Neural Expectation Maximization

11 August 2017

Klaus Greff

Sjoerd van Steenkiste

Jürgen Schmidhuber

OCL

ArXiv PDF HTML

Papers citing "Neural Expectation Maximization"

50 / 72 papers shown

Title
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 172 0 0 28 Oct 2024
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 46 5 0 22 Jul 2024
Attention Normalization Impacts Cardinality Generalization in Slot Attention Markus Krimmel Jan Achterhold Joerg Stueckler OCL 45 0 0 04 Jul 2024
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery Anand Gopalakrishnan Aleksandar Stanić Jürgen Schmidhuber M. C. Mozer 49 5 0 27 May 2024
Unsupervised Discovery of Object-Centric Neural Fields Rundong Luo Hong-Xing Yu Jiajun Wu 3DPC OCL 90 3 0 12 Feb 2024
Neural Language of Thought Models Yi-Fu Wu Minseung Lee Sungjin Ahn MLLM VLM 66 6 0 02 Feb 2024
Explicitly Disentangled Representations in Object-Centric Learning Riccardo Majellaro Jonathan Collu Aske Plaat Thomas M. Moerland CoGe OOD OCL 68 1 0 18 Jan 2024
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints Jinyang Yuan Tonglin Chen Zhimeng Shen Bin Li Xiangyang Xue OCL 33 2 0 03 Jan 2024
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 30 1 0 16 Jun 2023
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities Andrii Zadaianchuk Maximilian Seitzer Georg Martius OCL 23 39 0 07 Jun 2023
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models Ziyi Wu Jingyu Hu Wuyue Lu Igor Gilitschenski Animesh Garg DiffM OCL 36 45 0 18 May 2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations Qiqi Duan Chang Shao Guochen Zhou Hao Yang Qi Zhao Yuhui Shi 25 4 0 11 Apr 2023
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots Dong Lao Zhengyang Hu Francesco Locatello Yanchao Yang Stefano Soatto OCL 33 5 0 04 Apr 2023
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 27 9 0 20 Mar 2023
Reusable Slotwise Mechanisms Trang Nguyen Amin Mansouri Kanika Madan Khuong N. Nguyen Kartik Ahuja Dianbo Liu Yoshua Bengio OCL 28 4 0 21 Feb 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 56 22 0 12 Jan 2023
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention Hao Zheng Hui Lin Rong Zhao Luping Shi 28 5 0 11 Nov 2022
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 32 36 0 02 Nov 2022
Search for Concepts: Discovering Visual Concepts Using Direct Optimization P. Reddy Paul Guerrero Niloy J. Mitra OCL 21 4 0 25 Oct 2022
Effectiveness of the Recent Advances in Capsule Networks Nidhin Harilal Rohan Patil 26 0 0 11 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models Ruixiang Zhang Tong Che Boris Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 31 8 0 11 Oct 2022
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 21 4 0 15 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 13 0 05 Aug 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 59 58 0 02 Jul 2022
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 58 138 0 15 Jun 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 29 19 0 06 Jun 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos Gautam Singh Yi-Fu Wu Sungjin Ahn OCL 48 115 0 27 May 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 26 16 0 25 Mar 2022
PartAfford: Part-level Affordance Discovery from 3D Objects Chao Xu Yixin Chen He Wang Song-Chun Zhu Yixin Zhu Siyuan Huang 31 25 0 28 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 21 21 0 07 Feb 2022
EM-driven unsupervised learning for efficient motion segmentation E. Meunier A. Badoual P. Bouthemy 33 39 0 06 Jan 2022
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 41 214 0 24 Nov 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation Laurynas Karazija Iro Laina Christian Rupprecht 3DV VOS 38 84 0 19 Nov 2021
Unsupervised Learning of Compositional Energy Concepts Yilun Du Shuang Li Yash Sharma J. Tenenbaum Igor Mordatch CoGe OCL 30 76 0 04 Nov 2021
Unsupervised Foreground Extraction via Deep Region Competition Peiyu Yu Sirui Xie Xiaojian Ma Yixin Zhu Ying Nian Wu Song-Chun Zhu OCL 32 42 0 29 Oct 2021
Fitting large mixture models using stochastic component selection Milan Papez Tomás Pevný Václav Smídl 23 0 0 10 Oct 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 137 0 09 Sep 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 64 16 0 09 Sep 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction Patrick Dendorfer Sven Elflein Laura Leal-Taixé 24 91 0 20 Aug 2021
Generative Video Transformer: Can Objects be the Words? Yi-Fu Wu Jaesik Yoon Sungjin Ahn ViT 32 34 0 20 Jul 2021
Unsupervised Co-part Segmentation through Assembly Qingzhe Gao Bin Wang Libin Liu Baoquan Chen 18 13 0 10 Jun 2021
Unsupervised Layered Image Decomposition into Object Prototypes Tom Monnier Elliot Vincent Jean Ponce Mathieu Aubry OCL 16 53 0 29 Apr 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 37 115 0 20 Apr 2021
Self-Supervision by Prediction for Object Discovery in Videos Beril Besbinar P. Frossard SSL 26 7 0 09 Mar 2021
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos Haoqi Yuan Ruihai Wu Andrew Zhao Hanwang Zhang Zihan Ding Hao Dong 19 3 0 07 Mar 2021
Generative Adversarial Transformers Drew A. Hudson C. L. Zitnick ViT 25 179 0 01 Mar 2021
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 27 41 0 29 Nov 2020
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 222 68 0 23 Oct 2020
Improving Generative Imagination in Object-Centric World Models Zhixuan Lin Yi-Fu Wu Skand Peri Bofeng Fu Jindong Jiang Sungjin Ahn OCL 27 80 0 05 Oct 2020
Slot Contrastive Networks: A Contrastive Approach for Representing Objects Evan Racah Sarath Chandar OCL DRL 21 14 0 18 Jul 2020