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EikoNet: Solving the Eikonal equation with Deep Neural Networks
v1v2v3 (latest)

EikoNet: Solving the Eikonal equation with Deep Neural Networks

IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020
25 March 2020
Jonathan D. Smith
Kamyar Azizzadenesheli
Zachary E. Ross
ArXiv (abs)PDFHTML

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

50 / 50 papers shown
HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution
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Wenyang Liu
Wenbin Zou
Yuejiao Su
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Yi Wang
296
5
0
08 Oct 2025
Online Hierarchical Policy Learning using Physics Priors for Robot Navigation in Unknown Environments
Online Hierarchical Policy Learning using Physics Priors for Robot Navigation in Unknown Environments
Wei Han Chen
Yuchen Liu
Alexiy Buynitsky
A. H. Qureshi
150
0
0
01 Oct 2025
Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
Vittorio Giammarino
Ruiqi Ni
A. H. Qureshi
OffRLAI4CE
271
2
0
08 Sep 2025
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
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
305
1
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21 May 2025
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter ExplorationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2025
Yi-Tang Chen
Haoyu Li
Neng Shi
Xihaier Luo
Wei Xu
Han-Wei Shen
663
5
0
01 Apr 2025
PIED: Physics-Informed Experimental Design for Inverse Problems
PIED: Physics-Informed Experimental Design for Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2025
Apivich Hemachandra
Gregory Kang Ruey Lau
Szu Hui Ng
Bryan Kian Hsiang Low
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430
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10 Mar 2025
Data-augmented Learning of Geodesic Distances in Irregular Domains through Soner Boundary Conditions
Data-augmented Learning of Geodesic Distances in Irregular Domains through Soner Boundary Conditions
Rafael I. Cabral Muchacho
Florian T. Pokorny
285
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06 Mar 2025
Double Difference Earthquake Location with Graph Neural Networks
Double Difference Earthquake Location with Graph Neural Networks
I. McBrearty
G. Beroza
212
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25 Oct 2024
Scientific Machine Learning Seismology
Scientific Machine Learning SeismologyZisin (Journal of the Seismological Society of Japan 2nd ser ) (Zisin), 2024
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472
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27 Sep 2024
Task Offloading in Fog Computing with Deep Reinforcement Learning:
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Task Offloading in Fog Computing with Deep Reinforcement Learning: Future Research Directions Based on Security and Efficiency Enhancements
Amir Pakmehr
134
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26 Jul 2024
The Extrapolation Power of Implicit Models
The Extrapolation Power of Implicit Models
Juliette Decugis
Alicia Y. Tsai
Max Emerling
Ashwin Ganesh
L. Ghaoui
244
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19 Jul 2024
Deep Neural Operator Enabled Digital Twin Modeling for Additive
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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
286
33
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13 May 2024
Physics-informed Neural Motion Planning on Constraint Manifolds
Physics-informed Neural Motion Planning on Constraint ManifoldsIEEE International Conference on Robotics and Automation (ICRA), 2024
Ruiqi Ni
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PINN
249
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Improving Efficiency of Iso-Surface Extraction on Implicit Neural
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Improving Efficiency of Iso-Surface Extraction on Implicit Neural Representations Using Uncertainty Propagation
Haoyu Li
Han-Wei Shen
214
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Machine learning and domain decomposition methods -- a survey
Machine learning and domain decomposition methods -- a survey
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M. Lanser
J. Weber
AI4CE
252
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21 Dec 2023
GIT-Net: Generalized Integral Transform for Operator Learning
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Chao Wang
Alexandre H. Thiery
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264
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Neural Operators for Accelerating Scientific Simulations and Design
Neural Operators for Accelerating Scientific Simulations and DesignNature Reviews Physics (Nat. Rev. Phys.), 2023
Kamyar Azzizadenesheli
Nikola B. Kovachki
Zong-Yi Li
Miguel Liu-Schiaffini
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816
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High-Rate Phase Association with Travel Time Neural Fields
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Maarten V. de Hoop
Ivan Dokmanić
294
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Progressive Learning for Physics-informed Neural Motion Planning
Progressive Learning for Physics-informed Neural Motion Planning
Ruiqi Ni
A. H. Qureshi
390
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PINNslope: seismic data interpolation and local slope estimation with
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PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks
F. Brandolin
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250
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Physics-informed neural network for seismic wave inversion in layered
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Physics-informed neural network for seismic wave inversion in layered semi-infinite domain
Pu Ren
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PINN
262
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A Neural PDE Solver with Temporal Stencil Modeling
A Neural PDE Solver with Temporal Stencil ModelingInternational Conference on Machine Learning (ICML), 2023
Zhiqing Sun
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Shinjae Yoo
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307
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Guiding continuous operator learning through Physics-based boundary
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Guiding continuous operator learning through Physics-based boundary constraintsInternational Conference on Learning Representations (ICLR), 2022
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AI4CE
328
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Non-equispaced Fourier Neural Solvers for PDEs
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NLP Inspired Training Mechanics For Modeling Transient Dynamics
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217
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SeismicNet: Physics-informed neural networks for seismic wave modeling
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Learning Relaxation for Multigrid
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A Physics-Guided Neural Operator Learning Approach to Model Biological
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324
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Emulating Quantum Dynamics with Neural Networks via Knowledge
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Learning Deep Implicit Fourier Neural Operators (IFNOs) with
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Physics Informed RNN-DCT Networks for Time-Dependent Partial
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