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1806.01794
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Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
5 June 2018
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
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Papers citing
"Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects"
29 / 179 papers shown
Deep Variational Luenberger-type Observer for Stochastic Video Prediction
Dong Wang
Feng Zhou
Zheng Yan
Guang Yao
Zongxuan Liu
Wennan Ma
Cewu Lu
148
0
0
12 Feb 2020
Relational State-Space Model for Stochastic Multi-Object Systems
International Conference on Learning Representations (ICLR), 2020
Fan Yang
Ling Chen
Fan Zhou
Yusong Gao
Wei Cao
249
8
0
13 Jan 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
International Conference on Learning Representations (ICLR), 2020
Zhixuan Lin
Yi-Fu Wu
Skand Peri
Weihao Sun
Gautam Singh
Fei Deng
Jindong Jiang
Sungjin Ahn
BDL
OCL
3DPC
504
263
0
08 Jan 2020
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
Computer Vision and Pattern Recognition (CVPR), 2019
Yiyi Liao
Katja Schwarz
L. Mescheder
Andreas Geiger
3DV
211
165
0
11 Dec 2019
Towards Robust Image Classification Using Sequential Attention Models
Computer Vision and Pattern Recognition (CVPR), 2019
Daniel Zoran
Mike Chrzanowski
Po-Sen Huang
Sven Gowal
Alex Mott
Pushmeet Kohli
AAML
153
68
0
04 Dec 2019
Contrastive Learning of Structured World Models
International Conference on Learning Representations (ICLR), 2019
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
409
305
0
27 Nov 2019
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
AAAI Conference on Artificial Intelligence (AAAI), 2019
Eric Crawford
Joelle Pineau
336
67
0
20 Nov 2019
Amortized Population Gibbs Samplers with Neural Sufficient Statistics
International Conference on Machine Learning (ICML), 2019
Hao Wu
Heiko Zimmermann
Eli Sennesh
T. Le
Jan-Willem van de Meent
210
7
0
04 Nov 2019
Learning Disentangled Representations for Recommendation
Neural Information Processing Systems (NeurIPS), 2019
Jianxin Ma
Chang Zhou
Peng Cui
Hongxia Yang
Wenwu Zhu
CML
DRL
230
364
0
31 Oct 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
Rishi Veerapaneni
John D. Co-Reyes
Michael Chang
Michael Janner
Chelsea Finn
Jiajun Wu
J. Tenenbaum
Sergey Levine
OCL
OffRL
445
198
0
28 Oct 2019
R-SQAIR: Relational Sequential Attend, Infer, Repeat
Aleksandar Stanić
Jürgen Schmidhuber
172
31
0
11 Oct 2019
Structured Object-Aware Physics Prediction for Video Modeling and Planning
International Conference on Learning Representations (ICLR), 2019
Jannik Kossen
Karl Stelzner
Marcel Hussing
C. Voelcker
Kristian Kersting
OCL
226
73
0
06 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations
International Conference on Learning Representations (ICLR), 2019
Jindong Jiang
Sepehr Janghorbani
Gerard de Melo
Sungjin Ahn
OCL
DRL
427
144
0
06 Oct 2019
Enhancing Traffic Scene Predictions with Generative Adversarial Networks
International Conference on Intelligent Transportation Systems (ITSC), 2019
Peter König
Sandra Aigner
Marco Körner
88
3
0
24 Sep 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
International Conference on Learning Representations (ICLR), 2019
Martin Engelcke
Adam R. Kosiorek
Oiwi Parker Jones
Ingmar Posner
OCL
488
327
0
30 Jul 2019
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
579
14
0
12 Jul 2019
Stacked Capsule Autoencoders
Neural Information Processing Systems (NeurIPS), 2019
Adam R. Kosiorek
S. Sabour
Yee Whye Teh
Geoffrey E. Hinton
OCL
228
273
0
17 Jun 2019
Multi-objects Generation with Amortized Structural Regularization
Neural Information Processing Systems (NeurIPS), 2019
Kun Xu
Chongxuan Li
Jun Zhu
Bo Zhang
163
17
0
10 Jun 2019
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping
Adam W. Harley
S. K. Lakshmikanth
Fangyu Li
Xian Zhou
H. Tung
Katerina Fragkiadaki
SSL
350
5
0
10 Jun 2019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Neural Information Processing Systems (NeurIPS), 2019
Alex Mott
Daniel Zoran
Mike Chrzanowski
Daan Wierstra
Danilo Jimenez Rezende
282
201
0
06 Jun 2019
A Perspective on Objects and Systematic Generalization in Model-Based RL
Sjoerd van Steenkiste
Klaus Greff
Jürgen Schmidhuber
OCL
OffRL
196
31
0
03 Jun 2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Caleb Chuck
Supawit Chockchowwat
S. Niekum
180
14
0
27 May 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
International Conference on Learning Representations (ICLR), 2019
Miguel Jaques
Michael G. Burke
Timothy M. Hospedales
VGen
PINN
213
54
0
27 May 2019
On Deep Set Learning and the Choice of Aggregations
International Conference on Artificial Neural Networks (ICANN), 2019
Maximilian Sölch
A. Akhundov
Patrick van der Smagt
Justin Bayer
TDI
146
20
0
18 Mar 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Chen Sun
Per Karlsson
Jiajun Wu
J. Tenenbaum
Kevin Patrick Murphy
218
89
0
25 Feb 2019
On the Limitations of Representing Functions on Sets
E. Wagstaff
F. Fuchs
Martin Engelcke
Ingmar Posner
Michael A. Osborne
332
176
0
25 Jan 2019
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess
Loic Matthey
Nicholas Watters
Rishabh Kabra
I. Higgins
M. Botvinick
Alexander Lerchner
OCL
389
570
0
22 Jan 2019
Credit Assignment Techniques in Stochastic Computation Graphs
T. Weber
N. Heess
Lars Buesing
David Silver
166
47
0
07 Jan 2019
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
364
316
0
11 Jun 2018
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