Interaction Networks for Learning about Objects, Relations and Physics

1 December 2016

Peter W. Battaglia

Razvan Pascanu

Matthew Lai

Danilo Jimenez Rezende

Papers citing "Interaction Networks for Learning about Objects, Relations and Physics"

50 / 210 papers shown

Title
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 78 288 0 03 Mar 2020
Differentiable Molecular Simulations for Control and Learning Wujie Wang Simon Axelrod Rafael Gómez-Bombarelli AI4CE 93 49 0 27 Feb 2020
Neural Message Passing on High Order Paths Daniel Flam-Shepherd Tony C Wu Pascal Friederich Alán Aspuru-Guzik GNN AI4CE 11 49 0 24 Feb 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 51 1,045 0 21 Feb 2020
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction Bingbin Liu Ehsan Adeli Zhangjie Cao Kuan-Hui Lee Abhijeet Shenoi Adrien Gaidon Juan Carlos Niebles 16 150 0 20 Feb 2020
Graph Deconvolutional Generation Daniel Flam-Shepherd Tony C Wu Alán Aspuru-Guzik BDL 15 31 0 14 Feb 2020
Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts Mostafa Karimi Di Wu Zhangyang Wang Yang Shen 25 46 0 29 Dec 2019
Graph Neural Networks for Decentralized Multi-Robot Path Planning Qingbiao Li Fernando Gama Alejandro Ribeiro Amanda Prorok 34 247 0 12 Dec 2019
Driving Reinforcement Learning with Models Meghana Rathi P. Ferraro G. Russo 10 10 0 11 Nov 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 18 262 0 06 Oct 2019
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 11 52 0 05 Oct 2019
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 141 219 0 29 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. Seker Emre Ugur AI4CE 19 17 0 09 Sep 2019
Compositional Video Prediction Yufei Ye Maneesh Singh Abhinav Gupta Shubham Tulsiani 18 84 0 22 Aug 2019
Message Passing Attention Networks for Document Understanding Giannis Nikolentzos A. Tixier Michalis Vazirgiannis GNN 11 67 0 17 Aug 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 10 107 0 22 Jul 2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning F. Fuchs Adam R. Kosiorek Li Sun Oiwi Parker Jones Ingmar Posner VOT 17 12 0 12 Jul 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL Sjoerd van Steenkiste Klaus Greff Jürgen Schmidhuber OCL OffRL 14 31 0 03 Jun 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 14 2 0 30 May 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 13 44 0 27 May 2019
Human-like machine thinking: Language guided imagination Feng Qi Wenchuan Wu AI4CE MLLM 11 5 0 18 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning Yilun Du Karthik Narasimhan 9 33 0 13 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 29 331 0 30 Apr 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 46 508 0 29 Apr 2019
Spatial-Temporal Relation Networks for Multi-Object Tracking Jiarui Xu Yue Cao Zheng-Wei Zhang Han Hu VOT 46 237 0 25 Apr 2019
Reasoning Visual Dialogs with Structural and Partial Observations Zilong Zheng Wenguan Wang Siyuan Qi Song-Chun Zhu 28 117 0 11 Apr 2019
Structured agents for physical construction V. Bapst Alvaro Sanchez-Gonzalez Carl Doersch Kimberly L. Stachenfeld Pushmeet Kohli Peter W. Battaglia Jessica B. Hamrick AI4CE 16 99 0 05 Apr 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 22 626 0 29 Mar 2019
Visual Semantic Information Pursuit: A Survey Daqi Liu M. Bober J. Kittler 11 31 0 13 Mar 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 23 272 0 28 Feb 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks Andrew N. Carr David Wingate BDL 20 12 0 26 Feb 2019
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model Sirin Haddad Meiqing Wu He Wei S. Lam 21 56 0 13 Feb 2019
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks Amanpreet Singh Tushar Jain Sainbayar Sukhbaatar 15 239 0 23 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 26 5,390 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 22 1,318 0 11 Dec 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 9 335 0 22 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 16 387 0 03 Oct 2018
Modeling human intuitions about liquid flow with particle-based simulation Christopher Bates Ilker Yildirim J. Tenenbaum Peter W. Battaglia AI4CE 23 51 0 05 Sep 2018
SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification Ruimao Zhang Hongbin Sun Jingyu Li Yuying Ge Liang Lin Ping Luo Xiaogang Wang 8 75 0 16 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 14 248 0 21 Jun 2018
Learning Policy Representations in Multiagent Systems Aditya Grover Maruan Al-Shedivat Jayesh K. Gupta Yuri Burda Harrison Edwards AI4CE 19 123 0 17 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 127 305 0 11 Jun 2018
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials Peter Bjørn Jørgensen K. Jacobsen Mikkel N. Schmidt 17 82 0 08 Jun 2018
Relational recurrent neural networks Adam Santoro Ryan Faulkner David Raposo Jack W. Rae Mike Chrzanowski T. Weber Daan Wierstra Oriol Vinyals Razvan Pascanu Timothy Lillicrap GNN 8 209 0 05 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 68 3,076 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 10 593 0 04 Jun 2018
Graph Neural Networks for Learning Robot Team Coordination Amanda Prorok GNN 28 12 0 09 May 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 14 34 0 03 Apr 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
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 20 164 0 07 Jan 2018