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Learning rigid dynamics with face interaction graph networks

Learning rigid dynamics with face interaction graph networks

7 December 2022
Kelsey R. Allen
Yulia Rubanova
Tatiana López-Guevara
William F. Whitney
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
Tobias Pfaff
    3DH
    GNN
    AI4CE
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Papers citing "Learning rigid dynamics with face interaction graph networks"

29 / 29 papers shown
Title
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
110
23
0
01 Mar 2024
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household
  Items
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items
Laura Downs
Anthony G. Francis
Nate Koenig
Brandon Kinman
R. Hickman
Krista Reymann
T. B. McHugh
Vincent Vanhoucke
LM&Ro
83
491
0
25 Apr 2022
Kubric: A scalable dataset generator
Kubric: A scalable dataset generator
Klaus Greff
Francois Belletti
Lucas Beyer
Carl Doersch
Yilun Du
...
Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
91
259
0
07 Mar 2022
Affine Body Dynamics: Fast, Stable & Intersection-free Simulation of
  Stiff Materials
Affine Body Dynamics: Fast, Stable & Intersection-free Simulation of Stiff Materials
L. Lan
D. Kaufman
Minchen Li
Chenfanfu Jiang
Yin Yang
AI4CE
60
39
0
25 Jan 2022
Constraint-based graph network simulator
Constraint-based graph network simulator
Yulia Rubanova
Alvaro Sanchez-Gonzalez
Tobias Pfaff
Peter W. Battaglia
PINN
AI4CE
65
30
0
16 Dec 2021
Validating Robotics Simulators on Real-World Impacts
Validating Robotics Simulators on Real-World Impacts
Brian Acosta
William Yang
Michael Posa
76
32
0
01 Oct 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
90
94
0
15 Jun 2021
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics
Fundamental Challenges in Deep Learning for Stiff Contact Dynamics
Mihir Parmar
Mathew Halm
Michael Posa
50
37
0
29 Mar 2021
NeuralSim: Augmenting Differentiable Simulators with Neural Networks
NeuralSim: Augmenting Differentiable Simulators with Neural Networks
Eric Heiden
David Millard
Erwin Coumans
Yizhou Sheng
Gaurav Sukhatme
49
139
0
09 Nov 2020
Learning Mesh-Based Simulation with Graph Networks
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff
Meire Fortunato
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
AI4CE
77
779
0
07 Oct 2020
ContactNets: Learning Discontinuous Contact Dynamics with Smooth,
  Implicit Representations
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
Samuel Pfrommer
Mathew Halm
Michael Posa
51
86
0
23 Sep 2020
Learning to Simulate Complex Physics with Graph Networks
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINN
AI4CE
129
1,080
0
21 Feb 2020
Rapid trial-and-error learning with simulation supports flexible tool
  use and physical reasoning
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Kelsey R. Allen
Kevin A. Smith
J. Tenenbaum
LRM
59
115
0
22 Jul 2019
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics
Andy Zeng
Shuran Song
Johnny Lee
Alberto Rodriguez
Thomas Funkhouser
83
381
0
27 Mar 2019
Learning to Control Self-Assembling Morphologies: A Study of
  Generalization via Modularity
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak
Chris Xiaoxuan Lu
Trevor Darrell
Phillip Isola
Alexei A. Efros
42
134
0
14 Feb 2019
Learning agile and dynamic motor skills for legged robots
Learning agile and dynamic motor skills for legged robots
Jemin Hwangbo
Joonho Lee
Alexey Dosovitskiy
Dario Bellicoso
Vassilios Tsounis
V. Koltun
Marco Hutter
103
1,304
0
24 Jan 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable
  Objects, and Fluids
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Yunzhu Li
Jiajun Wu
Russ Tedrake
J. Tenenbaum
Antonio Torralba
PINN
AI4CE
67
397
0
03 Oct 2018
Propagation Networks for Model-Based Control Under Partial Observation
Propagation Networks for Model-Based Control Under Partial Observation
Yunzhu Li
Jiajun Wu
Jun-Yan Zhu
J. Tenenbaum
Antonio Torralba
Russ Tedrake
AI4CE
46
137
0
28 Sep 2018
Augmenting Physical Simulators with Stochastic Neural Networks: Case
  Study of Planar Pushing and Bouncing
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing
Anurag Ajay
Jiajun Wu
Nima Fazeli
Maria Bauzá
L. Kaelbling
J. Tenenbaum
Alberto Rodriguez
50
119
0
09 Aug 2018
Flexible Neural Representation for Physics Prediction
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
56
249
0
21 Jun 2018
Relational inductive biases, deep learning, and graph networks
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
586
3,112
0
04 Jun 2018
Graph networks as learnable physics engines for inference and control
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
170
598
0
04 Jun 2018
Data-Augmented Contact Model for Rigid Body Simulation
Data-Augmented Contact Model for Rigid Body Simulation
Yifeng Jiang
Jiazheng Sun
Chenxi Liu
PINN
48
22
0
11 Mar 2018
Combining Learned and Analytical Models for Predicting Action Effects
  from Sensory Data
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data
Alina Kloss
S. Schaal
Jeannette Bohg
56
85
0
11 Oct 2017
A probabilistic data-driven model for planar pushing
A probabilistic data-driven model for planar pushing
Maria Bauzá
Alberto Rodriguez
50
104
0
10 Apr 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
502
1,407
0
01 Dec 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
334
10,467
0
21 Jul 2016
More than a Million Ways to Be Pushed: A High-Fidelity Experimental
  Dataset of Planar Pushing
More than a Million Ways to Be Pushed: A High-Fidelity Experimental Dataset of Planar Pushing
Kuan-Ting Yu
Maria Bauzá
Nima Fazeli
Alberto Rodriguez
44
181
0
14 Apr 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
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