When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning

31 March 2022

Papers citing "When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning"

44 / 44 papers shown

Title
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers Rui Zhang Liang Li Stéphane Lanteri Hao Kang Jiaqi Li 29 0 0 14 Apr 2025
Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset Yonas Tefera Quinten Van Baelen Maarten Meire Stijn Luca P. Karsmakers 53 0 0 12 Mar 2025
Deep Muscle EMG construction using A Physics-Integrated Deep Learning approach Rajnish Kumar Tapas Tripura Souvik Chakraborty Sitikantha Roy 37 0 0 07 Mar 2025
PINNs for Medical Image Analysis: A Survey C. Banerjee Kien Nguyen Olivier Salvado Truyen Tran Clinton Fookes AI4CE 29 1 0 02 Aug 2024
SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction Seungyeon Choi Sangmin Seo Sanghyun Park 27 0 0 10 Jul 2024
PAPM: A Physics-aware Proxy Model for Process Systems Pengwei Liu Zhongkai Hao Xingyu Ren Hangjie Yuan Jiayang Ren Dong Ni AI4CE PINN 40 0 0 07 Jul 2024
Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers Mehdi Shishehbor Shirin Hosseinmardi Ramin Bostanabad AI4CE 32 5 0 22 Mar 2024
Reasoning-Enhanced Object-Centric Learning for Videos Jian Li Pu Ren Yang Liu Hao-Lun Sun OCL LRM 38 2 0 22 Mar 2024
Bayesian Differentiable Physics for Cloth Digitalization Deshan Gong Ningtao Mao He-Nan Wang AI4CE 26 0 0 27 Feb 2024
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs Yusuke Tanaka Takaharu Yaguchi Tomoharu Iwata N. Ueda AI4CE 29 0 0 14 Feb 2024
Interpretable Neural PDE Solvers using Symbolic Frameworks Yolanne Yi Ran Lee AI4CE 26 0 0 31 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 45 55 0 10 Oct 2023
On Training Derivative-Constrained Neural Networks KaiChieh Lo Daniel Huang 16 3 0 02 Oct 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems C. Banerjee Kien Nguyen Clinton Fookes M. Raissi PINN AI4CE 16 5 0 05 Sep 2023
Bayesian Reasoning for Physics Informed Neural Networks K. Graczyk Kornel Witkowski 22 0 0 25 Aug 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 10 8 0 05 Aug 2023
Learning the solution operator of two-dimensional incompressible Navier-Stokes equations using physics-aware convolutional neural networks Viktor Grimm Alexander Heinlein A. Klawonn AI4CE 19 4 0 04 Aug 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 30 27 0 29 May 2023
KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks Hemanth Manjunatha A. Pak Dimitar Filev Panagiotis Tsiotras 25 5 0 24 May 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 33 4 0 06 Apr 2023
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations Xiongye Xiao De-An Cao Ruochen Yang Gaurav Gupta Gengshuo Liu Chenzhong Yin R. Balan P. Bogdan 66 9 0 04 Mar 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 24 28 0 03 Mar 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Y. Liu CML 24 2 0 19 Feb 2023
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios Zhongzhan Huang Mingfu Liang Liang Lin Liang Lin 20 5 0 05 Feb 2023
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 21 87 0 15 Nov 2022
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media Yizhou Zhang Defu Cao Y. Liu CML 11 23 0 14 Oct 2022
Certified machine learning: Rigorous a posteriori error bounds for PDE defined PINNs Birgit Hillebrecht B. Unger PINN 11 5 0 07 Oct 2022
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space Steeven Janny Fabien Baradel Natalia Neverova M. Nadri Greg Mori Christian Wolf CML 33 15 0 01 Feb 2022
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies Milan Kuzmanovic Tobias Hatt Stefan Feuerriegel CML 42 21 0 06 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 167 3,855 0 14 Dec 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 203 2,272 0 18 Oct 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 182 140 0 01 May 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 89 127 0 11 Mar 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 422 0 10 Mar 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 78 287 0 03 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 113 873 0 03 Feb 2017
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,398 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,347 0 25 Aug 2014
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,244 0 16 Jan 2013