Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

30 June 2020

Papers citing "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"

36 / 36 papers shown

Title
DiffusedWrinkles: A Diffusion-Based Model for Data-Driven Garment Animation R. Vidaurre Elena Garces Dan Casas DiffM AI4CE 108 1 0 24 Mar 2025
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 63 0 0 26 Aug 2024
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 167 434 0 10 Mar 2020
Differentiable Molecular Simulations for Control and Learning Wujie Wang Simon Axelrod Rafael Gómez-Bombarelli AI4CE 157 49 0 27 Feb 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 129 1,080 0 21 Feb 2020
WeatherBench: A benchmark dataset for data-driven weather forecasting S. Rasp P. Dueben S. Scher Jonathan A. Weyn Soukayna Mouatadid Nils Thuerey AI4Cl AI4TS 71 446 0 02 Feb 2020
AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing Xingzhe He Helen Lu Cao Bo Zhu 3DPC 26 9 0 01 Feb 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 71 188 0 21 Jan 2020
JAX, M.D.: A Framework for Differentiable Physics S. Schoenholz E. D. Cubuk 42 37 0 09 Dec 2019
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 89 119 0 18 Oct 2019
DiffTaichi: Differentiable Programming for Physical Simulation Yuanming Hu Luke Anderson Tzu-Mao Li Qi Sun N. Carr Jonathan Ragan-Kelley F. Durand 61 384 0 01 Oct 2019
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing Mike Innes Alan Edelman Keno Fischer Chris Rackauckas Elliot Saba Viral B. Shah Will Tebbutt PINN 51 182 0 17 Jul 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 110 889 0 04 Jun 2019
Learning Neural PDE Solvers with Convergence Guarantees Jun-Ting Hsieh Shengjia Zhao Stephan Eismann L. Mirabella Stefano Ermon AI4CE 49 144 0 04 Jun 2019
Structured agents for physical construction V. Bapst Alvaro Sanchez-Gonzalez Carl Doersch Kimberly L. Stachenfeld Pushmeet Kohli Peter W. Battaglia Jessica B. Hamrick AI4CE 104 99 0 05 Apr 2019
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows Nils Thuerey Konstantin Weissenow L. Prantl Xiangyu Y. Hu AI4CE 75 385 0 18 Oct 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 69 397 0 03 Oct 2018
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data M. Raissi A. Yazdani George Karniadakis AI4CE PINN 75 160 0 13 Aug 2018
Neural Networks Trained to Solve Differential Equations Learn General Representations M. Magill F. Qureshi H. W. Haan 37 64 0 29 Jun 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 368 5,081 0 19 Jun 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck Dieter Fox PINN 3DPC AI4CE 226 162 0 15 Jun 2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations Byungsoo Kim Vinicius Azevedo N. Thürey Theodore Kim Markus Gross B. Solenthaler GAN 52 389 0 06 Jun 2018
Deep Dynamical Modeling and Control of Unsteady Fluid Flows Jeremy Morton F. Witherden A. Jameson Mykel J. Kochenderfer AI4CE 62 165 0 18 May 2018
Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient Yao Zhang WoongJe Sung D. Mavris 37 222 0 29 Dec 2017
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 38 754 0 26 Oct 2017
DGM: A deep learning algorithm for solving partial differential equations Justin A. Sirignano K. Spiliopoulos AI4CE 84 2,059 0 24 Aug 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations M. Raissi George Karniadakis AI4CE PINN 67 1,137 0 02 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 646 130,942 0 12 Jun 2017
Visual Interaction Networks Nicholas Watters Andrea Tacchetti T. Weber Razvan Pascanu Peter W. Battaglia Daniel Zoran PINN 3DH 87 278 0 05 Jun 2017
Liquid Splash Modeling with Neural Networks Kiwon Um Xiangyu Y. Hu N. Thürey 60 87 0 14 Apr 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 150 958 0 01 Mar 2017
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 80 534 0 13 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.7K 76,917 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 387 20,528 0 10 Sep 2014