SPNets: Differentiable Fluid Dynamics for Deep Neural Networks

15 June 2018

Papers citing "SPNets: Differentiable Fluid Dynamics for Deep Neural Networks"

48 / 98 papers shown

Title
Boundary Graph Neural Networks for 3D Simulations Andreas Mayr Sebastian Lehner A. Mayrhofer C. Kloss Sepp Hochreiter Johannes Brandstetter AI4CE 9 33 0 21 Jun 2021
DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact Yifei Li Tao Du Kui Wu Jie Xu Wojciech Matusik 27 90 0 09 Jun 2021
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks Lukas Harsch S. Riedelbauch AI4CE 59 12 0 06 May 2021
Differentiable model-based adaptive optics for two-photon microscopy Ivan Vishniakou Johannes D. Seelig MedIm 18 4 0 29 Apr 2021
Global Transport for Fluid Reconstruction with Learned Self-Supervision Erik Franz B. Solenthaler Nils Thuerey 33 26 0 13 Apr 2021
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics Zhiao Huang Yuanming Hu Tao Du Siyuan Zhou Hao Su J. Tenenbaum Chuang Gan AI4CE 31 127 0 07 Apr 2021
gradSim: Differentiable simulation for system identification and visuomotor control Krishna Murthy Jatavallabhula Miles Macklin Florian Golemo Vikram S. Voleti Petrini ... Erleben Liam Paull Florian Shkurti Derek Nowrouzezahrai Sanja Fidler 19 97 0 06 Apr 2021
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation Pingchuan Ma Tao Du John Z. Zhang Kui Wu Andrew Spielberg Robert K. Katzschmann Wojciech Matusik 41 37 0 02 Apr 2021
Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact Keenon Werling Dalton Omens Jeongseok Lee Ionnis Exarchos C. Karen Liu PINN 24 80 0 30 Mar 2021
Transferable Model for Shape Optimization subject to Physical Constraints Lukas Harsch Johannes Burgbacher S. Riedelbauch AI4CE 24 1 0 19 Mar 2021
Learning to Manipulate Amorphous Materials Yunbo Zhang Wenhao Yu C. Karen Liu Charles C. Kemp Greg Turk 17 16 0 03 Mar 2021
Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations Jingbin Huang Fei Liu Florian Richter Michael C. Yip 13 17 0 02 Feb 2021
DiffPD: Differentiable Projective Dynamics Tao Du Kui Wu Pingchuan Ma Sebastien Wah Andrew Spielberg Daniela Rus Wojciech Matusik 29 94 0 15 Jan 2021
Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D Nils Wandel Michael Weinmann Reinhard Klein AI4CE 26 50 0 22 Dec 2020
Faster Policy Learning with Continuous-Time Gradients Samuel K. Ainsworth Kendall Lowrey John Thickstun Zaïd Harchaoui S. Srinivasa 19 11 0 12 Dec 2020
Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics Engine for Tensegrity Robots Kun Wang Mridul Aanjaneya Kostas Bekris 14 15 0 10 Nov 2020
Spring-Rod System Identification via Differentiable Physics Engine Kun Wang Mridul Aanjaneya Kostas Bekris 6 0 0 09 Nov 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin G. Walters Jinxi Li Rose Yu 26 43 0 21 Oct 2020
Autonomous Robotic Suction to Clear the Surgical Field for Hemostasis using Image-based Blood Flow Detection Florian Richter Shihao Shen Fei Liu Jingbin Huang E. Funk Ryan K. Orosco Michael C. Yip OOD 27 37 0 16 Oct 2020
Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics Yan Luo Abdeslam Boularias Mridul Aanjaneya 10 1 0 24 Sep 2020
Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids Dan Koschier Jan Bender B. Solenthaler M. Teschner AI4CE 22 84 0 15 Sep 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction Filipe de Avila Belbute-Peres T. Economon J. Zico Kolter AI4CE 31 223 0 08 Jul 2020
Scalable Differentiable Physics for Learning and Control Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin PINN AI4CE 36 119 0 04 Jul 2020
ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact Moritz Geilinger D. Hahn Jonas Zehnder M. Bacher B. Thomaszewski Stelian Coros AI4CE 14 41 0 02 Jul 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Kiwon Um R. Brand Yun Fei Fei Philipp Holl N. Thürey AI4CE 21 257 0 30 Jun 2020
Learning Physical Constraints with Neural Projections Shuqi Yang Xingzhe He Bo Zhu 3DV AI4CE 41 25 0 23 Jun 2020
Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize Nils Wandel Michael Weinmann Reinhard Klein AI4CE 21 8 0 15 Jun 2020
Alternating ConvLSTM: Learning Force Propagation with Alternate State Updates Congyue Deng Tai-Jiang Mu Shimin Hu 13 4 0 14 Jun 2020
Learning to Slide Unknown Objects with Differentiable Physics Simulations Changkyu Song Abdeslam Boularias 29 39 0 11 May 2020
Identifying Mechanical Models through Differentiable Simulations Changkyu Song Abdeslam Boularias 19 12 0 11 May 2020
Lagrangian Neural Style Transfer for Fluids Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 28 37 0 02 May 2020
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines Kun Wang Mridul Aanjaneya Kostas Bekris PINN 10 21 0 28 Apr 2020
Visual Grounding of Learned Physical Models Yunzhu Li Toru Lin Kexin Yi Daniel M. Bear Daniel L. K. Yamins Jiajun Wu J. Tenenbaum Antonio Torralba OOD OCL AI4CE PINN 29 79 0 28 Apr 2020
SAPIEN: A SimulAted Part-based Interactive ENvironment Fanbo Xiang Yuzhe Qin Kaichun Mo Yikuan Xia Hao Zhu ... He-Nan Wang Li Yi Angel X. Chang Leonidas J. Guibas Hao Su 218 487 0 19 Mar 2020
Differentiable Molecular Simulations for Control and Learning Wujie Wang Simon Axelrod Rafael Gómez-Bombarelli AI4CE 106 49 0 27 Feb 2020
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics David Millard Eric Heiden Shubham Agrawal Gaurav Sukhatme AI4CE 19 13 0 22 Jan 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 44 185 0 21 Jan 2020
Predicting the Physical Dynamics of Unseen 3D Objects Davis Rempe Srinath Sridhar He-Nan Wang Leonidas J. Guibas AI4CE 14 8 0 16 Jan 2020
DiffTaichi: Differentiable Programming for Physical Simulation Yuanming Hu Luke Anderson Tzu-Mao Li Qi Sun N. Carr Jonathan Ragan-Kelley F. Durand 7 369 0 01 Oct 2019
Vid2Param: Modelling of Dynamics Parameters from Video Martin Asenov Michael G. Burke Daniel Angelov Todor Davchev Kartic Subr S. Ramamoorthy VGen 6 5 0 15 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 30 356 0 06 Jul 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 27 784 0 10 Jun 2019
Interactive Differentiable Simulation Eric Heiden David Millard Hejia Zhang Gaurav Sukhatme OOD AI4CE PINN 8 50 0 26 May 2019
Approximating the solution to wave propagation using deep neural networks Matthias Limmer Stef Garasto F. Schüle R. Schweiger Anil A. Bharath 29 21 0 04 Dec 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 27 389 0 03 Oct 2018
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics Yuanming Hu Jiancheng Liu Andrew Spielberg J. Tenenbaum William T. Freeman Jiajun Wu Daniela Rus Wojciech Matusik AI4CE 14 260 0 02 Oct 2018
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 280 1,400 0 01 Dec 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 192 522 0 21 Sep 2016