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
INFER : Learning Implicit Neural Frequency Response Fields for Confined Car Cabin Harshvardhan Takawale Nirupam Roy Phil Brown 24 0 0 08 Oct 2025
Differentiable physics for sound field reconstruction Samuel A. Verburg Efren Fernandez-Grande Peter Gerstoft AI4CE 63 0 0 06 Oct 2025
Reversible GNS for Dissipative Fluids with Consistent Bidirectional Dynamics Mu Huang Linning Xu Mingyue Dai Yidi Shao Bo Dai AI4CE 32 0 0 26 Sep 2025
Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation Sergei Shumilin Alexander Ryabov Nikolay Yavich Evgeny Burnaev Vladimir Vanovskiý 27 0 0 24 Jul 2025
PICT -- A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid DynamicsJournal of Computational Physics (JCP), 2025 Aleksandra Franz Hao Wei Luca Guastoni Nils Thuerey AI4CE 119 0 0 22 May 2025
Emergence of Computational Structure in a Neural Network Physics Simulator Rohan Hitchcock Gary W. Delaney J. Manton Richard Scalzo Jingge Zhu 139 1 0 16 Apr 2025
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control Tailin Wu Xiaowei Qian Wenhao Deng Rui Wang Haodong Feng ... Tao Zhang Long Wei Yue Wang Zhi-Ming Ma Tailin Wu AI4CE 378 0 0 04 Feb 2025
Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin ModelsMachine-mediated learning (ML), 2024 Muhammad Saad Zia Ashiq Anjum Lu Liu Anthony Conway Anasol Pena Rios AI4CE PINN 264 1 0 18 Nov 2024
Multi-modal Policies with Physics-informed Representations in Complex Fluid Environments Haodong Feng Tailin Wu Yue Wang Dixia Fan AI4CE PINN 138 0 0 20 Oct 2024
DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference TasksInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2024 Xutong Jin Chenxi Xu Ruohan Gao Jiajun Wu Guoping Wang Sheng Li DiffM 98 3 0 20 Sep 2024
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation Asen Nachkov D. Paudel Luc Van Gool 136 0 0 12 Sep 2024
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEsIEEE Conference on Decision and Control (CDC), 2024 Priyabrata Saha Saibal Mukhopadhyay AI4CE 103 0 0 09 Sep 2024
Differentiable programming across the PDE and Machine Learning barrier N. Bouziani David A. Ham Ado Farsi PINN AI4CE 206 3 0 09 Sep 2024
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations Sheel Nidhan Haoliang Jiang Lalit Ghule C. Umphrey Rishikesh Ranade Jay Pathak AI4CE 258 0 0 26 Aug 2024
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing Bo Ai Stephen Tian Haochen Shi Yixuan Wang Cheston Tan Yunzhu Li Jiajun Wu 177 22 0 01 Jul 2024
Approximately Equivariant Neural ProcessesNeural Information Processing Systems (NeurIPS), 2024 Matthew Ashman Cristiana-Diana Diaconu Adrian Weller W. Bruinsma Richard E. Turner BDL 146 2 0 19 Jun 2024
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations Vladislav Trifonov Alexander Rudikov Oleg Iliev Ivan Oseledets Ekaterina Muravleva Ekaterina Muravleva DiffM AI4CE 218 0 0 07 Jun 2024
MotionCraft: Physics-based Zero-Shot Video Generation L. S. Aira Antonio Montanaro Emanuele Aiello D. Valsesia E. Magli DiffM VGen 100 23 0 22 May 2024
PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential EquationsConference on Learning for Dynamics & Control (L4DC), 2024 Luke Bhan Yuexin Bian Miroslav Krstic Yuanyuan Shi OOD AI4CE 126 7 0 18 May 2024
Stabilizing Backpropagation Through Time to Learn Complex PhysicsInternational Conference on Learning Representations (ICLR), 2024 Patrick Schnell Nils Thuerey 211 2 0 03 May 2024
Learning to Move Objects with Fluid Streams in a Differentiable Simulation Kārlis Freivalds Laura Leja Oskars Teikmanis AI4CE OCL 124 1 0 28 Apr 2024
Neural Operators Learn the Local Physics of Magnetohydrodynamics Taeyoung Kim Youngsoo Ha Myungjoo Kang AI4CE 101 0 0 24 Apr 2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations Xuan Zhang Jacob Helwig Yu-Ching Lin Yaochen Xie Cong Fu Stephan Wojtowytsch Shuiwang Ji AI4CE 189 10 0 28 Mar 2024
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework Artur Toshev Harish D. Ramachandran Jonas A. Erbesdobler Gianluca Galletti Johannes Brandstetter Nikolaus A. Adams 142 7 0 07 Mar 2024
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling Ruijia Niu D. Wu Kai Kim Yi-An Ma D. Watson‐Parris Rose Yu AI4CE 164 7 0 29 Feb 2024
Clifford-Steerable Convolutional Neural Networks Maksim Zhdanov David Ruhe Maurice Weiler Ana Lucic Johannes Brandstetter Patrick Forré 281 22 0 22 Feb 2024
Implicit Neural Representation for Physics-driven Actuated Soft BodiesACM Transactions on Graphics (TOG), 2022 Lingchen Yang Byungsoo Kim Gaspard Zoss Baran Gözcü Markus Gross B. Solenthaler AI4CE 3DH 93 21 0 26 Jan 2024
Neural Control: Concurrent System Identification and Control Learning with Neural ODE Cheng Chi 228 0 0 03 Jan 2024
Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation LawsCommunications in Computational Physics (Commun. Comput. Phys.), 2024 Taeyoung Kim Myungjoo Kang AI4CE 302 3 0 03 Jan 2024
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics Zhiao Huang Feng Chen Yewen Pu Chun-Tse Lin Hao Su Chuang Gan 140 5 0 11 Dec 2023
Better Neural PDE Solvers Through Data-Free Mesh MoversInternational Conference on Learning Representations (ICLR), 2023 Tailin Wu Yue Wang Zhi-Ming Ma AI4CE 150 7 0 09 Dec 2023
Differentiable Fluid Physics Parameter Identification Via Stirring Samuel Paradis Dongzhe Zheng Yutong Li Michael Whitmeyer Cewu Lu 127 0 0 09 Nov 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 218 5 0 30 Oct 2023
Almost Equivariance via Lie Algebra Convolutions Daniel McNeela 484 7 0 19 Oct 2023
Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation Yuqi Xiang Feitong Chen Qinsi Wang Yang Gang Xiang Zhang Xinghao Zhu Xingyu Liu Lin Shao 139 2 0 07 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingInternational Conference on Learning Representations (ICLR), 2023 Aochuan Chen Yimeng Zhang Jinghan Jia James Diffenderfer Jiancheng Liu Konstantinos Parasyris Yihua Zhang Zheng Zhang B. Kailkhura Sijia Liu 360 72 0 03 Oct 2023
A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints Roussel Desmond Nzoyem David A.W. Barton Tom Deakin AI4CE 112 7 0 02 Oct 2023
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence Thorsten Glüsenkamp Frank Jenko Nils Thuerey AI4CE 128 6 0 28 Sep 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 183 1 0 27 Sep 2023
Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional ContactIEEE International Conference on Robotics and Automation (ICRA), 2023 Gang Yang Siyuan Luo Lin Shao 114 8 0 09 Sep 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl Li-Wei Chen Nils Thuerey AI4CE DiffM 189 40 0 04 Sep 2023
Bringing PDEs to JAX with forward and reverse modes automatic differentiationInternational Conference on Learning Representations (ICLR), 2020 I. Yashchuk 75 6 0 31 Aug 2023
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable GraphicsACM Transactions on Graphics (TOG), 2023 Michael Fischer Tobias Ritschel 194 7 0 10 Aug 2023
Differentiable Turbulence: Closure as a partial differential equation constrained optimization Varun Shankar Dibyajyoti Chakraborty V. Viswanathan R. Maulik AI4CE 146 1 0 07 Jul 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical SystemsAmerican Control Conference (ACC), 2023 Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron Melanie Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 175 54 0 24 Jun 2023
Machine learning of hidden variables in multiscale fluid simulation A. Joglekar A. Thomas AI4CE 592 12 0 19 Jun 2023
Disentangled Multi-Fidelity Deep Bayesian Active LearningInternational Conference on Machine Learning (ICML), 2023 D. Wu Ruijia Niu Matteo Chinazzi Yi-An Ma Rose Yu AI4CE 214 8 0 07 May 2023
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable PhysicsInternational Conference on Learning Representations (ICLR), 2023 Sizhe Li Zhiao Huang Tao Chen Tao Du Hao Su J. Tenenbaum Chuang Gan 158 29 0 27 Mar 2023
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid ManipulationInternational Conference on Learning Representations (ICLR), 2023 Zhou Xian Bo Zhu Zhenjia Xu H. Tung Antonio Torralba Katerina Fragkiadaki Chuang Gan 116 61 0 04 Mar 2023
Geometric Clifford Algebra NetworksInternational Conference on Machine Learning (ICML), 2023 David Ruhe Jayesh K. Gupta Steven De Keninck Max Welling Johannes Brandstetter AI4CE 250 49 0 13 Feb 2023