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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
ArXivPDFHTML

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

50 / 199 papers shown
Title
SPARTAN: A Sparse Transformer Learning Local Causation
SPARTAN: A Sparse Transformer Learning Local Causation
Anson Lei
Bernhard Schölkopf
Ingmar Posner
30
2
0
11 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
34
1
0
30 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
28
0
0
25 Oct 2024
Learning Disentangled Representation in Object-Centric Models for Visual
  Dynamics Prediction via Transformers
Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
Sanket Gandhi
Atul
Samanyu Mahajan
Vishal Sharma
Rushil Gupta
Arnab Kumar Mondal
Parag Singla
ViT
OCL
40
0
0
03 Jul 2024
Slot State Space Models
Slot State Space Models
Jindong Jiang
Fei Deng
Gautam Singh
Minseung Lee
Sungjin Ahn
39
4
0
18 Jun 2024
Compete and Compose: Learning Independent Mechanisms for Modular World
  Models
Compete and Compose: Learning Independent Mechanisms for Modular World Models
Anson Lei
Frederik Nolte
Bernhard Schölkopf
Ingmar Posner
OffRL
24
2
0
23 Apr 2024
STEMFold: Stochastic Temporal Manifold for Multi-Agent Interactions in
  the Presence of Hidden Agents
STEMFold: Stochastic Temporal Manifold for Multi-Agent Interactions in the Presence of Hidden Agents
Hemant Kumawat
Biswadeep Chakraborty
Saibal Mukhopadhyay
AI4CE
13
3
0
25 Jan 2024
Explicitly Disentangled Representations in Object-Centric Learning
Explicitly Disentangled Representations in Object-Centric Learning
Riccardo Majellaro
Jonathan Collu
Aske Plaat
Thomas M. Moerland
CoGe
OOD
OCL
63
1
0
18 Jan 2024
Slot Structured World Models
Slot Structured World Models
Jonathan Collu
Riccardo Majellaro
Aske Plaat
Thomas M. Moerland
OCL
10
1
0
08 Jan 2024
Unsupervised Object-Centric Learning from Multiple Unspecified
  Viewpoints
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints
Jinyang Yuan
Tonglin Chen
Zhimeng Shen
Bin Li
Xiangyang Xue
OCL
18
2
0
03 Jan 2024
Unsupervised Musical Object Discovery from Audio
Unsupervised Musical Object Discovery from Audio
Joonsu Gha
Vincent Herrmann
Benjamin Grewe
Jürgen Schmidhuber
Anand Gopalakrishnan
OCL
38
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
31
3
0
08 Nov 2023
Towards Unsupervised Object Detection From LiDAR Point Clouds
Towards Unsupervised Object Detection From LiDAR Point Clouds
Lunjun Zhang
A. Yang
Yuwen Xiong
Sergio Casas
Bin Yang
Mengye Ren
R. Urtasun
3DPC
66
20
0
03 Nov 2023
RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence
  Learning
RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning
Ziyu Wang
Wenhao Jiang
Zixuan Zhang
Wei Tang
Junchi Yan
8
0
0
03 Nov 2023
Object-centric architectures enable efficient causal representation
  learning
Object-centric architectures enable efficient causal representation learning
Amin Mansouri
Jason S. Hartford
Yan Zhang
Yoshua Bengio
CML
OCL
OOD
21
15
0
29 Oct 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
LRM
OCL
11
0
0
28 Oct 2023
Inferring Relational Potentials in Interacting Systems
Inferring Relational Potentials in Interacting Systems
Armand Comas Massagu´e
Yilun Du
Christian Fernández
S. Ghimire
M. Sznaier
J. Tenenbaum
Octavia Camps
19
4
0
23 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
45
55
0
10 Oct 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal
  Feature Similarities
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
OCL
20
38
0
07 Jun 2023
Systematic Visual Reasoning through Object-Centric Relational
  Abstraction
Systematic Visual Reasoning through Object-Centric Relational Abstraction
Taylor W. Webb
S. S. Mondal
Jonathan D. Cohen
OCL
28
23
0
04 Jun 2023
Revisiting Structured Variational Autoencoders
Revisiting Structured Variational Autoencoders
Yixiu Zhao
Scott W. Linderman
BDL
DRL
22
8
0
25 May 2023
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Contrastive Training of Complex-Valued Autoencoders for Object Discovery
Aleksandar Stanić
Anand Gopalakrishnan
Kazuki Irie
Jürgen Schmidhuber
OCL
28
14
0
24 May 2023
Provably Learning Object-Centric Representations
Provably Learning Object-Centric Representations
Jack Brady
Roland S. Zimmermann
Yash Sharma
Bernhard Schölkopf
Julius von Kügelgen
Wieland Brendel
OCL
26
31
0
23 May 2023
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Ziyi Wu
Jingyu Hu
Wuyue Lu
Igor Gilitschenski
Animesh Garg
DiffM
OCL
28
44
0
18 May 2023
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric
  Learning
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
Jinwoo Kim
Janghyuk Choi
Ho-Jin Choi
Seon Joo Kim
OCL
VLM
19
14
0
31 Mar 2023
Model-Based Reinforcement Learning with Isolated Imaginations
Model-Based Reinforcement Learning with Isolated Imaginations
Minting Pan
Xiangming Zhu
Yitao Zheng
Yunbo Wang
Xiaokang Yang
10
0
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 L. Griffiths
Sergey Levine
Amy Zhang
OCL
OffRL
14
9
0
20 Mar 2023
Reusable Slotwise Mechanisms
Reusable Slotwise Mechanisms
Trang Nguyen
Amin Mansouri
Kanika Madan
Khuong N. Nguyen
Kartik Ahuja
Dianbo Liu
Yoshua Bengio
OCL
20
4
0
21 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
26
23
0
14 Feb 2023
Invariant Slot Attention: Object Discovery with Slot-Centric Reference
  Frames
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
Ondrej Biza
Sjoerd van Steenkiste
Mehdi S. M. Sajjadi
Gamaleldin F. Elsayed
Aravindh Mahendran
Thomas Kipf
OCL
43
32
0
09 Feb 2023
The Construction of Reality in an AI: A Review
The Construction of Reality in an AI: A Review
J. W. Johnston
3DV
11
1
0
03 Feb 2023
Annotated History of Modern AI and Deep Learning
Annotated History of Modern AI and Deep Learning
Juergen Schmidhuber
MLAU
AI4TS
AI4CE
20
21
0
21 Dec 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 attention
Hao Zheng
Hui Lin
Rong Zhao
Luping Shi
15
5
0
11 Nov 2022
Neural Systematic Binder
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
19
36
0
02 Nov 2022
Unsupervised Multi-object Segmentation by Predicting Probable Motion
  Patterns
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns
Laurynas Karazija
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCL
98
20
0
21 Oct 2022
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric
  Models
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
Ziyi Wu
Nikita Dvornik
Klaus Greff
Thomas Kipf
Animesh Garg
OCL
BDL
59
89
0
12 Oct 2022
Dynamic Inference on Graphs using Structured Transition Models
Dynamic Inference on Graphs using Structured Transition Models
Saumya Saxena
Oliver Kroemer
AI4CE
26
0
0
29 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 Crafter
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
19
11
0
05 Aug 2022
Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang
Thomas L. Griffiths
Sergey Levine
OCL
47
59
0
02 Jul 2022
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with
  Relational Reasoning
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning
Chenxin Xu
Yuxin Wei
Bohan Tang
Sheng Yin
Ya-Qin Zhang
Siheng Chen
AI4TS
AI4CE
32
33
0
27 Jun 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World
  Videos
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos
Gamaleldin F. Elsayed
Aravindh Mahendran
Sjoerd van Steenkiste
Klaus Greff
Michael C. Mozer
Thomas Kipf
VOS
OCL
47
136
0
15 Jun 2022
Learning to Accelerate Partial Differential Equations via Latent Global
  Evolution
Learning to Accelerate Partial Differential Equations via Latent Global Evolution
Tailin Wu
Takashi Maruyama
J. Leskovec
AI4CE
23
28
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
OCL
BDL
10
2
0
07 Jun 2022
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive
  Learning
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning
Zhifeng Ma
Hao Zhang
Jie Liu
HAI
AI4CE
23
12
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
3DPC
MedIm
18
19
0
06 Jun 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic
  Videos
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos
Gautam Singh
Yi-Fu Wu
Sungjin Ahn
OCL
33
113
0
27 May 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in
  World Models
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models
Minting Pan
Xiangming Zhu
Yunbo Wang
Xiaokang Yang
16
39
0
27 May 2022
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
Unsupervised Multi-object Segmentation Using Attention and Soft-argmax
Bruno Sauvalle
A. de La Fortelle
3DPC
44
12
0
26 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
16
14
0
18 Apr 2022
Test-time Adaptation with Slot-Centric Models
Test-time Adaptation with Slot-Centric Models
Mihir Prabhudesai
Anirudh Goyal
S. Paul
Sjoerd van Steenkiste
Mehdi S. M. Sajjadi
Gaurav Aggarwal
Thomas Kipf
Deepak Pathak
Katerina Fragkiadaki
TTA
11
8
0
21 Mar 2022
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