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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
Learning Object-Centric Representations in SAR Images with Multi-Level Feature Fusion
Learning Object-Centric Representations in SAR Images with Multi-Level Feature Fusion
Oh-Tae Jang
Min-Gon Cho
Kyung-Tae Kim
OCL
253
0
0
11 Sep 2025
SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation
SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation
Diana-Nicoleta Grigore
Neelu Madan
Andreas Mogelmose
T. Moeslund
Radu Tudor Ionescu
VOSOCL
377
0
0
05 Aug 2025
CoLa: Chinese Character Decomposition with Compositional Latent Components
CoLa: Chinese Character Decomposition with Compositional Latent Components
Fan Shi
Haiyang Yu
Bin Li
Xiangyang Xue
248
2
0
04 Jun 2025
unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
Yafei Yang
Zihui Zhang
Bo Yang
OCL
299
1
0
02 Jun 2025
Efficient Object-centric Representation Learning with Pre-trained
  Geometric Prior
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
OCL
354
1
0
16 Dec 2024
Improving Viewpoint-Independent Object-Centric Representations through
  Active Viewpoint Selection
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint SelectionNeural Information Processing Systems (NeurIPS), 2024
Yinxuan Huang
Chengmin Gao
Bin Li
Xiangyang Xue
OCL
206
0
0
01 Nov 2024
Unsupervised Object Discovery: A Comprehensive Survey and Unified
  Taxonomy
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
José-Fabian Villa-Vásquez
M. Pedersoli
416
4
0
30 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World ModellingInternational Conference on Learning Representations (ICLR), 2024
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
993
1
0
28 Oct 2024
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
John Gkountouras
Matthias Lindemann
Phillip Lippe
E. Gavves
Ivan Titov
LRM
263
5
0
25 Oct 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents
Nils Grandien
Quentin Delfosse
Kristian Kersting
OffRL
438
5
0
18 Oct 2024
SlotLifter: Slot-guided Feature Lifting for Learning Object-centric
  Radiance Fields
SlotLifter: Slot-guided Feature Lifting for Learning Object-centric Radiance FieldsEuropean Conference on Computer Vision (ECCV), 2024
Yu Liu
Baoxiong Jia
Yixin Chen
Siyuan Huang
OCL
327
7
0
13 Aug 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Amir Mohammad Karimi Mamaghan
Samuele Papa
Karl Henrik Johansson
Stefan Bauer
Andrea Dittadi
OCL
669
12
0
22 Jul 2024
Attention Normalization Impacts Cardinality Generalization in Slot
  Attention
Attention Normalization Impacts Cardinality Generalization in Slot Attention
Markus Krimmel
Jan Achterhold
Joerg Stueckler
OCL
256
2
0
04 Jul 2024
Slot State Space Models
Slot State Space Models
Jindong Jiang
Fei Deng
Gautam Singh
Minseung Lee
Sungjin Ahn
511
13
0
18 Jun 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object
  Discovery
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery
Anand Gopalakrishnan
Aleksandar Stanić
Jürgen Schmidhuber
M. C. Mozer
357
8
0
27 May 2024
Parallelized Spatiotemporal Binding
Parallelized Spatiotemporal Binding
Gautam Singh
Yue Wang
Jiawei Yang
Boris Ivanovic
Sungjin Ahn
Marco Pavone
Tong Che
196
2
0
26 Feb 2024
Unsupervised Discovery of Object-Centric Neural Fields
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo
Hong-Xing Yu
Jiajun Wu
3DPCOCL
437
7
0
12 Feb 2024
Binding Dynamics in Rotating Features
Binding Dynamics in Rotating Features
Sindy Löwe
Francesco Locatello
Max Welling
OCL
203
4
0
08 Feb 2024
Neural Language of Thought Models
Neural Language of Thought Models
Yi-Fu Wu
Minseung Lee
Sungjin Ahn
MLLMVLM
350
9
0
02 Feb 2024
Explicitly Disentangled Representations in Object-Centric Learning
Explicitly Disentangled Representations in Object-Centric Learning
Riccardo Majellaro
Jonathan Collu
Aske Plaat
Thomas M. Moerland
CoGeOODOCL
426
3
0
18 Jan 2024
Unsupervised Object-Centric Learning from Multiple Unspecified
  Viewpoints
Unsupervised Object-Centric Learning from Multiple Unspecified ViewpointsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Jinyang Yuan
Tonglin Chen
Zhimeng Shen
Bin Li
Xiangyang Xue
OCL
193
4
0
03 Jan 2024
Benchmarking and Analysis of Unsupervised Object Segmentation from
  Real-world Single Images
Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single ImagesInternational Journal of Computer Vision (IJCV), 2023
Yafei Yang
Bo Yang
OCL
192
4
0
08 Dec 2023
Unsupervised Musical Object Discovery from Audio
Unsupervised Musical Object Discovery from Audio
Joonsu Gha
Vincent Herrmann
Benjamin Grewe
Jürgen Schmidhuber
Anand Gopalakrishnan
OCL
343
4
0
13 Nov 2023
Object-Centric Learning with Slot Mixture Module
Object-Centric Learning with Slot Mixture Module
Daniil E. Kirilenko
Vitaliy Vorobyov
A. Kovalev
Aleksandr I. Panov
OCL
305
6
0
08 Nov 2023
Towards Unsupervised Object Detection From LiDAR Point Clouds
Towards Unsupervised Object Detection From LiDAR Point CloudsComputer Vision and Pattern Recognition (CVPR), 2023
Lunjun Zhang
A. Yang
Yuwen Xiong
Sergio Casas
Bin Yang
Mengye Ren
R. Urtasun
3DPC
279
30
0
03 Nov 2023
OC-NMN: Object-centric Compositional Neural Module Network for
  Generative Visual Analogical Reasoning
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning
Rim Assouel
Pau Rodríguez
Perouz Taslakian
David Vazquez
Yoshua Bengio
LRMOCL
199
0
0
28 Oct 2023
Self-supervised Object-Centric Learning for Videos
Self-supervised Object-Centric Learning for VideosNeural Information Processing Systems (NeurIPS), 2023
Görkay Aydemir
Weidi Xie
Fatma Guney
OCLVOSSSL
278
40
0
10 Oct 2023
Variational Inference for Scalable 3D Object-centric Learning
Variational Inference for Scalable 3D Object-centric Learning
Tianyu Wang
K. S. Ng
Miaomiao Liu
OCLDRL3DPC
186
0
0
25 Sep 2023
Object-Centric Multiple Object Tracking
Object-Centric Multiple Object TrackingIEEE International Conference on Computer Vision (ICCV), 2023
Zixu Zhao
Jiaze Wang
Max Horn
Yizhuo Ding
Tong He
...
Bernt Schiele
Yanwei Fu
Francesco Locatello
Zheng Zhang
Tianjun Xiao
VOTOCL
351
9
0
01 Sep 2023
Additive Decoders for Latent Variables Identification and
  Cartesian-Product Extrapolation
Additive Decoders for Latent Variables Identification and Cartesian-Product ExtrapolationNeural Information Processing Systems (NeurIPS), 2023
Sébastien Lachapelle
Divyat Mahajan
Ioannis Mitliagkas
Damien Scieur
290
44
0
05 Jul 2023
OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for
  Object-Centric Learning
OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning
Yin-Tao Huang
Tonglin Chen
Zhimeng Shen
Jinghao Huang
Bin Li
Xiangyang Xue
OCL
281
2
0
16 Jun 2023
Deep Gaussian Mixture Ensembles
Deep Gaussian Mixture EnsemblesConference on Uncertainty in Artificial Intelligence (UAI), 2023
Yousef El-Laham
Niccolò Dalmasso
Elizabeth Fons
Svitlana Vyetrenko
BDLUQCV
185
4
0
12 Jun 2023
Slot-VAE: Object-Centric Scene Generation with Slot Attention
Slot-VAE: Object-Centric Scene Generation with Slot AttentionInternational Conference on Machine Learning (ICML), 2023
Yanbo Wang
Letao Liu
Justin Dauwels
OCLBDLDRL
266
24
0
12 Jun 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal
  Feature Similarities
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature SimilaritiesNeural Information Processing Systems (NeurIPS), 2023
Antonios Tragoudaras
Maximilian Seitzer
Georg Martius
OCL
436
62
0
07 Jun 2023
Cycle Consistency Driven Object Discovery
Cycle Consistency Driven Object DiscoveryInternational Conference on Learning Representations (ICLR), 2023
Aniket Didolkar
Anirudh Goyal
Yoshua Bengio
OCL
343
10
0
03 Jun 2023
Rotating Features for Object Discovery
Rotating Features for Object DiscoveryNeural Information Processing Systems (NeurIPS), 2023
Sindy Löwe
Phillip Lippe
Francesco Locatello
Max Welling
OCL
398
32
0
01 Jun 2023
Kernel Density Matrices for Probabilistic Deep Learning
Kernel Density Matrices for Probabilistic Deep LearningQuantum Machine Intelligence (QMI), 2023
Fabio A. González
Raúl Ramos-Pollán
Joseph A. Gallego-Mejia
160
5
0
26 May 2023
Revisiting Structured Variational Autoencoders
Revisiting Structured Variational AutoencodersInternational Conference on Machine Learning (ICML), 2023
Yixiu Zhao
Scott W. Linderman
BDLDRL
212
11
0
25 May 2023
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Contrastive Training of Complex-Valued Autoencoders for Object DiscoveryNeural Information Processing Systems (NeurIPS), 2023
Aleksandar Stanić
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
OCL
419
18
0
24 May 2023
Provably Learning Object-Centric Representations
Provably Learning Object-Centric RepresentationsInternational Conference on Machine Learning (ICML), 2023
Jack Brady
Roland S. Zimmermann
Yash Sharma
Bernhard Schölkopf
Julius von Kügelgen
Wieland Brendel
OCL
255
49
0
23 May 2023
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
SlotDiffusion: Object-Centric Generative Modeling with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Ziyi Wu
Jingyu Hu
Wuyue Lu
Igor Gilitschenski
Animesh Garg
DiffMOCL
402
75
0
18 May 2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box
  Optimization: Convergence Analyses and Distributed Accelerations
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed AccelerationsApplied Soft Computing (Appl. Soft Comput.), 2023
Qiqi Duan
Chang Shao
Guochen Zhou
Hao Yang
Qi Zhao
Yuhui Shi
412
6
0
11 Apr 2023
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots
Dong Lao
Zhengyang Hu
Francesco Locatello
Yanchao Yang
Stefano Soatto
OCL
373
5
0
04 Apr 2023
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric
  Learning
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric LearningComputer Vision and Pattern Recognition (CVPR), 2023
Jinwoo Kim
Janghyuk Choi
Ho-Jin Choi
Seon Joo Kim
OCLVLM
288
20
0
31 Mar 2023
Model-Based Reinforcement Learning with Isolated Imaginations
Model-Based Reinforcement Learning with Isolated ImaginationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Minting Pan
Geng Chen
Yitao Zheng
Yunbo Wang
Xiaokang Yang
346
3
0
27 Mar 2023
Neural Constraint Satisfaction: Hierarchical Abstraction for
  Combinatorial Generalization in Object Rearrangement
Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang
Alyssa Dayan
Franziska Meier
Thomas Griffiths
Sergey Levine
Amy Zhang
OCLOffRL
241
9
0
20 Mar 2023
Object-Centric Slot Diffusion
Object-Centric Slot DiffusionNeural Information Processing Systems (NeurIPS), 2023
Jindong Jiang
Fei Deng
Gautam Singh
S. Ahn
DiffMBDLOCL
639
78
0
20 Mar 2023
Reusable Slotwise Mechanisms
Reusable Slotwise MechanismsNeural Information Processing Systems (NeurIPS), 2023
Trang Nguyen
Amin Mansouri
Kanika Madan
Khuong N. Nguyen
Kartik Ahuja
Dianbo Liu
Yoshua Bengio
OCL
314
4
0
21 Feb 2023
Invariant Slot Attention: Object Discovery with Slot-Centric Reference
  Frames
Invariant Slot Attention: Object Discovery with Slot-Centric Reference FramesInternational Conference on Machine Learning (ICML), 2023
Ondrej Biza
Sjoerd van Steenkiste
Mehdi S. M. Sajjadi
Gamaleldin F. Elsayed
Aravindh Mahendran
Thomas Kipf
OCL
341
50
0
09 Feb 2023
The Learnable Typewriter: A Generative Approach to Text Analysis
The Learnable Typewriter: A Generative Approach to Text AnalysisIEEE International Conference on Document Analysis and Recognition (ICDAR), 2023
Ioannis Siglidis
Nicolas Gonthier
J. Gaubil
Tom Monnier
Mathieu Aubry
344
2
0
03 Feb 2023
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