Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology

8 October 2023

Xiao Xiang Zhu

Papers citing "Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology"

27 / 27 papers shown

Title
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models P. Hess Markus Drüke S. Petri Felix M. Strnad Niklas Boers 28 59 0 03 Jan 2025
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation Shan Zhao Zhaiyu Chen Zhitong Xiong Yilei Shi Sudipan Saha Xiao Xiang Zhu AI4CE 41 2 0 05 Nov 2024
Physics-embedded Fourier Neural Network for Partial Differential Equations Qingsong Xu Nils Thuerey Yilei Shi Jonathan Bamber Chaojun Ouyang Xiao Xiang Zhu AI4CE 23 0 0 15 Jul 2024
A review of unsupervised learning in astronomy Sotiria Fotopoulou 32 8 0 25 Jun 2024
On the Foundations of Earth and Climate Foundation Models Xiao Xiang Zhu Zhitong Xiong Yi Wang Adam J. Stewart Konrad Heidler Yuanyuan Wang Zhenghang Yuan Thomas Dujardin Qingsong Xu Yilei Shi AI4Cl AI4CE 23 20 0 07 May 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects Anuj Karpatne X. Jia Vipin Kumar 32 9 0 24 Mar 2024
Large-scale flood modeling and forecasting with FloodCast Qingsong Xu Yilei Shi Jonathan Bamber Chaojun Ouyang Xiao Xiang Zhu AI4CE 33 12 0 18 Mar 2024
Domain Agnostic Fourier Neural Operators Ning Liu S. Jafarzadeh Yue Yu AI4CE 19 23 0 30 Apr 2023
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows Ivan Zanardi Simone Venturi M. Panesi AI4CE 52 12 0 27 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 33 48 0 04 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 213 1,277 0 02 Sep 2022
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries Zong-Yi Li Daniel Zhengyu Huang Burigede Liu Anima Anandkumar AI4CE 105 243 0 11 Jul 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions Masanobu Horie Naoto Mitsume PINN AI4CE 19 23 0 24 May 2022
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations Ramansh Sharma Varun Shankar 24 40 0 19 May 2022
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 98 351 0 05 Oct 2021
Scale-invariant Learning by Physics Inversion Philipp Holl V. Koltun Nils Thuerey PINN AI4CE 18 8 0 30 Sep 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 50 58 0 15 Sep 2021
Meta-learning PINN loss functions Apostolos F. Psaros Kenji Kawaguchi George Karniadakis PINN 25 96 0 12 Jul 2021
Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks M. Sit B. Demiray Ibrahim Demir 31 35 0 07 Jul 2021
The data synergy effects of time-series deep learning models in hydrology K. Fang Daniel Kifer K. Lawson D. Feng Chaopeng Shen AI4CE 61 76 0 06 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 222 2,404 0 04 Jan 2021
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 126 435 0 18 Dec 2020
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 161 3,799 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 197 2,254 0 18 Oct 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 170 616 0 13 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 198 7,816 0 13 Jun 2015