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Object and Relation Centric Representations for Push Effect Prediction

Object and Relation Centric Representations for Push Effect Prediction

3 February 2021
Ahmet E. Tekden
Aykut Erdem
Erkut Erdem
Tamim Asfour
Emre Ugur
ArXivPDFHTML

Papers citing "Object and Relation Centric Representations for Push Effect Prediction"

4 / 4 papers shown
Title
Learning Models as Functionals of Signed-Distance Fields for
  Manipulation Planning
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
Danny Driess
Jung-Su Ha
Marc Toussaint
Russ Tedrake
100
63
0
02 Oct 2021
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
226
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
252
1,394
0
01 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
188
7,816
0
13 Jun 2015
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