Learning differentiable solvers for systems with hard constraints

18 July 2022

Papers citing "Learning differentiable solvers for systems with hard constraints"

26 / 26 papers shown

Title
Enabling Automatic Differentiation with Mollified Graph Neural Operators Ryan Y. Lin Julius Berner Valentin Duruisseaux David Pitt Daniel Leibovici Jean Kossaifi Kamyar Azizzadenesheli Anima Anandkumar AI4CE 43 0 0 11 Apr 2025
Adaptive Physics-informed Neural Networks: A Survey Edgar Torres Jonathan Schiefer Mathias Niepert PINN AI4CE 65 0 0 23 Mar 2025
HoP: Homeomorphic Polar Learning for Hard Constrained Optimization Ke Deng Hanwen Zhang Jin Lu Haijian Sun 70 0 0 01 Feb 2025
Projected Neural Differential Equations for Learning Constrained Dynamics Alistair J R White Anna Buttner Maximilian Gelbrecht Valentin Duruisseaux Niki Kilbertus Frank Hellmann Niklas Boers 41 0 0 31 Oct 2024
Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks Anthony Baez Wang Zhang Ziwen Ma Subhro Das Lam M. Nguyen Luca Daniel PINN 24 1 0 22 Oct 2024
AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics Neil Ashton Danielle C. Maddix Samuel Gundry Parisa M. Shabestari AI4CE 38 2 0 30 Jul 2024
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling Pu Ren R. Nakata Maxime Lacour Ilan Naiman Nori Nakata ... Osman Asif Malik Dmitriy Morozov Omri Azencot N. Benjamin Erichson Michael W. Mahoney AI4CE 32 8 0 21 Jul 2024
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs S. C. Mouli Danielle C. Maddix S. Alizadeh Gaurav Gupta Andrew Stuart Michael W. Mahoney Yuyang Wang UQCV AI4CE 45 2 0 15 Mar 2024
Scaling physics-informed hard constraints with mixture-of-experts N. Chalapathi Yiheng Du Aditi Krishnapriyan AI4CE 37 12 0 20 Feb 2024
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws Ning Liu Yiming Fan Xianyi Zeng Milan Klöwer Lu Zhang Yue Yu AI4CE 24 8 0 18 Dec 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 24 4 0 30 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
Exact and soft boundary conditions in Physics-Informed Neural Networks for the Variable Coefficient Poisson equation Sebastian Barschkis 26 1 0 04 Oct 2023
Deep Learning for Optimization of Trajectories for Quadrotors Yuwei Wu Xiatao Sun Igor Spasojevic Vijay R. Kumar 28 8 0 26 Sep 2023
A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints A. Konstantinov Lev V. Utkin 24 10 0 19 Jul 2023
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning Pu Ren N. Benjamin Erichson Shashank Subramanian Omer San Z. Lukić Michael W. Mahoney Michael W. Mahoney 41 13 0 24 Jun 2023
Neural Fields with Hard Constraints of Arbitrary Differential Order Fangcheng Zhong Kyle Fogarty Param Hanji Tianhao Wu Alejandro Sztrajman Andrew Spielberg Andrea Tagliasacchi Petra Bosilj Cengiz Öztireli AI4CE 17 5 0 15 Jun 2023
CONFIDE: Contextual Finite Differences Modelling of PDEs Ori Linial Orly Avner Dotan Di Castro 41 0 0 28 Mar 2023
Learning Physical Models that Can Respect Conservation Laws Derek Hansen Danielle C. Maddix S. Alizadeh Gaurav Gupta Michael W. Mahoney AI4CE 34 42 0 21 Feb 2023
Neural DAEs: Constrained neural networks Tue Boesen E. Haber Uri M. Ascher 36 3 0 25 Nov 2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting Zhihan Gao Xingjian Shi Hao Wang Yi Zhu Yuyang Wang Mu Li Dit-Yan Yeung AI4TS 39 149 0 12 Jul 2022
Learning continuous models for continuous physics Aditi S. Krishnapriyan A. Queiruga N. Benjamin Erichson Michael W. Mahoney AI4CE 24 33 0 17 Feb 2022
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 494 0 09 Feb 2021
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 223 2,287 0 18 Oct 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016