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

50 / 199 papers shown
Title
Self-Growing Spatial Graph Network for Context-Aware Pedestrian
  Trajectory Prediction
Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
Sirin Haddad
S. Lam
GNN
14
8
0
11 Dec 2020
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
254
0
09 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal
Yoshua Bengio
AI4CE
13
344
0
30 Nov 2020
Unsupervised part representation by Flow Capsules
Unsupervised part representation by Flow Capsules
S. Sabour
Andrea Tagliasacchi
S. Yazdani
Geoffrey E. Hinton
David J. Fleet
3DPC
OCL
22
37
0
27 Nov 2020
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Anand Gopalakrishnan
Sjoerd van Steenkiste
Jürgen Schmidhuber
SSL
15
21
0
25 Nov 2020
Learning Object-Centric Video Models by Contrasting Sets
Learning Object-Centric Video Models by Contrasting Sets
Sindy Lowe
Klaus Greff
Rico Jonschkowski
Alexey Dosovitskiy
Thomas Kipf
SSL
OCL
9
24
0
20 Nov 2020
Generative Neurosymbolic Machines
Generative Neurosymbolic Machines
Jindong Jiang
Sungjin Ahn
BDL
OCL
211
68
0
23 Oct 2020
Hierarchical Relational Inference
Hierarchical Relational Inference
Aleksandar Stanić
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
14
15
0
07 Oct 2020
Improving Generative Imagination in Object-Centric World Models
Improving Generative Imagination in Object-Centric World Models
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Bofeng Fu
Jindong Jiang
Sungjin Ahn
OCL
6
79
0
05 Oct 2020
Latent State Inference in a Spatiotemporal Generative Model
Latent State Inference in a Spatiotemporal Generative Model
Matthias Karlbauer
Tobias Menge
S. Otte
Hendrik P. A. Lensch
Thomas Scholten
V. Wulfmeyer
Martin Volker Butz
12
1
0
21 Sep 2020
Understanding Boolean Function Learnability on Deep Neural Networks: PAC
  Learning Meets Neurosymbolic Models
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
Márcio Nicolau
Anderson R. Tavares
Zhiwei Zhang
Pedro H. C. Avelar
J. Flach
Luís C. Lamb
Moshe Y. Vardi
NAI
25
2
0
13 Sep 2020
A Neural-Symbolic Framework for Mental Simulation
A Neural-Symbolic Framework for Mental Simulation
Michael D Kissner
12
0
0
05 Aug 2020
PDE-Driven Spatiotemporal Disentanglement
PDE-Driven Spatiotemporal Disentanglement
Jérémie Donà
Jean-Yves Franceschi
Sylvain Lamprier
Patrick Gallinari
OOD
DRL
8
27
0
04 Aug 2020
Unsupervised Discovery of 3D Physical Objects from Video
Unsupervised Discovery of 3D Physical Objects from Video
Yilun Du
Kevin A. Smith
Tomer Ulman
J. Tenenbaum
Jiajun Wu
OCL
105
37
0
24 Jul 2020
Slot Contrastive Networks: A Contrastive Approach for Representing
  Objects
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Evan Racah
Sarath Chandar
OCL
DRL
19
14
0
18 Jul 2020
Reconstruction Bottlenecks in Object-Centric Generative Models
Reconstruction Bottlenecks in Object-Centric Generative Models
Martin Engelcke
Oiwi Parker Jones
Ingmar Posner
OCL
27
24
0
13 Jul 2020
Learning intuitive physics and one-shot imitation using
  state-action-prediction self-organizing maps
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
M. Stetter
E. Lang
SSL
AI4CE
6
0
0
03 Jul 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using
  Structured Latent Spaces
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
Sébastien Ehrhardt
Oliver Groth
Áron Monszpart
Martin Engelcke
Ingmar Posner
Niloy Mitra
Andrea Vedaldi
3DPC
13
54
0
02 Jul 2020
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural
  Networks with Attention over Modules
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
Sarthak Mittal
Alex Lamb
Anirudh Goyal
Vikram S. Voleti
Murray Shanahan
Guillaume Lajoie
Michael C. Mozer
Yoshua Bengio
6
62
0
30 Jun 2020
Model-based Reinforcement Learning: A Survey
Model-based Reinforcement Learning: A Survey
Thomas M. Moerland
Joost Broekens
Aske Plaat
Catholijn M. Jonker
OffRL
17
47
0
30 Jun 2020
Object Files and Schemata: Factorizing Declarative and Procedural
  Knowledge in Dynamical Systems
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
Anirudh Goyal
Alex Lamb
Phanideep Gampa
Philippe Beaudoin
Sergey Levine
Charles Blundell
Yoshua Bengio
Michael C. Mozer
OCL
14
70
0
29 Jun 2020
Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
21
817
0
26 Jun 2020
Unsupervised Video Decomposition using Spatio-temporal Iterative
  Inference
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference
Polina Zablotskaia
E. Dominici
Leonid Sigal
Andreas M. Lehrmann
OCL
19
19
0
25 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
35
78
0
22 Jun 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from
  Time-Series Data
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Sindy Lowe
David Madras
R. Zemel
Max Welling
CML
BDL
AI4TS
6
125
0
18 Jun 2020
Forward Prediction for Physical Reasoning
Forward Prediction for Physical Reasoning
Rohit Girdhar
Laura Gustafson
Aaron B. Adcock
L. V. D. van der Maaten
LRM
AI4CE
25
20
0
18 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
45
663
0
18 Jun 2020
Alternating ConvLSTM: Learning Force Propagation with Alternate State
  Updates
Alternating ConvLSTM: Learning Force Propagation with Alternate State Updates
Congyue Deng
Tai-Jiang Mu
Shimin Hu
13
4
0
14 Jun 2020
Occlusion resistant learning of intuitive physics from videos
Occlusion resistant learning of intuitive physics from videos
Ronan Riochet
Josef Sivic
Ivan Laptev
Emmanuel Dupoux
PINN
16
6
0
30 Apr 2020
Towards causal generative scene models via competition of experts
Towards causal generative scene models via competition of experts
Julius von Kügelgen
Ivan Ustyuzhaninov
Peter V. Gehler
Matthias Bethge
Bernhard Schölkopf
OCL
3DV
6
51
0
27 Apr 2020
Learning to Manipulate Individual Objects in an Image
Learning to Manipulate Individual Objects in an Image
Yanchao Yang
Yutong Chen
Stefano Soatto
OCL
11
37
0
11 Apr 2020
A Review on Deep Learning Techniques for Video Prediction
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
27
250
0
10 Apr 2020
Disassembling Object Representations without Labels
Disassembling Object Representations without Labels
Zunlei Feng
Xinchao Wang
Yongming He
Yike Yuan
Xin Gao
Mingli Song
OCL
6
0
0
03 Apr 2020
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from
  a Single RGB Image
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
Despoina Paschalidou
Luc van Gool
Andreas Geiger
3DV
OCL
19
107
0
02 Apr 2020
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational
  Reasoning
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
Jiachen Li
Fan Yang
M. Tomizuka
Chiho Choi
AI4CE
9
12
0
31 Mar 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
78
288
0
03 Mar 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and
  Perspective
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luís C. Lamb
Artur S. dÁvila Garcez
Marco Gori
Marcelo O. R. Prates
Pedro H. C. Avelar
Moshe Y. Vardi
NAI
AI4CE
25
78
0
29 Feb 2020
Stochastic Latent Residual Video Prediction
Stochastic Latent Residual Video Prediction
Jean-Yves Franceschi
E. Delasalles
Mickaël Chen
Sylvain Lamprier
Patrick Gallinari
VGen
26
159
0
21 Feb 2020
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
Bingbin Liu
Ehsan Adeli
Zhangjie Cao
Kuan-Hui Lee
Abhijeet Shenoi
Adrien Gaidon
Juan Carlos Niebles
14
150
0
20 Feb 2020
Investigating Simple Object Representations in Model-Free Deep
  Reinforcement Learning
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning
Guy Davidson
Brenden Lake
OCL
OffRL
9
10
0
16 Feb 2020
Cut-Based Graph Learning Networks to Discover Compositional Structure of
  Sequential Video Data
Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data
Kyoung-Woon On
Eun-Sol Kim
Y. Heo
Byoung-Tak Zhang
BDL
8
6
0
17 Jan 2020
Predicting the Physical Dynamics of Unseen 3D Objects
Predicting the Physical Dynamics of Unseen 3D Objects
Davis Rempe
Srinath Sridhar
He-Nan Wang
Leonidas J. Guibas
AI4CE
6
8
0
16 Jan 2020
Relational State-Space Model for Stochastic Multi-Object Systems
Relational State-Space Model for Stochastic Multi-Object Systems
Fan Yang
Ling Chen
Fan Zhou
Yusong Gao
Wei Cao
12
8
0
13 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy
  and simplicity in machine learning
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
6
1
0
11 Jan 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial
  Attention and Decomposition
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Weihao Sun
Gautam Singh
Fei Deng
Jindong Jiang
Sungjin Ahn
BDL
OCL
3DPC
6
246
0
08 Jan 2020
Discovering Nonlinear Relations with Minimum Predictive Information
  Regularization
Discovering Nonlinear Relations with Minimum Predictive Information Regularization
Tailin Wu
Thomas Breuel
M. Skuhersky
Jan Kautz
AI4TS
12
27
0
07 Jan 2020
Deep Iterative and Adaptive Learning for Graph Neural Networks
Deep Iterative and Adaptive Learning for Graph Neural Networks
Yu Chen
Lingfei Wu
Mohammed J. Zaki
GNN
11
46
0
17 Dec 2019
Towards Unsupervised Learning of Generative Models for 3D Controllable
  Image Synthesis
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
Yiyi Liao
Katja Schwarz
L. Mescheder
Andreas Geiger
3DV
23
158
0
11 Dec 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
6
278
0
27 Nov 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature
  Relations
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations
Chen Wang
Chengyuan Deng
Vladimir A. Ivanov
GNN
DRL
19
6
0
27 Nov 2019
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