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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Disentangling Video with Independent Prediction William F. Whitney Rob Fergus CML CoGe OCL DRL 43 1 0 17 Jan 2019
Learning Generalizable Physical Dynamics of 3D Rigid Objects Davis Rempe Srinath Sridhar He Wang Leonidas J. Guibas AI4CE 22 2 0 02 Jan 2019
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner Sergey Levine William T. Freeman J. Tenenbaum Chelsea Finn Jiajun Wu OCL 25 129 0 28 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Yuchen Zhang Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 35 5,416 0 20 Dec 2018
Modular meta-learning in abstract graph networks for combinatorial generalization Ferran Alet Maria Bauzá Alberto Rodriguez Tomas Lozano-Perez L. Kaelbling GNN 19 3 0 19 Dec 2018
Perceiving Physical Equation by Observing Visual Scenarios Siyu Huang Zhi-Qi Cheng Xi Li Xiao-Jun Wu Zhongfei Zhang Alexander G. Hauptmann 4 9 0 29 Nov 2018
Learning to Predict the Cosmological Structure Formation Siyu He Yin Li Yu Feng S. Ho Siamak Ravanbakhsh Wei Chen Barnabás Póczós 28 168 0 15 Nov 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Zhaochun Ren Eric Zhao Jiliang Tang Dawei Yin GNN 23 238 0 24 Oct 2018
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows Nils Thuerey Konstantin Weissenow L. Prantl Xiangyu Y. Hu AI4CE 39 378 0 18 Oct 2018
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs Boris Ivanovic Marco Pavone 29 1 0 14 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 32 389 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 22 262 0 02 Oct 2018
Propagation Networks for Model-Based Control Under Partial Observation Yunzhu Li Jiajun Wu Jun-Yan Zhu J. Tenenbaum Antonio Torralba Russ Tedrake AI4CE 11 137 0 28 Sep 2018
Neural Allocentric Intuitive Physics Prediction from Real Videos Zhihua Wang Stefano Rosa Yishu Miao Zihang Lai Linhai Xie Andrew Markham A. Trigoni 21 1 0 07 Sep 2018
Modeling human intuitions about liquid flow with particle-based simulation Christopher Bates Ilker Yildirim J. Tenenbaum Peter W. Battaglia AI4CE 30 52 0 05 Sep 2018
Interpretable Intuitive Physics Model Tian-Chun Ye Xinyu Wang James Davidson Abhinav Gupta DRL AI4CE 18 56 0 29 Aug 2018
A survey on Deep Learning Advances on Different 3D Data Representations Eman Ahmed Alexandre Saint Abd El Rahman Shabayek K. Cherenkova Rig Das Gleb Gusev Djamila Aouada Björn E. Ottersten AI4TS 3DPC 25 95 0 04 Aug 2018
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 24 385 0 26 Jul 2018
Meta-learning autoencoders for few-shot prediction Tailin Wu J. Peurifoy Isaac L. Chuang Max Tegmark 6 22 0 26 Jul 2018
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks David Zheng V. Luo Jiajun Wu J. Tenenbaum SSL DRL AI4CE 16 54 0 24 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 26 68 0 12 Jul 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 24 249 0 21 Jun 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 138 305 0 11 Jun 2018
A New Framework for Machine Intelligence: Concepts and Prototype Abel Torres Montoya 35 0 0 06 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 121 3,087 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 42 595 0 04 Jun 2018
Relational inductive bias for physical construction in humans and machines Jessica B. Hamrick Kelsey R. Allen V. Bapst Tina Zhu Kevin R. McKee J. Tenenbaum Peter W. Battaglia 39 110 0 04 Jun 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 24 36 0 25 May 2018
Unsupervised Intuitive Physics from Visual Observations Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi SSL PINN OOD 25 31 0 14 May 2018
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking Oliver Groth F. Fuchs Ingmar Posner Andrea Vedaldi 20 98 0 21 Apr 2018
Neural Kinematic Networks for Unsupervised Motion Retargetting Ruben Villegas Jimei Yang Duygu Ceylan Honglak Lee GAN 24 211 0 16 Apr 2018
Probing Physics Knowledge Using Tools from Developmental Psychology Luis S. Piloto Ari Weinstein TB Dhruva Arun Ahuja M. Berk Mirza Greg Wayne David Amos Chia-Chun Hung M. Botvinick 30 34 0 03 Apr 2018
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning Ronan Riochet M. Castro Mathieu Bernard Adam Lerer Rob Fergus Véronique Izard Emmanuel Dupoux 38 76 0 20 Mar 2018
Data-Augmented Contact Model for Rigid Body Simulation Yifeng Jiang Jiazheng Sun Chenxi Liu PINN 16 21 0 11 Mar 2018
Generative Modeling of Multimodal Multi-Human Behavior Boris Ivanovic Edward Schmerling Karen Leung Marco Pavone 27 72 0 06 Mar 2018
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber BDL OCL DRL 34 290 0 28 Feb 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow S. Wiewel M. Becher N. Thürey AI4CE 35 273 0 27 Feb 2018
Hierarchical Cloth Simulation using Deep Neural Networks Young-Jin Oh Tae Min Lee In-Kwon Lee 3DH AI4CE 24 25 0 09 Feb 2018
IONet: Learning to Cure the Curse of Drift in Inertial Odometry Changhao Chen Chris Xiaoxuan Lu Andrew Markham A. Trigoni 20 283 0 30 Jan 2018
Taking Visual Motion Prediction To New Heightfields Sébastien Ehrhardt Áron Monszpart Niloy Mitra Andrea Vedaldi 21 23 0 22 Dec 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 54 1,230 0 10 Nov 2017
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 31 14 0 24 Oct 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 34 281 0 16 Oct 2017
Learning Robotic Manipulation of Granular Media Connor Schenck Jonathan Tompson Dieter Fox Sergey Levine 28 53 0 08 Sep 2017
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Programmable Agents Misha Denil Sergio Gomez Colmenarejo Serkan Cabi D. Saxton Nando de Freitas AI4CE 30 42 0 20 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 37 230 0 14 Jun 2017
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation Sébastien Ehrhardt Áron Monszpart Andrea Vedaldi Niloy Mitra 30 7 0 06 Jun 2017
Visual Interaction Networks Nicholas Watters Andrea Tacchetti T. Weber Razvan Pascanu Peter W. Battaglia Daniel Zoran PINN 3DH 10 278 0 05 Jun 2017