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EikoNet: Solving the Eikonal equation with Deep Neural Networks

25 March 2020

Jonathan D. Smith

Kamyar Azizzadenesheli

Zachary E. Ross

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Papers citing "EikoNet: Solving the Eikonal equation with Deep Neural Networks"

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Title
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces Alejandro García-Castellanos David R. Wessels Nicky van den Berg R. Duits Daniël M. Pelt Erik J. Bekkers 48 0 0 21 May 2025
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration Yi-Tang Chen Haoyu Li Neng Shi Xihaier Luo Wei Xu Han-Wei Shen 159 1 0 01 Apr 2025
PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra Gregory Kang Ruey Lau Szu Hui Ng Bryan Kian Hsiang Low PINN 108 0 0 10 Mar 2025
Data-augmented Learning of Geodesic Distances in Irregular Domains through Soner Boundary Conditions Rafael I. Cabral Muchacho Florian T. Pokorny 72 0 0 06 Mar 2025
Double Difference Earthquake Location with Graph Neural Networks I. McBrearty G. Beroza 27 0 0 25 Oct 2024
Scientific Machine Learning Seismology Tomohisa Okazaki PINN AI4CE 161 0 0 27 Sep 2024
Task Offloading in Fog Computing with Deep Reinforcement Learning: Future Research Directions Based on Security and Efficiency Enhancements Amir Pakmehr 25 1 0 26 Jul 2024
The Extrapolation Power of Implicit Models Juliette Decugis Alicia Y. Tsai Max Emerling Ashwin Ganesh L. Ghaoui 67 0 0 19 Jul 2024
Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing Ning Liu Xuxiao Li M. Rajanna E. Reutzel Brady A Sawyer Prahalada Rao Jim Lua Nam Phan Yue Yu AI4CE 85 10 0 13 May 2024
Physics-informed Neural Motion Planning on Constraint Manifolds Ruiqi Ni A. H. Qureshi PINN 88 5 0 09 Mar 2024
Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation Haoyu Li Han-Wei Shen 65 4 0 21 Feb 2024
Machine learning and domain decomposition methods -- a survey A. Klawonn M. Lanser J. Weber AI4CE 57 9 0 21 Dec 2023
GIT-Net: Generalized Integral Transform for Operator Learning Chao Wang Alexandre H. Thiery AI4CE 58 0 0 05 Dec 2023
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
High-Rate Phase Association with Travel Time Neural Fields Chengzhi Shi Maarten V. de Hoop Ivan Dokmanić 73 1 0 14 Jul 2023
Progressive Learning for Physics-informed Neural Motion Planning Ruiqi Ni A. H. Qureshi 105 12 0 01 Jun 2023
PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks F. Brandolin M. Ravasi T. Alkhalifah 84 9 0 25 May 2023
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
A Neural PDE Solver with Temporal Stencil Modeling Zhiqing Sun Yiming Yang Shinjae Yoo DiffM AI4CE 98 17 0 16 Feb 2023
Guiding continuous operator learning through Physics-based boundary constraints Nadim Saad Gaurav Gupta S. Alizadeh Danielle C. Maddix AI4CE 127 22 0 14 Dec 2022
Non-equispaced Fourier Neural Solvers for PDEs Haitao Lin Lirong Wu Yongjie Xu Yufei Huang Siyuan Li Guojiang Zhao Z. Stan 76 8 0 09 Dec 2022
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks Junwoo Cho Seungtae Nam Hyunmo Yang S. Yun Youngjoon Hong Eunbyung Park PINN AI4CE 53 8 0 16 Nov 2022
NLP Inspired Training Mechanics For Modeling Transient Dynamics Lalit Ghule Rishikesh Ranade Jay Pathak AI4CE 60 2 0 04 Nov 2022
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
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning Ruiqi Ni A. H. Qureshi AI4CE 81 19 0 30 Sep 2022
Learning Relaxation for Multigrid Dmitry Kuznichov AI4CE 46 1 0 25 Jul 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network Haitao Lin Guojiang Zhao Lirong Wu Stan Z. Li AI4TS AI4CE 70 1 0 18 Apr 2022
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements Huaiqian You Quinn Zhang Colton J. Ross Chung-Hao Lee M. Hsu Yue Yu AI4CE 103 22 0 01 Apr 2022
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation Yu Yao C. Cao S. Haas Mahak Agarwal Divya Khanna M. Abram 139 4 0 19 Mar 2022
Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling Huaiqian You Quinn Zhang Colton J. Ross Chung-Hao Lee Yue Yu AI4CE 102 107 0 15 Mar 2022
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations Benwei Wu O. Hennigh Jan Kautz S. Choudhry Wonmin Byeon MLAU AI4CE 57 13 0 24 Feb 2022
State-of-the-Art Review of Design of Experiments for Physics-Informed Deep Learning Sourav Das S. Tesfamariam PINN AI4CE 79 20 0 13 Feb 2022
$Eikonal Fields for Refractive Novel-View Synthesis$ Eikonal Fields for Refractive Novel-View Synthesis Mojtaba Bemana K. Myszkowski J. Frisvad Hans-Peter Seidel Tobias Ritschel EgoV 107 40 0 02 Feb 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next S. Cuomo Vincenzo Schiano Di Cola F. Giampaolo G. Rozza Maizar Raissi F. Piccialli PINN 136 1,299 0 14 Jan 2022
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network Huaiqian You Yue Yu M. DÉlia T. Gao Stewart Silling 102 74 0 06 Jan 2022
Deep Decomposition for Stochastic Normal-Abnormal Transport Peirong Liu Yueh Z. Lee S. Aylward Marc Niethammer DiffM MedIm 46 5 0 29 Nov 2021
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 230 637 0 22 Nov 2021
Neural Operator: Learning Maps Between Function Spaces Nikola B. Kovachki Zong-Yi Li Burigede Liu Kamyar Azizzadenesheli K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 170 453 0 19 Aug 2021
Seismic wave propagation and inversion with Neural Operators Yan Yang Angela F. Gao J. Castellanos Zachary E. Ross Kamyar Azizzadenesheli R. Clayton 66 74 0 11 Aug 2021
A Framework for Machine Learning of Model Error in Dynamical Systems Matthew E. Levine Andrew M. Stuart 111 69 0 14 Jul 2021
Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism Davide Piras A. Mancini Ana M. G. Ferreira B. Joachimi Michael P. Hobson 47 5 0 12 Jan 2021
HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks Jonathan D. Smith Zachary E. Ross Kamyar Azizzadenesheli J. Muir 64 39 0 09 Jan 2021
Discovering Hidden Physics Behind Transport Dynamics Peirong Liu Lin Tian Yubo Zhang S. Aylward Yueh Z. Lee Marc Niethammer DiffM MedIm 32 8 0 24 Nov 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 556 2,465 0 18 Oct 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 230 395 0 16 Jun 2020
Model Reduction and Neural Networks for Parametric PDEs K. Bhattacharya Bamdad Hosseini Nikola B. Kovachki Andrew M. Stuart 248 334 0 07 May 2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 255 141 0 01 May 2020