A Compositional Object-Based Approach to Learning Physical Dynamics

1 December 2016

Antonio Torralba

Papers citing "A Compositional Object-Based Approach to Learning Physical Dynamics"

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Title
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines Koji Watanabe Katsumi Inoue AI4CE 35 1 0 07 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 46 18 0 30 Nov 2022
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction G. L. Moing Jean Ponce Cordelia Schmid 28 6 0 25 Nov 2022
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression Zhongtian Dong K. Kong Konstantin T. Matchev Katia Matcheva 46 13 0 15 Nov 2022
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 27 0 0 07 Nov 2022
Visual Reinforcement Learning with Self-Supervised 3D Representations Yanjie Ze Nicklas Hansen Yinbo Chen Mohit Jain Xiaolong Wang SSL 32 49 0 13 Oct 2022
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models Ziyi Wu Nikita Dvornik Klaus Greff Thomas Kipf Animesh Garg OCL BDL 67 91 0 12 Oct 2022
Elastic Context: Encoding Elasticity for Data-driven Models of Textiles Alberta Longhini Marco Moletta Alfredo Reichlin Michael C. Welle Alexander Kravberg Yufei Wang David Held Zackory M. Erickson Danica Kragic 30 7 0 12 Sep 2022
Learning Efficient Abstract Planning Models that Choose What to Predict Nishanth Kumar Willie McClinton Rohan Chitnis Tom Silver Tomás Lozano-Pérez L. Kaelbling 34 18 0 16 Aug 2022
Motif-based Graph Representation Learning with Application to Chemical Molecules Yifei Wang Shiyang Chen Guobin Chen Ethan Shurberg Hang Liu Pengyu Hong GNN 33 14 0 09 Aug 2022
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems Yixin Su Yunxiang Zhao S. Erfani Junhao Gan Rui Zhang 166 24 0 28 Jun 2022
Efficient entity-based reinforcement learning Vince Jankovics Michael Garcia Ortiz Eduardo Alonso OCL OffRL 38 1 0 06 Jun 2022
Complex Locomotion Skill Learning via Differentiable Physics Yu Fang Jiancheng Liu Mingrui Zhang Jiasheng Zhang Yi Ma Minchen Li Yuanming Hu Chenfanfu Jiang Tiantian Liu 28 5 0 06 Jun 2022
Differentiable solver for time-dependent deformation problems with contact Zizhou Huang Davi C. Tozoni Arvi Gjoka Z. Ferguson T. Schneider Daniele Panozzo Denis Zorin AI4CE 35 19 0 26 May 2022
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision Manuel Traub S. Otte Tobias Menge Matthias Karlbauer Jannik Thummel Martin Volker Butz 34 20 0 26 May 2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction Yining Hong Kaichun Mo L. Yi Leonidas J. Guibas Antonio Torralba J. Tenenbaum Chuang Gan 42 5 0 05 May 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks Mario Lino Stathi Fotiadis Anil A. Bharath C. Cantwell AI4CE 14 12 0 05 May 2022
Learning Individual Interactions from Population Dynamics with Discrete-Event Simulation Model Yan Shen Fan Yang Ming-Xin Gao Wen Dong 22 0 0 04 May 2022
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen Kexin Yi Yunzhu Li Mingyu Ding Antonio Torralba J. Tenenbaum Chuang Gan CoGe OCL 20 52 0 02 May 2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools Xingyu Lin Zhiao Huang Yunzhu Li J. Tenenbaum David Held Chuang Gan 35 72 0 31 Mar 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 53 57 0 31 Mar 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields Danny Driess Zhiao Huang Yunzhu Li Russ Tedrake Marc Toussaint OCL AI4CE 122 85 0 24 Feb 2022
Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks Tianju Xue S. Adriaenssens S. Mao AI4CE 17 26 0 24 Feb 2022
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks Zhe Li A. Tolias Xaq Pitkow AI4CE 42 3 0 22 Feb 2022
A Survey on Machine Learning Approaches for Modelling Intuitive Physics Jiafei Duan Arijit Dasgupta Jason Fischer Cheston Tan AI4CE LRM 11 23 0 14 Feb 2022
Fast Model-based Policy Search for Universal Policy Networks B. L. Semage Thommen George Karimpanal Santu Rana Svetha Venkatesh 34 1 0 11 Feb 2022
Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang Weihao Gao Di Wu Chong-Jun Wang PINN AI4CE 30 4 0 28 Jan 2022
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 23 95 0 24 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 75 27 0 06 Dec 2021
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning Jun Lv Qiaojun Yu Lin Shao Wenhai Liu Wenqiang Xu Cewu Lu 33 24 0 29 Nov 2021
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization Junyan Cheng Iordanis Fostiropoulos Barry W. Boehm 8 9 0 17 Nov 2021
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories Arijit Dasgupta Jiafei Duan M. Ang Yi Lin Su-hua Wang R. Baillargeon Cheston Tan 22 9 0 16 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 33 93 0 02 Nov 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding Zhenfang Chen Tao Du Ping Luo J. Tenenbaum Chuang Gan VGen PINN OCL 38 74 0 28 Oct 2021
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design Craig Innes S. Ramamoorthy 24 5 0 16 Sep 2021
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 40 56 0 16 Sep 2021
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition Hangjie Yuan Dong Ni Mang Wang AI4CE 17 80 0 26 Aug 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 24 44 0 27 Jul 2021
Reasoning-Modulated Representations Petar Velivcković Matko Bovsnjak Thomas Kipf Alexander Lerchner R. Hadsell Razvan Pascanu Charles Blundell OCL OOD SSL 18 15 0 19 Jul 2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design Jie Xu Tao Chen Lara Zlokapa Michael Foshey Wojciech Matusik Shinjiro Sueda Pulkit Agrawal 27 89 0 15 Jul 2021
Active Learning of Abstract Plan Feasibility Michael Noseworthy Caris Moses Isa Brand Sebastian Castro L. Kaelbling Tomás Lozano-Pérez Nicholas Roy 25 22 0 01 Jul 2021
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks Christopher Xie Arsalan Mousavian Yu Xiang Dieter Fox 25 19 0 29 Jun 2021
Conditional Neural Relational Inference for Interacting Systems Joao A. Candido Ramos Lionel Blondé S. Armand Alexandros Kalousis 14 49 0 21 Jun 2021
DiffLoop: Tuning PID controllers by differentiating through the feedback loop Athindran Ramesh Kumar Peter J. Ramadge 20 12 0 19 Jun 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 58 87 0 15 Jun 2021
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition Tianyu Wang Miaomiao Liu K. S. Ng 3DPC OCL 42 2 0 10 Jun 2021
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks Mario Lino C. Cantwell Anil A. Bharath Stathi Fotiadis AI4CE 31 48 0 09 Jun 2021
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos Lele Luan Yang Liu Hao Sun PINN AI4CE 33 0 0 09 Jun 2021
Learning Representation over Dynamic Graph using Aggregation-Diffusion Mechanism Mingyi Liu Zhiying Tu Xiaofei Xu Zhongjie Wang GNN DiffM 29 1 0 03 Jun 2021
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning Rohan Chitnis Tom Silver J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 18 53 0 28 May 2021