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Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable
  Objects, and Fluids

Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

3 October 2018
Yunzhu Li
Jiajun Wu
Russ Tedrake
J. Tenenbaum
Antonio Torralba
    PINN
    AI4CE
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Papers citing "Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids"

17 / 67 papers shown
Title
Learning Latent Graph Dynamics for Visual Manipulation of Deformable
  Objects
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
Xiao Ma
David Hsu
W. Lee
AI4CE
30
28
0
25 Apr 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
30
23
0
17 Mar 2021
Teaching the Incompressible Navier-Stokes Equations to Fast Neural
  Surrogate Models in 3D
Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D
Nils Wandel
Michael Weinmann
Reinhard Klein
AI4CE
21
50
0
22 Dec 2020
LCollision: Fast Generation of Collision-Free Human Poses using Learned
  Non-Penetration Constraints
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints
Qingyang Tan
Zherong Pan
Dinesh Manocha
3DH
24
10
0
06 Nov 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
35
303
0
09 Jul 2020
Learning Physical Constraints with Neural Projections
Learning Physical Constraints with Neural Projections
Shuqi Yang
Xingzhe He
Bo Zhu
3DV
AI4CE
20
25
0
23 Jun 2020
Learning Physical Graph Representations from Visual Scenes
Learning Physical Graph Representations from Visual Scenes
Daniel M. Bear
Chaofei Fan
Damian Mrowca
Yunzhu Li
S. Alter
...
Jeremy Schwartz
Li Fei-Fei
Jiajun Wu
J. Tenenbaum
Daniel L. K. Yamins
SSL
GNN
SSeg
AI4CE
37
79
0
22 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential
  Equations
Multipole Graph Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
10
371
0
16 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
26
459
0
18 May 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
51
1,046
0
21 Feb 2020
Model-free vision-based shaping of deformable plastic materials
Model-free vision-based shaping of deformable plastic materials
A. Cherubini
V. Ortenzi
Akansel Cosgun
Robert Lee
Peter Corke
14
37
0
30 Jan 2020
Learning to Control PDEs with Differentiable Physics
Learning to Control PDEs with Differentiable Physics
Philipp Holl
V. Koltun
Nils Thuerey
AI4CE
PINN
30
185
0
21 Jan 2020
Belief Regulated Dual Propagation Nets for Learning Action Effects on
  Groups of Articulated Objects
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
A Review of Robot Learning for Manipulation: Challenges,
  Representations, and Algorithms
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer
S. Niekum
G. Konidaris
22
355
0
06 Jul 2019
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck
D. Fox
PINN
3DPC
AI4CE
169
161
0
15 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
438
0
01 Dec 2016
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
278
1,400
0
01 Dec 2016
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