ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.10353
  4. Cited By
Relational Neural Expectation Maximization: Unsupervised Discovery of
  Objects and their Interactions

Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions

28 February 2018
Sjoerd van Steenkiste
Michael Chang
Klaus Greff
Jürgen Schmidhuber
    BDL
    OCL
    DRL
ArXivPDFHTML

Papers citing "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions"

49 / 199 papers shown
Title
Unsupervised Object Segmentation with Explicit Localization Module
Unsupervised Object Segmentation with Explicit Localization Module
Weitang Liu
Lifeng Wei
James Sharpnack
John Douglas Owens
SSeg
4
4
0
21 Nov 2019
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Eric Crawford
Joelle Pineau
34
66
0
20 Nov 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning
Entity Abstraction in Visual Model-Based Reinforcement Learning
Rishi Veerapaneni
John D. Co-Reyes
Michael Chang
Michael Janner
Chelsea Finn
Jiajun Wu
J. Tenenbaum
Sergey Levine
OCL
OffRL
24
187
0
28 Oct 2019
Variational Tracking and Prediction with Generative Disentangled
  State-Space Models
Variational Tracking and Prediction with Generative Disentangled State-Space Models
A. Akhundov
Maximilian Soelch
Justin Bayer
Patrick van der Smagt
BDL
DRL
11
3
0
14 Oct 2019
R-SQAIR: Relational Sequential Attend, Infer, Repeat
R-SQAIR: Relational Sequential Attend, Infer, Repeat
Aleksandar Stanić
Jürgen Schmidhuber
11
30
0
11 Oct 2019
Structured Object-Aware Physics Prediction for Video Modeling and
  Planning
Structured Object-Aware Physics Prediction for Video Modeling and Planning
Jannik Kossen
Karl Stelzner
Marcel Hussing
C. Voelcker
Kristian Kersting
OCL
13
70
0
06 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations
SCALOR: Generative World Models with Scalable Object Representations
Jindong Jiang
Sepehr Janghorbani
Gerard de Melo
Sungjin Ahn
OCL
DRL
13
132
0
06 Oct 2019
CoPhy: Counterfactual Learning of Physical Dynamics
CoPhy: Counterfactual Learning of Physical Dynamics
Fabien Baradel
Natalia Neverova
J. Mille
Greg Mori
Christian Wolf
CML
AI4CE
19
97
0
26 Sep 2019
LAVAE: Disentangling Location and Appearance
LAVAE: Disentangling Location and Appearance
Andrea Dittadi
Ole Winther
OCL
BDL
DRL
12
6
0
25 Sep 2019
Recurrent Independent Mechanisms
Recurrent Independent Mechanisms
Anirudh Goyal
Alex Lamb
Jordan Hoffmann
Shagun Sodhani
Sergey Levine
Yoshua Bengio
Bernhard Schölkopf
8
334
0
24 Sep 2019
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
11
17
0
09 Sep 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric
  Latent Representations
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke
Adam R. Kosiorek
Oiwi Parker Jones
Ingmar Posner
OCL
9
304
0
30 Jul 2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction
  with Relational Reasoning
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning
F. Fuchs
Adam R. Kosiorek
Li Sun
Oiwi Parker Jones
Ingmar Posner
VOT
17
12
0
12 Jul 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL
A Perspective on Objects and Systematic Generalization in Model-Based RL
Sjoerd van Steenkiste
Klaus Greff
Jürgen Schmidhuber
OCL
OffRL
9
31
0
03 Jun 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste
Francesco Locatello
Jürgen Schmidhuber
Olivier Bachem
14
208
0
29 May 2019
Switching Linear Dynamics for Variational Bayes Filtering
Switching Linear Dynamics for Variational Bayes Filtering
Philip Becker-Ehmck
Jan Peters
Patrick van der Smagt
BDL
15
46
0
29 May 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement
  Learning
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning
Caleb Chuck
Supawit Chockchowwat
S. Niekum
11
14
0
27 May 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation
  from Video
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
Miguel Jaques
Michael G. Burke
Timothy M. Hospedales
VGen
PINN
13
44
0
27 May 2019
Unsupervised Intuitive Physics from Past Experiences
Unsupervised Intuitive Physics from Past Experiences
Sébastien Ehrhardt
Áron Monszpart
Niloy J. Mitra
Andrea Vedaldi
OOD
PINN
AI4CE
SSL
27
2
0
26 May 2019
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction
  Networks
Adding Intuitive Physics to Neural-Symbolic Capsules Using Interaction Networks
Michael D Kissner
Helmut A. Mayer
OCL
PINN
8
2
0
23 May 2019
Factorised Neural Relational Inference for Multi-Interaction Systems
Factorised Neural Relational Inference for Multi-Interaction Systems
Ezra Webb
Ben Day
Helena Andrés-Terré
Pietro Lió
AI4CE
GNN
14
29
0
21 May 2019
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
Yuhang Song
Jianyi Wang
Thomas Lukasiewicz
Zhenghua Xu
Shangtong Zhang
Andrzej Wojcicki
Mai Xu
LRM
14
15
0
12 May 2019
Time-Series Event Prediction with Evolutionary State Graph
Time-Series Event Prediction with Evolutionary State Graph
Wenjie Hu
Yang Yang
Zilong You
Zongtao Liu
Xiang Ren
AI4TS
12
1
0
10 May 2019
Graph Element Networks: adaptive, structured computation and memory
Graph Element Networks: adaptive, structured computation and memory
Ferran Alet
Adarsh K. Jeewajee
Maria Bauzá
Alberto Rodriguez
Tomas Lozano-Perez
L. Kaelbling
AI4CE
GNN
19
74
0
18 Apr 2019
Object-Oriented Dynamics Learning through Multi-Level Abstraction
Object-Oriented Dynamics Learning through Multi-Level Abstraction
Guangxiang Zhu
Jianhao Wang
Zhizhou Ren
Zichuan Lin
Chongjie Zhang
AI4CE
22
5
0
16 Apr 2019
Structured agents for physical construction
Structured agents for physical construction
V. Bapst
Alvaro Sanchez-Gonzalez
Carl Doersch
Kimberly L. Stachenfeld
Pushmeet Kohli
Peter W. Battaglia
Jessica B. Hamrick
AI4CE
16
99
0
05 Apr 2019
Unsupervised Discovery of Parts, Structure, and Dynamics
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu
Zhijian Liu
Chen Sun
Kevin Patrick Murphy
William T. Freeman
J. Tenenbaum
Jiajun Wu
OCL
22
61
0
12 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using
  Gradient-based Attribution Method
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method
Shangsheng Xie
Mingming Lu
FAtt
GNN
23
16
0
09 Mar 2019
Joint Perception and Control as Inference with an Object-based
  Implementation
Joint Perception and Control as Inference with an Object-based Implementation
Minne Li
Zheng Tian
Pranav Nashikkar
Ian Davies
Ying Wen
Jun Wang
14
2
0
04 Mar 2019
Multi-Object Representation Learning with Iterative Variational
  Inference
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCL
SSL
11
499
0
01 Mar 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Graph Neural Processes: Towards Bayesian Graph Neural Networks
Andrew N. Carr
David Wingate
BDL
15
12
0
26 Feb 2019
Stochastic Prediction of Multi-Agent Interactions from Partial
  Observations
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Chen Sun
Per Karlsson
Jiajun Wu
J. Tenenbaum
Kevin Patrick Murphy
17
89
0
25 Feb 2019
Unsupervised Grounding of Plannable First-Order Logic Representation
  from Images
Unsupervised Grounding of Plannable First-Order Logic Representation from Images
Masataro Asai
NAI
6
58
0
21 Feb 2019
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal
  Attention Model
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model
Sirin Haddad
Meiqing Wu
He Wei
S. Lam
21
56
0
13 Feb 2019
Spatial Mixture Models with Learnable Deep Priors for Perceptual
  Grouping
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
Jinyang Yuan
Bin Li
Xiangyang Xue
OCL
8
11
0
07 Feb 2019
MONet: Unsupervised Scene Decomposition and Representation
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess
Loic Matthey
Nicholas Watters
Rishabh Kabra
I. Higgins
M. Botvinick
Alexander Lerchner
OCL
11
515
0
22 Jan 2019
Reasoning About Physical Interactions with Object-Oriented Prediction
  and Planning
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Michael Janner
Sergey Levine
William T. Freeman
J. Tenenbaum
Chelsea Finn
Jiajun Wu
OCL
17
129
0
28 Dec 2018
Modular meta-learning in abstract graph networks for combinatorial
  generalization
Modular meta-learning in abstract graph networks for combinatorial generalization
Ferran Alet
Maria Bauzá
Alberto Rodriguez
Tomas Lozano-Perez
L. Kaelbling
GNN
6
3
0
19 Dec 2018
Investigating Object Compositionality in Generative Adversarial Networks
Investigating Object Compositionality in Generative Adversarial Networks
Sjoerd van Steenkiste
Karol Kurach
Jürgen Schmidhuber
Sylvain Gelly
GAN
OCL
19
20
0
17 Oct 2018
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
14
387
0
03 Oct 2018
Neural Allocentric Intuitive Physics Prediction from Real Videos
Neural Allocentric Intuitive Physics Prediction from Real Videos
Zhihua Wang
Stefano Rosa
Yishu Miao
Zihang Lai
Linhai Xie
Andrew Markham
A. Trigoni
8
1
0
07 Sep 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas L. Griffiths
11
68
0
12 Jul 2018
Object Level Visual Reasoning in Videos
Object Level Visual Reasoning in Videos
Fabien Baradel
Natalia Neverova
Christian Wolf
J. Mille
Greg Mori
22
163
0
16 Jun 2018
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
127
305
0
11 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
6
256
0
05 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
54
3,076
0
04 Jun 2018
Object-Oriented Dynamics Predictor
Object-Oriented Dynamics Predictor
Guangxiang Zhu
Zhiao Huang
Chongjie Zhang
AI4CE
11
36
0
25 May 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
236
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
258
1,400
0
01 Dec 2016
Previous
1234