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Interaction Networks for Learning about Objects, Relations and Physics

Interaction Networks for Learning about Objects, Relations and Physics

1 December 2016
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
    AI4CE
    OCL
    PINN
    GNN
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Papers citing "Interaction Networks for Learning about Objects, Relations and Physics"

50 / 210 papers shown
Title
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's
  Distance
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
S. Tsan
Raghav Kansal
Anthony Aportela
Daniel Madrigal Diaz
Javier Mauricio Duarte
S. Krishna
Farouk Mokhtar
J. Vlimant
M. Pierini
16
19
0
24 Nov 2021
Conditional Object-Centric Learning from Video
Conditional Object-Centric Learning from Video
Thomas Kipf
Gamaleldin F. Elsayed
Aravindh Mahendran
Austin Stone
S. Sabour
G. Heigold
Rico Jonschkowski
Alexey Dosovitskiy
Klaus Greff
OCL
39
213
0
24 Nov 2021
Discovering Latent Representations of Relations for Interacting Systems
Discovering Latent Representations of Relations for Interacting Systems
Dohae Lee
Young-Jin Oh
In-Kwon Lee
BDL
19
1
0
10 Nov 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph
  Parameters
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Takanori Maehara
Hoang NT
27
2
0
05 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical
  Systems
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
20
91
0
02 Nov 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from
  Video and Language
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
22
74
0
28 Oct 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical
  Systems
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Miltiadis Kofinas
N. S. Nagaraja
E. Gavves
AI4CE
19
32
0
28 Oct 2021
HR-RCNN: Hierarchical Relational Reasoning for Object Detection
HR-RCNN: Hierarchical Relational Reasoning for Object Detection
Hao Chen
Abhinav Shrivastava
15
1
0
26 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with
  Theory of Mind
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuan-Fang Wang
Fangwei Zhong
Jing Xu
Yizhou Wang
LLMAG
19
68
0
15 Oct 2021
Recurrent Multigraph Integrator Network for Predicting the Evolution of
  Population-Driven Brain Connectivity Templates
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates
Oytun Demirbilek
I. Rekik
21
5
0
06 Oct 2021
Search For Deep Graph Neural Networks
Search For Deep Graph Neural Networks
Guosheng Feng
Chunnan Wang
Hongzhi Wang
GNN
21
23
0
21 Sep 2021
Search-Based Task Planning with Learned Skill Effect Models for Lifelong
  Robotic Manipulation
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation
Jacky Liang
Mohit Sharma
A. LaGrassa
Shivam Vats
Saumya Saxena
Oliver Kroemer
59
31
0
17 Sep 2021
Is Machine Learning Ready for Traffic Engineering Optimization?
Is Machine Learning Ready for Traffic Engineering Optimization?
Guillermo Bernárdez
José Suárez-Varela
Albert Lopez
Bo-Xi Wu
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
27
46
0
03 Sep 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive
  Benchmark Study
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Tianlong Chen
Kaixiong Zhou
Keyu Duan
Wenqing Zheng
Peihao Wang
Xia Hu
Zhangyang Wang
AAML
GNN
19
61
0
24 Aug 2021
A FAIR and AI-ready Higgs boson decay dataset
A FAIR and AI-ready Higgs boson decay dataset
Yifan Chen
Eliu A. Huerta
Javier Mauricio Duarte
Philip C. Harris
Daniel S. Katz
...
Raghav Kansal
Sang Eon Park
Volodymyr V. Kindratenko
Zhizhen Zhao
R. Rusack
17
25
0
04 Aug 2021
RAIN: Reinforced Hybrid Attention Inference Network for Motion
  Forecasting
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
Jiachen Li
Fan Yang
Hengbo Ma
Srikanth Malla
M. Tomizuka
Chiho Choi
19
42
0
03 Aug 2021
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
22
285
0
26 Jul 2021
Multi-Agent Imitation Learning with Copulas
Multi-Agent Imitation Learning with Copulas
Hongwei Wang
Lantao Yu
Zhangjie Cao
Stefano Ermon
AI4CE
19
12
0
10 Jul 2021
Universal Approximation of Functions on Sets
Universal Approximation of Functions on Sets
E. Wagstaff
F. Fuchs
Martin Engelcke
Michael A. Osborne
Ingmar Posner
PINN
22
54
0
05 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based
  Reinforcement Learning
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke
Aniket Didolkar
Sarthak Mittal
Anirudh Goyal
Guillaume Lajoie
Stefan Bauer
Danilo Jimenez Rezende
Yoshua Bengio
Michael C. Mozer
C. Pal
CML
19
54
0
02 Jul 2021
RICE: Refining Instance Masks in Cluttered Environments with Graph
  Neural Networks
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
Christopher Xie
Arsalan Mousavian
Yu Xiang
D. Fox
10
19
0
29 Jun 2021
Physion: Evaluating Physical Prediction from Vision in Humans and
  Machines
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
45
86
0
15 Jun 2021
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in
  Time
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
Shao-Wei Liu
Hanwen Jiang
Jiarui Xu
Sifei Liu
Xiaolong Wang
3DH
30
160
0
09 Jun 2021
Neural Graph Matching based Collaborative Filtering
Neural Graph Matching based Collaborative Filtering
Yixin Su
Rui Zhang
S. Erfani
Junhao Gan
18
46
0
10 May 2021
Challenges and Outlook in Robotic Manipulation of Deformable Objects
Challenges and Outlook in Robotic Manipulation of Deformable Objects
Jihong Zhu
A. Cherubini
C. Dune
D. Navarro-Alarcon
Farshid Alambeigi
...
Jens Kober
Xiang-Yang Li
Jia Pan
Wenzhen Yuan
Michael Gienger
AI4CE
20
201
0
04 May 2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class
  Uncertainty
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
B. Ivanovic
Kuan-Hui Lee
P. Tokmakov
Blake Wulfe
R. McAllister
Adrien Gaidon
Marco Pavone
22
35
0
26 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy
  Physics
Graph Generative Models for Fast Detector Simulations in High Energy Physics
A. Hariri
Darya Dyachkova
Sergei Gleyzer
AI4CE
24
6
0
05 Apr 2021
Charged particle tracking via edge-classifying interaction networks
Charged particle tracking via edge-classifying interaction networks
G. Dezoort
S. Thais
Javier Mauricio Duarte
Vesal Razavimaleki
M. Atkinson
I. Ojalvo
Mark S. Neubauer
P. Elmer
17
46
0
30 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with
  Hypernetworks
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian
Shamit Lal
H. Tung
Emmanouil Antonios Platanios
Katerina Fragkiadaki
AI4CE
18
23
0
17 Mar 2021
On the Equivalence Between Temporal and Static Graph Representations for
  Observational Predictions
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions
Jianfei Gao
Bruno Ribeiro
25
11
0
12 Mar 2021
Size-Invariant Graph Representations for Graph Classification
  Extrapolations
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua
Yangze Zhou
Bruno Ribeiro
OOD
31
108
0
08 Mar 2021
Graph-based Task-specific Prediction Models for Interactions between
  Deformable and Rigid Objects
Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects
Zehang Weng
Fabian Paus
Anastasiia Varava
Hang Yin
Tamim Asfour
Danica Kragic
AI4CE
11
18
0
04 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Neural Production Systems: Learning Rule-Governed Visual Dynamics
Anirudh Goyal
Aniket Didolkar
Nan Rosemary Ke
Charles Blundell
Philippe Beaudoin
N. Heess
Michael C. Mozer
Yoshua Bengio
OCL
28
82
0
02 Mar 2021
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations
Weihua Hu
Muhammed Shuaibi
Abhishek Das
Siddharth Goyal
Anuroop Sriram
J. Leskovec
Devi Parikh
C. L. Zitnick
GNN
AI4CE
29
67
0
02 Mar 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear
  Separability and Out-of-Distribution Generalization
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Aseem Baranwal
K. Fountoulakis
Aukosh Jagannath
OODD
31
75
0
13 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
23
115
0
16 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
30
1,172
0
04 Nov 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement
  Learning
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
J. Blumenkamp
Amanda Prorok
AAML
AI4CE
10
59
0
06 Aug 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction
  Networks
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi
Xiaolong Wang
Deepak Pathak
Yi-An Ma
Jitendra Malik
25
56
0
05 Aug 2020
Slot Contrastive Networks: A Contrastive Approach for Representing
  Objects
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Evan Racah
Sarath Chandar
OCL
DRL
19
14
0
18 Jul 2020
Learning to plan with uncertain topological maps
Learning to plan with uncertain topological maps
E. Beeching
J. Dibangoye
Olivier Simonin
Christian Wolf
19
40
0
10 Jul 2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
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
28
303
0
09 Jul 2020
Learning continuous-time PDEs from sparse data with graph neural
  networks
Learning continuous-time PDEs from sparse data with graph neural networks
V. Iakovlev
Markus Heinonen
Harri Lähdesmäki
AI4CE
11
68
0
16 Jun 2020
Global Attention Improves Graph Networks Generalization
Global Attention Improves Graph Networks Generalization
Omri Puny
Heli Ben-Hamu
Y. Lipman
14
22
0
14 Jun 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory
  Prediction
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu
Xiao Ma
Jiawei Ren
Haiyu Zhao
Shuai Yi
24
457
0
18 May 2020
How hard is to distinguish graphs with graph neural networks?
How hard is to distinguish graphs with graph neural networks?
Andreas Loukas
GNN
12
6
0
13 May 2020
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Chiho Choi
Joon Hee Choi
Srikanth Malla
Jiachen Li
23
65
0
01 Apr 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
30
120
0
26 Mar 2020
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Xiaojie Guo
Liang Zhao
Cameron Nowzari
S. Rafatirad
Houman Homayoun
Sai Manoj Pudukotai Dinakarrao
37
27
0
22 Mar 2020
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
125
422
0
10 Mar 2020
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