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
Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression Zhongtian Dong K. Kong Konstantin T. Matchev Katia Matcheva 38 13 0 15 Nov 2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems A. Thangamuthu Gunjan Kumar S. Bishnoi Ravinder Bhattoo N. M. A. Krishnan Sayan Ranu AI4CE PINN 27 22 0 10 Nov 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation Chenning Yu Hong-Den Yu Sicun Gao 16 17 0 17 Oct 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics L. Prantl Benjamin Ummenhofer V. Koltun Nils Thuerey AI4CE PINN 24 29 0 12 Oct 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 51 0 06 Oct 2022
On the Learning Mechanisms in Physical Reasoning Shiqian Li Ke Wu Chi Zhang Yixin Zhu AI4CE 44 13 0 05 Oct 2022
Entropy-driven Unsupervised Keypoint Representation Learning in Videos A. Younes Simone Schaub-Meyer Georgia Chalvatzaki SSL 19 0 0 30 Sep 2022
Dynamic Inference on Graphs using Structured Transition Models Saumya Saxena Oliver Kroemer AI4CE 26 0 0 29 Sep 2022
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 37 12 0 23 Sep 2022
Wavelet-based Loss for High-frequency Interface Dynamics L. Prantl Jan Bender Tassilo Kugelstadt Nils Thuerey GAN 16 0 0 06 Sep 2022
Interaction Modeling with Multiplex Attention Fan-Yun Sun Isaac Kauvar Ruohan Zhang Jiachen Li Mykel Kochenderfer Jiajun Wu Nick Haber 16 18 0 23 Aug 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology Muhammad Hassan Haifei Guan Aikaterini Melliou Yuqi Wang Qianhui Sun ... Qi Huang Jiefu Tan Qinwang Xing Peiwu Qin Dongmei Yu NAI 26 14 0 31 Jul 2022
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds Junbo Yin Jianbing Shen Xin Gao David J. Crandall Ruigang Yang 3DPC ViT 28 59 0 26 Jul 2022
Transformer with Implicit Edges for Particle-based Physics Simulation Yidi Shao Chen Change Loy Bo Dai 11 15 0 22 Jul 2022
Is an Object-Centric Video Representation Beneficial for Transfer? Chuhan Zhang Ankush Gupta Andrew Zisserman ViT 21 26 0 20 Jul 2022
BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment Zeyi Liu Zhenjia Xu Shuran Song 25 2 0 17 Jul 2022
Multi-Object Tracking and Segmentation via Neural Message Passing Guillem Brasó Orcun Cetintas Laura Leal-Taixe VOT 16 21 0 15 Jul 2022
Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks Simon Ohler Daniel Brady Winfried Lotzsch M. Fleischhauer Johannes Otterbach AI4CE 16 1 0 05 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity Jianyi Yang Shaolei Ren 13 3 0 02 Jul 2022
Lagrangian Density Space-Time Deep Neural Network Topology B. Bishnoi PINN 15 1 0 30 Jun 2022
Learn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions Weilin Wan Lei Yang Lingjie Liu Zhuoying Zhang Ruixing Jia Yi-King Choi Jia Pan Christian Theobalt Taku Komura Wenping Wang 13 22 0 25 Jun 2022
Fast Simulation of Particulate Suspensions Enabled by Graph Neural Network Zhan Ma Zisheng Ye Wenxiao Pan 32 14 0 17 Jun 2022
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers Ran Liu Mehdi Azabou M. Dabagia Jingyun Xiao Eva L. Dyer AI4CE 27 19 0 10 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 19 44 0 02 Jun 2022
Capturing Graphs with Hypo-Elliptic Diffusions Csaba Tóth Darrick Lee Celia Hacker Harald Oberhauser 16 12 0 27 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 21 20 0 26 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 9 12 0 05 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 31 67 0 16 Apr 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 20 72 0 31 Mar 2022
Continuous Scene Representations for Embodied AI S. Gadre Kiana Ehsani Shuran Song Roozbeh Mottaghi 23 46 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 34 54 0 31 Mar 2022
Simulating Liquids with Graph Networks Jonathan Klimesch Philipp Holl Nils Thuerey GNN AI4CE 17 8 0 14 Mar 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas J. Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 14 41 0 14 Mar 2022
Equivariant Graph Mechanics Networks with Constraints Wen-bing Huang J. Han Yu Rong Tingyang Xu Fuchun Sun Junzhou Huang AI4CE 25 78 0 12 Mar 2022
Machine Learning for Particle Flow Reconstruction at CMS J. Pata Javier Mauricio Duarte Farouk Mokhtar Eric Wulff J. Yoo J. Vlimant M. Pierini M. Girone 20 24 0 01 Mar 2022
Fast and Accurate Data-Driven Simulation Framework for Contact-Intensive Tight-Tolerance Robotic Assembly Tasks Jae-Geun Yoon Minji Lee Dongwon Son Dongjun Lee 15 4 0 26 Feb 2022
Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks Tianju Xue S. Adriaenssens S. Mao AI4CE 4 26 0 24 Feb 2022
KINet: Unsupervised Forward Models for Robotic Pushing Manipulation Alireza Rezazadeh Changhyun Choi SSL 3DPC 22 3 0 18 Feb 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 24 53 0 17 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 117 41 0 28 Jan 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 31 11 0 13 Jan 2022
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification Yan Pang Chao Liu GNN 19 8 0 04 Jan 2022
Learning Linear Complementarity Systems Wanxin Jin Alp Aydinoglu Mathew Halm Michael Posa 16 15 0 25 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 25 28 0 16 Dec 2021
Flexible Networks for Learning Physical Dynamics of Deformable Objects Jinhyung D. Park Dohae Lee In-Kwon Lee 3DPC AI4CE 25 2 0 07 Dec 2021
Graph Neural Networks Accelerated Molecular Dynamics Zijie Li Kazem Meidani Prakarsh Yadav A. Farimani GNN AI4CE 8 52 0 06 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 65 26 0 06 Dec 2021
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia M. Tomizuka Wei Zhan OOD 25 25 0 03 Dec 2021
Graph Neural Networks for Charged Particle Tracking on FPGAs Abdelrahman Elabd Vesal Razavimaleki Shih-Yu Huang Javier Mauricio Duarte M. Atkinson ... Bo-Cheng Lai Mark S. Neubauer I. Ojalvo S. Thais Matthew Trahms GNN 28 35 0 03 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 17 24 0 29 Nov 2021