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Interpretable Intuitive Physics Model

Interpretable Intuitive Physics Model

29 August 2018
Tian-Chun Ye
Xihuai Wang
James Davidson
Abhinav Gupta
    DRL
    AI4CE
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Papers citing "Interpretable Intuitive Physics Model"

18 / 18 papers shown
Title
T3VIP: Transformation-based 3D Video Prediction
T3VIP: Transformation-based 3D Video Prediction
Iman Nematollahi
Erick Rosete-Beas
Seyed Mahdi B. Azad
Raghunandan Rajan
Frank Hutter
Wolfram Burgard
VGen
68
1
0
19 Sep 2022
Compositional Law Parsing with Latent Random Functions
Compositional Law Parsing with Latent Random Functions
Fan Shi
Bin Li
Xiangyang Xue
CoGe
21
4
0
15 Sep 2022
Pretraining on Interactions for Learning Grounded Affordance
  Representations
Pretraining on Interactions for Learning Grounded Affordance Representations
Jack Merullo
Dylan Ebert
Carsten Eickhoff
Ellie Pavlick
26
4
0
05 Jul 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed
  Machine Learning
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng
Sungyong Seo
Defu Cao
Sam Griesemer
Yan Liu
PINN
AI4CE
56
57
0
31 Mar 2022
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
40
74
0
28 Oct 2021
Video Autoencoder: self-supervised disentanglement of static 3D
  structure and motion
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion
Zihang Lai
Sifei Liu
Alexei A. Efros
Xiaolong Wang
VGen
43
31
0
06 Oct 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis
Towards a Collective Agenda on AI for Earth Science Data Analysis
D. Tuia
R. Roscher
Jan Dirk Wegner
Nathan Jacobs
Xiaoxiang Zhu
Gustau Camps-Valls
AI4CE
44
68
0
11 Apr 2021
Grounding Physical Concepts of Objects and Events Through Dynamic Visual
  Reasoning
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Zhenfang Chen
Jiayuan Mao
Jiajun Wu
Kwan-Yee K. Wong
J. Tenenbaum
Chuang Gan
VGen
36
92
0
30 Mar 2021
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 Ma
Jitendra Malik
33
57
0
05 Aug 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
53
305
0
09 Jul 2020
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning
  Baselines
TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
Jingxiang Lin
Unnat Jain
Alex Schwing
LRM
ReLM
37
9
0
31 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi
Yuta Saito
Yunzhu Li
Pushmeet Kohli
Jiajun Wu
Antonio Torralba
J. Tenenbaum
NAI
43
457
0
03 Oct 2019
Compositional Video Prediction
Compositional Video Prediction
Yufei Ye
Maneesh Singh
Abhinav Gupta
Shubham Tulsiani
18
85
0
22 Aug 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
George Konidaris
41
356
0
06 Jul 2019
DensePhysNet: Learning Dense Physical Object Representations via
  Multi-step Dynamic Interactions
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
Zhenjia Xu
Jiajun Wu
Andy Zeng
J. Tenenbaum
Shuran Song
AI4CE
15
111
0
10 Jun 2019
From Recognition to Cognition: Visual Commonsense Reasoning
From Recognition to Cognition: Visual Commonsense Reasoning
Rowan Zellers
Yonatan Bisk
Ali Farhadi
Yejin Choi
LRM
BDL
OCL
ReLM
61
868
0
27 Nov 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
250
439
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
283
1,401
0
01 Dec 2016
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