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
Neural Graph Matching based Collaborative Filtering Yixin Su Rui Zhang S. Erfani Junhao Gan 42 46 0 10 May 2021
Object-centric Video Prediction without Annotation Karl Schmeckpeper G. Georgakis Kostas Daniilidis OCL VGen 11 7 0 06 May 2021
Pushing it out of the Way: Interactive Visual Navigation Kuo-Hao Zeng Luca Weihs Ali Farhadi Roozbeh Mottaghi 26 30 0 28 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 31 130 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 27 100 0 06 Apr 2021
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning Zhenfang Chen Jiayuan Mao Jiajun Wu Kwan-Yee K. Wong J. Tenenbaum Chuang Gan VGen 36 92 0 30 Mar 2021
Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact Keenon Werling Dalton Omens Jeongseok Lee Ionnis Exarchos Chenxi Liu PINN 24 80 0 30 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 43 318 0 22 Feb 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty 52 35 0 12 Feb 2021
Object and Relation Centric Representations for Push Effect Prediction Ahmet E. Tekden Aykut Erdem Erkut Erdem Tamim Asfour Emre Ugur 29 15 0 03 Feb 2021
Causal World Models by Unsupervised Deconfounding of Physical Dynamics Minne Li Mengyue Yang Furui Liu Xu Chen Zhitang Chen Jun Wang SyDa CML 33 12 0 28 Dec 2020
Computational principles of intelligence: learning and reasoning with neural networks Abel Torres Montoya PINN AI4CE 16 1 0 17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 27 117 0 16 Dec 2020
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 233 255 0 09 Dec 2020
Unsupervised Object Keypoint Learning using Local Spatial Predictability Anand Gopalakrishnan Sjoerd van Steenkiste Jürgen Schmidhuber SSL 31 21 0 25 Nov 2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators H. Tung Xian Zhou Mihir Prabhudesai Shamit Lal Katerina Fragkiadaki 28 28 0 12 Nov 2020
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations Zijie Huang Yizhou Sun Wei Wang AI4CE 14 72 0 08 Nov 2020
Multi-agent Trajectory Prediction with Fuzzy Query Attention Nitin Kamra Hao Zhu Dweep Trivedi Ming Zhang Yan Liu AI4CE 21 31 0 29 Oct 2020
Hierarchical Relational Inference Aleksandar Stanić Sjoerd van Steenkiste Jürgen Schmidhuber OCL 32 15 0 07 Oct 2020
A Neural-Symbolic Framework for Mental Simulation Michael D Kissner 22 0 0 05 Aug 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi Xiaolong Wang Deepak Pathak Yi Ma Jitendra Malik 33 57 0 05 Aug 2020
Detecting Beneficial Feature Interactions for Recommender Systems Yixin Su Rui Zhang S. Erfani Zhenghua Xu 14 73 0 02 Aug 2020
AlignNet: Unsupervised Entity Alignment Antonia Creswell Kyriacos Nikiforou Oriol Vinyals Andre Saraiva Rishabh Kabra ... Christopher P. Burgess Malcolm Reynolds Richard Tanburn M. Garnelo Murray Shanahan VOS 3DPC OCL 12 14 0 17 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 53 305 0 09 Jul 2020
Evaluating the Apperception Engine Richard Evans Jose Hernandez-Orallo Johannes Welbl Pushmeet Kohli Marek Sergot 30 4 0 09 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
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps M. Stetter E. Lang SSL AI4CE 16 0 0 03 Jul 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces Sébastien Ehrhardt Oliver Groth Áron Monszpart Martin Engelcke Ingmar Posner Niloy Mitra Andrea Vedaldi 3DPC 21 54 0 02 Jul 2020
Deep Learning for Vision-based Prediction: A Survey Amir Rasouli 37 42 0 30 Jun 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 36 47 0 30 Jun 2020
Learning Physical Constraints with Neural Projections Shuqi Yang Xingzhe He Bo Zhu 3DV AI4CE 41 25 0 23 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 31 466 0 19 Jun 2020
Forward Prediction for Physical Reasoning Rohit Girdhar Laura Gustafson Aaron B. Adcock Laurens van der Maaten LRM AI4CE 56 20 0 18 Jun 2020
Learning continuous-time PDEs from sparse data with graph neural networks V. Iakovlev Markus Heinonen Harri Lähdesmäki AI4CE 24 68 0 16 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 18 11 0 15 Jun 2020
Alternating ConvLSTM: Learning Force Propagation with Alternate State Updates Congyue Deng Tai-Jiang Mu Shimin Hu 21 4 0 14 Jun 2020
Accurately Solving Physical Systems with Graph Learning Han Shao Tassilo Kugelstadt Torsten Hädrich Wojciech Palubicki Jan Bender Soren Pirk D. L. Michels AI4CE 18 6 0 06 Jun 2020
Symbolic Pregression: Discovering Physical Laws from Distorted Video S. Udrescu Max Tegmark 21 40 0 19 May 2020
Occlusion resistant learning of intuitive physics from videos Ronan Riochet Josef Sivic Ivan Laptev Emmanuel Dupoux PINN 32 6 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 37 79 0 28 Apr 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 91 389 0 10 Mar 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 53 1,054 0 21 Feb 2020
Black-Box Optimization with Local Generative Surrogates S. Shirobokov V. Belavin Michael Kagan Andrey Ustyuzhanin A. G. Baydin 8 3 0 11 Feb 2020
MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network Priyabrata Saha Arslan Ali B. Mudassar Yun Long Saibal Mukhopadhyay AI4TS AI4CE 20 2 0 24 Jan 2020
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics David Millard Eric Heiden Shubham Agrawal Gaurav Sukhatme AI4CE 27 13 0 22 Jan 2020
Predicting the Physical Dynamics of Unseen 3D Objects Davis Rempe Srinath Sridhar He Wang Leonidas J. Guibas AI4CE 22 8 0 16 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems Fan Yang Ling Chen Fan Zhou Yusong Gao Wei Cao 28 8 0 13 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 19 1 0 11 Jan 2020
Discovering Nonlinear Relations with Minimum Predictive Information Regularization Tailin Wu Thomas Breuel M. Skuhersky Jan Kautz AI4TS 28 27 0 07 Jan 2020
Contrastive Learning of Structured World Models Thomas Kipf Elise van der Pol Max Welling OCL DRL 28 278 0 27 Nov 2019