Machine Learning Seismology
Scientific Machine Learning Seismology
Tomohisa Okazaki
PINNAI4CE
163
0
0
27 Sep 2024
Component Fourier Neural Operator for Singularly Perturbed Differential
  Equations
Component Fourier Neural Operator for Singularly Perturbed Differential Equations
Ye Li
Ting Du
Yiwen Pang
Zhongyi Huang
91
1
0
07 Sep 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
125
2
0
27 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
Lei Wang
AI4CE
68
3
0
10 Apr 2024
Universal Functional Regression with Neural Operator Flows
Universal Functional Regression with Neural Operator Flows
Yaozhong Shi
Angela F. Gao
Zachary E. Ross
Kamyar Azizzadenesheli
104
5
0
03 Apr 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics
Equivariant Graph Neural Operator for Modeling 3D Dynamics
Minkai Xu
Jiaqi Han
Aaron Lou
Jean Kossaifi
Arvind Ramanathan
Kamyar Azizzadenesheli
J. Leskovec
Stefano Ermon
A. Anandkumar
AI4CE
135
23
0
19 Jan 2024
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
100
36
0
29 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
155
159
0
27 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
50
11
0
07 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
125
152
0
01 Sep 2023
A Critical Review of Physics-Informed Machine Learning Applications in
  Subsurface Energy Systems
A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems
Abdeldjalil Latrach
M. L. Malki
Misael Morales
Mohamed Mehana
M. Rabiei
PINNAI4CE
70
36
0
06 Aug 2023
Towards Foundation Models for Scientific Machine Learning:
  Characterizing Scaling and Transfer Behavior
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior
Shashank Subramanian
P. Harrington
Kurt Keutzer
W. Bhimji
Dmitriy Morozov
Michael W. Mahoney
A. Gholami
AI4CE
126
80
0
01 Jun 2023
Machine learning for phase-resolved reconstruction of nonlinear ocean
  wave surface elevations from sparse remote sensing data
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data
Svenja Ehlers
Marco Klein
Alexander Heinlein
Mathies Wedler
Nicolas Desmars
Norbert Hoffmann
M. Stender
AI4Cl
68
3
0
18 May 2023
LatentPINNs: Generative physics-informed neural networks via a latent
  representation learning
LatentPINNs: Generative physics-informed neural networks via a latent representation learning
M. H. Taufik
T. Alkhalifah
AI4CEDiffM
75
4
0
11 May 2023
Physics-informed neural network for seismic wave inversion in layered
  semi-infinite domain
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain
Pu Ren
Chengping Rao
Haoqin Sun
Yang Liu
PINN
76
5
0
09 May 2023
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves
  Propagation
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
F. Lehmann
F. Gatti
M. Bertin
Didier Clouteau
AI4CE
75
28
0
20 Apr 2023
Score-based Diffusion Models in Function Space
Score-based Diffusion Models in Function Space
Jae Hyun Lim
Nikola B. Kovachki
Ricardo Baptista
Christopher Beckham
Kamyar Azizzadenesheli
...
Karsten Kreis
Jan Kautz
Christopher Pal
Arash Vahdat
Anima Anandkumar
DiffM
193
50
0
14 Feb 2023
Neural Operator: Is data all you need to model the world? An insight
  into the impact of Physics Informed Machine Learning
Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning
Hrishikesh Viswanath
Md Ashiqur Rahman
Abhijeet Vyas
Andrey Shor
Beatriz Medeiros
Stephanie Hernandez
S. Prameela
Aniket Bera
PINNAI4CE
92
6
0
30 Jan 2023
Out-of-distributional risk bounds for neural operators with applications
  to the Helmholtz equation
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation
Jose Antonio Lara Benitez
Takashi Furuya
F. Faucher
Anastasis Kratsios
X. Tricoche
Maarten V. de Hoop
134
19
0
27 Jan 2023
PaCMO: Partner Dependent Human Motion Generation in Dyadic Human
  Activity using Neural Operators
PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators
Md Ashiqur Rahman
Jasorsi Ghosh
Hrishikesh Viswanath
Kamyar Azizzadenesheli
Aniket Bera
57
8
0
25 Nov 2022
Fast Sampling of Diffusion Models via Operator Learning
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng
Weili Nie
Arash Vahdat
Kamyar Azizzadenesheli
Anima Anandkumar
DiffM
133
152
0
24 Nov 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey
Partial Differential Equations Meet Deep Neural Networks: A Survey
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CEAIMat
77
21
0
27 Oct 2022
SeismicNet: Physics-informed neural networks for seismic wave modeling
  in semi-infinite domain
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain
Pu Ren
Chengping Rao
Su Chen
Jian-Xun Wang
Hao Sun
Yang Liu
122
44
0
25 Oct 2022
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
137
136
0
30 Sep 2022
Solving Seismic Wave Equations on Variable Velocity Models with Fourier
  Neural Operator
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator
Bian Li
Hanchen Wang
Shihang Feng
Xiu Yang
Youzuo Lin
121
36
0
25 Sep 2022
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
127
90
0
08 Sep 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
177
279
0
11 Jul 2022
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
Learning to Solve PDE-constrained Inverse Problems with Graph Networks
Qingqing Zhao
David B. Lindell
Gordon Wetzstein
AI4CE
108
42
0
01 Jun 2022
Generative Adversarial Neural Operators
Generative Adversarial Neural Operators
Md Ashiqur Rahman
Manuel A. Florez
Anima Anandkumar
Zachary E. Ross
Kamyar Azizzadenesheli
GAN
102
41
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
125
146
0
23 Apr 2022
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