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Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

3 October 2018

Yunzhu Li

Jiajun Wu

Antonio Torralba

Papers citing "Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids"

46 / 246 papers shown

Title
NeuralSim: Augmenting Differentiable Simulators with Neural Networks Eric Heiden David Millard Erwin Coumans Yizhou Sheng Gaurav Sukhatme 67 140 0 09 Nov 2020
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints Qingyang Tan Zherong Pan Tianyi Zhou 3DH 74 10 0 06 Nov 2020
Scalable Graph Networks for Particle Simulations Karolis Martinkus Aurelien Lucchi Nathanael Perraudin AI4CE 71 11 0 14 Oct 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 86 808 0 07 Oct 2020
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations Samuel Pfrommer Mathew Halm Michael Posa 95 88 0 23 Sep 2020
MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM Alberto Badías I. Alfaro D. González Francisco Chinesta Elías Cueto 15 4 0 01 Sep 2020
Contrastive Variational Reinforcement Learning for Complex Observations Xiao Ma Siwei Chen David Hsu W. Lee OffRL 74 23 0 06 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals Ozsel Kilinc Giovanni Montana 52 5 0 05 Aug 2020
Dynamic Relational Inference in Multi-Agent Trajectories Ruichao Xiao Manish Kumar Singh Rose Yu 115 2 0 16 Jul 2020
Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap Eric Heiden David Millard Erwin Coumans Gaurav Sukhatme 100 21 0 12 Jul 2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation Chuang Gan Jeremy Schwartz S. Alter Damian Mrowca Martin Schrimpf ... Antonio Torralba J. DiCarlo J. Tenenbaum Josh H. McDermott Daniel L. K. Yamins VGen 175 317 0 09 Jul 2020
Scalable Differentiable Physics for Learning and Control Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin PINN AI4CE 92 120 0 04 Jul 2020
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar Dieter Fox Animesh Garg CML 124 104 0 01 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 76 273 0 30 Jun 2020
Learning Physical Constraints with Neural Projections Shuqi Yang Xingzhe He Bo Zhu 3DV AI4CE 100 26 0 23 Jun 2020
Learning Physical Graph Representations from Visual Scenes Daniel M. Bear Chaofei Fan Damian Mrowca Yunzhu Li S. Alter ... Jeremy Schwartz Li Fei-Fei Jiajun Wu J. Tenenbaum Daniel L. K. Yamins SSL GNN SSeg AI4CE 96 79 0 22 Jun 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 96 483 0 19 Jun 2020
Forward Prediction for Physical Reasoning Rohit Girdhar Laura Gustafson Aaron B. Adcock Laurens van der Maaten LRM AI4CE 129 21 0 18 Jun 2020
Multipole Graph 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 230 395 0 16 Jun 2020
Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize Nils Wandel Michael Weinmann Reinhard Klein AI4CE 87 8 0 15 Jun 2020
Alternating ConvLSTM: Learning Force Propagation with Alternate State Updates Congyue Deng Tai-Jiang Mu Shimin Hu 25 4 0 14 Jun 2020
Data-Driven Continuum Dynamics via Transport-Teleport Duality Jong-Hoon Ahn AI4CE 29 0 0 27 May 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction Cunjun Yu Xiao Ma Jiawei Ren Haiyu Zhao Shuai Yi 88 475 0 18 May 2020
Occlusion resistant learning of intuitive physics from videos Ronan Riochet Josef Sivic Ivan Laptev Emmanuel Dupoux PINN 71 7 0 30 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 88 82 0 28 Apr 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 150 1,107 0 21 Feb 2020
Model-free vision-based shaping of deformable plastic materials A. Cherubini V. Ortenzi Akansel Cosgun Robert Lee Peter Corke 66 38 0 30 Jan 2020
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics David Millard Eric Heiden Shubham Agrawal Gaurav Sukhatme AI4CE 77 13 0 22 Jan 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 85 189 0 21 Jan 2020
Predicting the Physical Dynamics of Unseen 3D Objects Davis Rempe Srinath Sridhar He Wang Leonidas Guibas AI4CE 57 8 0 16 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems Fan Yang Ling Chen Fan Zhou Yusong Gao Wei Cao 75 8 0 13 Jan 2020
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 105 121 0 18 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations Ozsel Kilinc Giovanni Montana 54 39 0 16 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds Yuhui Zhang G. Gutmann Konagaya Akihiko 3DPC 35 2 0 07 Oct 2019
Cable Manipulation with a Tactile-Reactive Gripper Y. She Shaoxiong Wang Siyuan Dong N. Sunil Alberto Rodriguez Edward H. Adelson 105 259 0 03 Oct 2019
Hamiltonian Graph Networks with ODE Integrators Alvaro Sanchez-Gonzalez V. Bapst Kyle Cranmer Peter W. Battaglia AI4CE 104 179 0 27 Sep 2019
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 277 86 0 12 Sep 2019
Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects Ahmet E. Tekden Aykut Erdem Erkut Erdem Mert Imre M. Yunus Seker Emre Ugur AI4CE 124 17 0 09 Sep 2019
Data-driven simulation for general purpose multibody dynamics using deep neural networks Hee-Sun Choi Junmo An Jin-Gyun Kim Jae-Yoon Jung Juhwan Choi Grzegorz Orzechowski A. Mikkola J. Choi PINN AI4CE 28 38 0 02 Sep 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 153 369 0 06 Jul 2019
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds L. Prantl N. Chentanez S. Jeschke Nils Thuerey 3DPC 65 14 0 03 Jul 2019
What Can Neural Networks Reason About? Keyulu Xu Jingling Li Mozhi Zhang S. Du Ken-ichi Kawarabayashi Stefanie Jegelka NAI AI4CE 97 248 0 30 May 2019
Interactive Differentiable Simulation Eric Heiden David Millard Hejia Zhang Gaurav Sukhatme OOD AI4CE PINN 92 50 0 26 May 2019
Graph Element Networks: adaptive, structured computation and memory Ferran Alet Adarsh K. Jeewajee Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling AI4CE GNN 128 76 0 18 Apr 2019
Modular meta-learning in abstract graph networks for combinatorial generalization Ferran Alet Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling GNN 69 3 0 19 Dec 2018
Nonparametric inference of interaction laws in systems of agents from trajectory data Fei Lu Mauro Maggioni Sui Tang Ming Zhong 84 108 0 14 Dec 2018