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Neural Expectation Maximization
v1v2 (latest)

Neural Expectation Maximization

Neural Information Processing Systems (NeurIPS), 2017
11 August 2017
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
    OCL
ArXiv (abs)PDFHTML

Papers citing "Neural Expectation Maximization"

50 / 188 papers shown
Title
Causal Triplet: An Open Challenge for Intervention-centric Causal
  Representation Learning
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation LearningCLEaR (CLEaR), 2023
Yuejiang Liu
Alexandre Alahi
Chris Russell
Max Horn
Dominik Zietlow
Bernhard Schölkopf
Francesco Locatello
CML
211
27
0
12 Jan 2023
Annotated History of Modern AI and Deep Learning
Annotated History of Modern AI and Deep Learning
Juergen Schmidhuber
MLAUAI4TSAI4CE
168
43
0
21 Dec 2022
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know
  How to Reason?
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?IEEE Access (IEEE Access), 2022
Monika Wysoczañska
Tom Monnier
Tomasz Trzciñski
David Picard
ReLMOCL
156
1
0
20 Dec 2022
Compositional Scene Modeling with Global Object-Centric Representations
Compositional Scene Modeling with Global Object-Centric RepresentationsMachine-mediated learning (ML), 2022
Tonglin Chen
Bin Li
Zhimeng Shen
Xiangyang Xue
OCL
242
3
0
21 Nov 2022
Dance of SNN and ANN: Solving binding problem by combining spike timing
  and reconstructive attention
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attentionNeural Information Processing Systems (NeurIPS), 2022
Hao Zheng
Hui Lin
Rong Zhao
Luping Shi
127
6
0
11 Nov 2022
Neural Systematic Binder
Neural Systematic BinderInternational Conference on Learning Representations (ICLR), 2022
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
349
42
0
02 Nov 2022
Search for Concepts: Discovering Visual Concepts Using Direct
  Optimization
Search for Concepts: Discovering Visual Concepts Using Direct Optimization
P. Reddy
Paul Guerrero
Niloy J. Mitra
OCL
127
4
0
25 Oct 2022
Improving Object-centric Learning with Query Optimization
Improving Object-centric Learning with Query OptimizationInternational Conference on Learning Representations (ICLR), 2022
Baoxiong Jia
Yu Liu
Siyuan Huang
OCL
213
61
0
17 Oct 2022
Effectiveness of the Recent Advances in Capsule Networks
Effectiveness of the Recent Advances in Capsule Networks
Nidhin Harilal
Rohan Patil
115
0
0
11 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based
  Models
Robust and Controllable Object-Centric Learning through Energy-based ModelsInternational Conference on Learning Representations (ICLR), 2022
Ruixiang Zhang
Tong Che
Boris Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
270
9
0
11 Oct 2022
Promising or Elusive? Unsupervised Object Segmentation from Real-world
  Single Images
Promising or Elusive? Unsupervised Object Segmentation from Real-world Single ImagesNeural Information Processing Systems (NeurIPS), 2022
Yafei Yang
Bo Yang
OCL
260
20
0
05 Oct 2022
Compositional Law Parsing with Latent Random Functions
Compositional Law Parsing with Latent Random FunctionsInternational Conference on Learning Representations (ICLR), 2022
Fan Shi
Bin Li
Xiangyang Xue
CoGe
185
5
0
15 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World
  Survival Game Crafter
Learning to Generalize with Object-centric Agents in the Open World Survival Game CrafterIEEE Transactions on Games (IEEE Trans. Games), 2022
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
190
14
0
05 Aug 2022
Neural Groundplans: Persistent Neural Scene Representations from a
  Single Image
Neural Groundplans: Persistent Neural Scene Representations from a Single ImageInternational Conference on Learning Representations (ICLR), 2022
Prafull Sharma
A. Tewari
Yilun Du
Sergey Zakharov
Rares Andrei Ambrus
Adrien Gaidon
William T. Freeman
F. Durand
J. Tenenbaum
Vincent Sitzmann
SSLOCL
190
17
0
22 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit DifferentiationNeural Information Processing Systems (NeurIPS), 2022
Michael Chang
Thomas Griffiths
Sergey Levine
OCL
293
66
0
02 Jul 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World
  Videos
SAVi++: Towards End-to-End Object-Centric Learning from Real-World VideosNeural Information Processing Systems (NeurIPS), 2022
Gamaleldin F. Elsayed
Aravindh Mahendran
Sjoerd van Steenkiste
Klaus Greff
Michael C. Mozer
Thomas Kipf
VOSOCL
317
167
0
15 Jun 2022
ObPose: Leveraging Pose for Object-Centric Scene Inference and
  Generation in 3D
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D
Yizhe Wu
Oiwi Parker Jones
Ingmar Posner
OCLBDL
220
2
0
07 Jun 2022
Learning with Capsules: A Survey
Learning with Capsules: A Survey
Fabio De Sousa Ribeiro
Kevin Duarte
Miles Everett
Georgios Leontidis
M. Shah
3DPCMedIm
253
21
0
06 Jun 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic
  Videos
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic VideosNeural Information Processing Systems (NeurIPS), 2022
Gautam Singh
Yi-Fu Wu
Sungjin Ahn
OCL
355
145
0
27 May 2022
Unsupervised Discovery and Composition of Object Light Fields
Unsupervised Discovery and Composition of Object Light Fields
Cameron Smith
Hong-Xing Yu
Sergey Zakharov
F. Durand
J. Tenenbaum
Jiajun Wu
Vincent Sitzmann
OCL
183
30
0
08 May 2022
Inductive Biases for Object-Centric Representations in the Presence of
  Complex Textures
Inductive Biases for Object-Centric Representations in the Presence of Complex Textures
Samuele Papa
Ole Winther
Andrea Dittadi
OCL
313
15
0
18 Apr 2022
Complex-Valued Autoencoders for Object Discovery
Complex-Valued Autoencoders for Object Discovery
Sindy Löwe
Phillip Lippe
Maja R. Rudolph
Max Welling
BDLOCL
363
44
0
05 Apr 2022
Unsupervised Learning of Temporal Abstractions with Slot-based
  Transformers
Unsupervised Learning of Temporal Abstractions with Slot-based TransformersNeural Computation (Neural Comput.), 2022
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
Sjoerd van Steenkiste
OffRL
315
17
0
25 Mar 2022
PartAfford: Part-level Affordance Discovery from 3D Objects
PartAfford: Part-level Affordance Discovery from 3D Objects
Chao Xu
Yixin Chen
He Wang
Song-Chun Zhu
Yixin Zhu
Siyuan Huang
222
35
0
28 Feb 2022
Neural NID Rules
Neural NID Rules
Luca Viano
Johanni Brea
NAIAI4CE
164
0
0
12 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic
  Programming
VAEL: Bridging Variational Autoencoders and Probabilistic Logic ProgrammingNeural Information Processing Systems (NeurIPS), 2022
Eleonora Misino
G. Marra
Emanuele Sansone
252
29
0
07 Feb 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and
  Link Prediction
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link PredictionNeural Networks (NN), 2022
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
207
56
0
02 Feb 2022
Competing Mutual Information Constraints with Stochastic
  Competition-based Activations for Learning Diversified Representations
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2022
Konstantinos P. Panousis
A. Antoniadis
S. Chatzis
229
5
0
10 Jan 2022
EM-driven unsupervised learning for efficient motion segmentation
EM-driven unsupervised learning for efficient motion segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
E. Meunier
A. Badoual
P. Bouthemy
287
47
0
06 Jan 2022
Object Pursuit: Building a Space of Objects via Discriminative Weight
  Generation
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan
Yanchao Yang
Kaichun Mo
Yueqi Duan
Leonidas Guibas
OCL
111
1
0
15 Dec 2021
Unsupervised Learning of Compositional Scene Representations from
  Multiple Unspecified Viewpoints
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints
Jinyang Yuan
Bin Li
Xiangyang Xue
CoGeOCL
182
12
0
07 Dec 2021
Conditional Object-Centric Learning from Video
Conditional Object-Centric Learning from Video
Thomas Kipf
Gamaleldin F. Elsayed
Aravindh Mahendran
Austin Stone
S. Sabour
G. Heigold
Rico Jonschkowski
Alexey Dosovitskiy
Klaus Greff
OCL
303
252
0
24 Nov 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object
  Segmentation
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
Laurynas Karazija
Iro Laina
Christian Rupprecht
3DVVOS
274
99
0
19 Nov 2021
Learning Object-Centric Representations of Multi-Object Scenes from
  Multiple Views
Learning Object-Centric Representations of Multi-Object Scenes from Multiple ViewsNeural Information Processing Systems (NeurIPS), 2021
Nanbo Li
Cian Eastwood
Robert B. Fisher
OCL
245
59
0
13 Nov 2021
Object-Centric Representation Learning with Generative Spatial-Temporal
  Factorization
Object-Centric Representation Learning with Generative Spatial-Temporal FactorizationNeural Information Processing Systems (NeurIPS), 2021
Nanbo Li
Muhammad Ahmed Raza
Wenbin Hu
Zhaole Sun
Robert B. Fisher
OCL
117
15
0
09 Nov 2021
Unsupervised Learning of Compositional Energy Concepts
Unsupervised Learning of Compositional Energy ConceptsNeural Information Processing Systems (NeurIPS), 2021
Yilun Du
Shuang Li
Yash Sharma
J. Tenenbaum
Igor Mordatch
CoGeOCL
225
83
0
04 Nov 2021
Unsupervised Foreground Extraction via Deep Region Competition
Unsupervised Foreground Extraction via Deep Region CompetitionNeural Information Processing Systems (NeurIPS), 2021
Peiyu Yu
Sirui Xie
Xiaojian Ma
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
OCL
255
44
0
29 Oct 2021
Illiterate DALL-E Learns to Compose
Illiterate DALL-E Learns to Compose
Gautam Singh
Fei Deng
Sungjin Ahn
CoGeOCL
306
161
0
17 Oct 2021
Unsupervised Object Learning via Common Fate
Unsupervised Object Learning via Common Fate
Matthias Tangemann
Steffen Schneider
Julius von Kügelgen
Francesco Locatello
Peter V. Gehler
Thomas Brox
Matthias Kümmerer
Matthias Bethge
Bernhard Schölkopf
OCL
202
27
0
13 Oct 2021
Fitting large mixture models using stochastic component selection
Fitting large mixture models using stochastic component selection
Milan Papez
Tomás Pevný
Václav Smídl
95
0
0
10 Oct 2021
Online Unsupervised Learning of Visual Representations and Categories
Online Unsupervised Learning of Visual Representations and Categories
Mengye Ren
Tyler R. Scott
Michael L. Iuzzolino
Michael C. Mozer
R. Zemel
OCLSSL
292
5
0
13 Sep 2021
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?International Conference on Learning Representations (ICLR), 2021
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
235
165
0
09 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable
  Subgoals
Self-supervised Reinforcement Learning with Independently Controllable SubgoalsConference on Robot Learning (CoRL), 2021
Antonios Tragoudaras
Georg Martius
Fanny Yang
SSL
196
18
0
09 Sep 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples
  in Pedestrian Trajectory Prediction
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
Patrick Dendorfer
Sven Elflein
Laura Leal-Taixé
136
129
0
20 Aug 2021
Generative Video Transformer: Can Objects be the Words?
Generative Video Transformer: Can Objects be the Words?International Conference on Machine Learning (ICML), 2021
Yi-Fu Wu
Jaesik Yoon
Sungjin Ahn
ViT
242
34
0
20 Jul 2021
Structured World Belief for Reinforcement Learning in POMDP
Structured World Belief for Reinforcement Learning in POMDPInternational Conference on Machine Learning (ICML), 2021
Gautam Singh
Skand Peri
Junghyun Kim
Hyunseok Kim
Sungjin Ahn
OCL
163
31
0
19 Jul 2021
Unsupervised Discovery of Object Radiance Fields
Unsupervised Discovery of Object Radiance FieldsInternational Conference on Learning Representations (ICLR), 2021
Hong-Xing Yu
Leonidas Guibas
Jiajun Wu
OCL
228
127
0
16 Jul 2021
Physics-informed generative neural network: an application to
  troposphere temperature prediction
Physics-informed generative neural network: an application to troposphere temperature predictionEnvironmental Research Letters (ERL), 2021
Zhihao Chen
Zhi-Xuan Liu
Weikai Wang
Zheng Yan
AI4CE
129
22
0
08 Jul 2021
Neural Mixture Models with Expectation-Maximization for End-to-end Deep
  Clustering
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering
Dumindu Tissera
Kasun Vithanage
Rukshan Wijesinghe
A. Xavier
Sanath Jayasena
Subha Fernando
Ranga Rodrigo
FedML
98
5
0
06 Jul 2021
Generalization and Robustness Implications in Object-Centric Learning
Generalization and Robustness Implications in Object-Centric Learning
Andrea Dittadi
Samuele Papa
Michele De Vita
Bernhard Schölkopf
Ole Winther
Francesco Locatello
OCLOOD
258
80
0
01 Jul 2021
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