Learning to Control PDEs with Differentiable Physics

International Conference on Learning Representations (ICLR), 2020

21 January 2020

Papers citing "Learning to Control PDEs with Differentiable Physics"

50 / 124 papers shown

Title
Learning Functional TransductionNeural Information Processing Systems (NeurIPS), 2023 Mathieu Chalvidal Thomas Serre Rufin VanRullen AI4CE 258 4 0 01 Feb 2023
Solving Inverse Physics Problems with Score MatchingNeural Information Processing Systems (NeurIPS), 2023 Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 103 14 0 24 Jan 2023
Exploring Physical Latent Spaces for High-Resolution Flow RestorationInternational Symposium on Vision, Modeling, and Visualization (VMV), 2022 Chloé Paliard Nils Thuerey Kiwon Um AI4CE 192 1 0 21 Nov 2022
Learning Modular Simulations for Homogeneous SystemsNeural Information Processing Systems (NeurIPS), 2022 Jayesh K. Gupta Sai H. Vemprala Ashish Kapoor 113 10 0 28 Oct 2022
Differentiable Analog Quantum Computing for Optimization and ControlNeural Information Processing Systems (NeurIPS), 2022 Jiaqi Leng Yuxiang Peng Yi-Ling Qiao Ming-Chyuan Lin Xiaodi Wu 117 21 0 28 Oct 2022
Neuro-symbolic partial differential equation solver Pouria A. Mistani Samira Pakravan Rajesh Ilango S. Choudhry Frédéric Gibou 107 1 0 25 Oct 2022
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuitiesJournal of Computational Physics (JCP), 2022 Pouria A. Mistani Samira Pakravan Rajesh Ilango Frédéric Gibou 173 12 0 25 Oct 2022
DaXBench: Benchmarking Deformable Object Manipulation with Differentiable PhysicsInternational Conference on Learning Representations (ICLR), 2022 Siwei Chen Yiqing Xu Cunjun Yu Linfeng Li Xiao Ma Zhongwen Xu David Hsu AI4CE 142 23 0 24 Oct 2022
NeuPhysics: Editable Neural Geometry and Physics from Monocular VideosNeural Information Processing Systems (NeurIPS), 2022 Yi-Ling Qiao Alexander Gao Ming-Chyuan Lin 3DH 163 47 0 22 Oct 2022
FINDE: Neural Differential Equations for Finding and Preserving Invariant QuantitiesInternational Conference on Learning Representations (ICLR), 2022 Takashi Matsubara Takaharu Yaguchi PINN 134 10 0 01 Oct 2022
Training Efficient Controllers via Analytic Policy GradientIEEE International Conference on Robotics and Automation (ICRA), 2022 Nina Wiedemann Valentin Wüest Antonio Loquercio M. Müller Dario Floreano Davide Scaramuzza OffRL 167 23 0 26 Sep 2022
Liquid Structural State-Space ModelsInternational Conference on Learning Representations (ICLR), 2022 Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 241 137 0 26 Sep 2022
Differentiable Programming for Earth System ModelingGeoscientific Model Development (GMD), 2022 Maximilian Gelbrecht Alistair J R White S. Bathiany Niklas Boers 193 23 0 29 Aug 2022
j-Wave: An open-source differentiable wave simulatorSoftwareX (SoftwareX), 2022 A. Stanziola Simon Arridge B. Cox B. Treeby VLM 103 28 0 30 Jun 2022
Learning to Accelerate Partial Differential Equations via Latent Global EvolutionNeural Information Processing Systems (NeurIPS), 2022 Tailin Wu Takashi Maruyama J. Leskovec AI4CE 126 36 0 15 Jun 2022
Unsupervised Discovery of Inertial-Fusion Plasma Physics using Differentiable Kinetic Simulations and a Maximum Entropy Loss FunctionJournal of Plasma Physics (JPP), 2022 A. Joglekar Alec G. R. Thomas 84 8 0 03 Jun 2022
Learning to Solve PDE-constrained Inverse Problems with Graph NetworksInternational Conference on Machine Learning (ICML), 2022 Qingqing Zhao David B. Lindell Gordon Wetzstein AI4CE 157 49 0 01 Jun 2022
Control of Two-way Coupled Fluid Systems with Differentiable Solvers B. Ramos Felix Trost Nils Thuerey AI4CE 118 7 0 01 Jun 2022
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks Haochen Shi Huazhe Xu Zhiao Huang Yunzhu Li Jiajun Wu 119 70 0 05 May 2022
Differentiable Simulation of Soft Multi-body SystemsNeural Information Processing Systems (NeurIPS), 2022 Yi-Ling Qiao Junbang Liang V. Koltun Ming-Chyuan Lin AI4CE 152 47 0 03 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 102 3 0 02 May 2022
A posteriori learning for quasi-geostrophic turbulence parametrizationJournal of Advances in Modeling Earth Systems (JAMES), 2022 Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 138 63 0 08 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 222 94 0 31 Mar 2022
Half-Inverse Gradients for Physical Deep LearningInternational Conference on Learning Representations (ICLR), 2022 Patrick Schnell Philipp Holl Nils Thuerey 131 8 0 18 Mar 2022
Simulating Liquids with Graph Networks Jonathan Klimesch Philipp Holl Nils Thuerey GNN AI4CE 142 12 0 14 Mar 2022
Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation HorizonsJournal of Fluid Mechanics (JFM), 2022 Bjorn List Li-Wei Chen Nils Thuerey 169 69 0 14 Feb 2022
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse ProblemsPhysical review B (PRB), 2022 Ying Zhou Xiang Chen Peng Zhang Jun Wang Lei Wang Hongfeng Guo 157 1 0 10 Feb 2022
Deep Neural Networks to Correct Sub-Precision Errors in CFDApplications in Energy and Combustion Science (AECS), 2022 Akash Haridas N. R. Vadlamani Y. Minamoto 74 6 0 09 Feb 2022
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNsAAAI Conference on Artificial Intelligence (AAAI), 2022 Georg Kohl Li-Wei Chen Nils Thuerey 84 0 0 08 Feb 2022
Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang Weihao Gao Di Wu Chong-Jun Wang PINN AI4CE 121 6 0 28 Jan 2022
Pseudo-Differential Neural Operator: Generalized Fourier Neural Operator for Learning Solution Operators of Partial Differential Equations J. Shin Jae Yong Lee H. Hwang 225 6 0 28 Jan 2022
Control of Dual-Sourcing Inventory Systems using Recurrent Neural NetworksINFORMS journal on computing (IJOC), 2022 Lucas Böttcher Thomas Asikis I. Fragkos BDL 206 14 0 16 Jan 2022
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning Jun Lv Qiaojun Yu Lin Shao Wenhai Liu Wenqiang Xu Cewu Lu 234 27 0 29 Nov 2021
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 136 3 0 12 Nov 2021
A research framework for writing differentiable PDE discretizations in JAX A. Stanziola Simon Arridge B. Cox B. Treeby 84 8 0 09 Nov 2021
Solving PDE-constrained Control Problems Using Operator Learning Rakhoon Hwang Jae Yong Lee J. Shin H. Hwang AI4CE 244 58 0 09 Nov 2021
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 135 7 0 07 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 188 65 0 05 Oct 2021
Differentiable Spline Approximations Minsu Cho Aditya Balu Ameya Joshi Anjana Prasad Biswajit Khara Soumik Sarkar Baskar Ganapathysubramanian A. Krishnamurthy Chinmay Hegde 125 5 0 04 Oct 2021
Scale-invariant Learning by Physics Inversion Philipp Holl V. Koltun Nils Thuerey PINN AI4CE 179 9 0 30 Sep 2021
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 126 64 0 16 Sep 2021
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils Li-Wei Chen Nils Thuerey AI4CE 195 9 0 05 Sep 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 362 77 0 02 Jul 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 163 53 0 15 Jun 2021
Physics-Aware Downsampling with Deep Learning for Scalable Flood ModelingNeural Information Processing Systems (NeurIPS), 2021 Niv Giladi Z. Ben-Haim Sella Nevo Yossi Matias Daniel Soudry AI4CE 88 11 0 14 Jun 2021
DiffCloth: Differentiable Cloth Simulation with Dry Frictional ContactACM Transactions on Graphics (TOG), 2021 Yifei Li Tao Du Kui Wu Jie Xu Wojciech Matusik 272 114 0 09 Jun 2021
Deep Bayesian Active Learning for Accelerating Stochastic SimulationKnowledge Discovery and Data Mining (KDD), 2021 D. Wu Ruijia Niu Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4CE 321 12 0 05 Jun 2021
Learning neural network potentials from experimental data via Differentiable Trajectory ReweightingNature Communications (Nat Commun), 2021 Stephan Thaler Julija Zavadlav 135 78 0 02 Jun 2021
Global Transport for Fluid Reconstruction with Learned Self-SupervisionComputer Vision and Pattern Recognition (CVPR), 2021 Erik Franz B. Solenthaler Nils Thuerey 128 32 0 13 Apr 2021
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable PhysicsInternational Conference on Learning Representations (ICLR), 2021 Zhiao Huang Yuanming Hu Tao Du Siyuan Zhou Hao Su J. Tenenbaum Chuang Gan AI4CE 142 147 0 07 Apr 2021