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Towards causal generative scene models via competition of experts

Towards causal generative scene models via competition of experts

27 April 2020
Julius von Kügelgen
Ivan Ustyuzhaninov
Peter V. Gehler
Matthias Bethge
Bernhard Schölkopf
    OCL3DV
ArXiv (abs)PDFHTML

Papers citing "Towards causal generative scene models via competition of experts"

37 / 37 papers shown
Unsupervised Object Discovery: A Comprehensive Survey and Unified
  Taxonomy
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
José-Fabian Villa-Vásquez
M. Pedersoli
536
4
0
30 Oct 2024
Slot State Space Models
Slot State Space Models
Jindong Jiang
Fei Deng
Gautam Singh
Minseung Lee
Sungjin Ahn
600
16
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
264
1
0
23 Apr 2024
Parallelized Spatiotemporal Binding
Parallelized Spatiotemporal Binding
Gautam Singh
Yue Wang
Jiawei Yang
Boris Ivanovic
Sungjin Ahn
Marco Pavone
Tong Che
259
2
0
26 Feb 2024
Binding Dynamics in Rotating Features
Binding Dynamics in Rotating Features
Sindy Löwe
Francesco Locatello
Max Welling
OCL
276
4
0
08 Feb 2024
Neural Language of Thought Models
Neural Language of Thought Models
Yi-Fu Wu
Minseung Lee
Sungjin Ahn
MLLMVLM
432
10
0
02 Feb 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
292
5
0
08 Dec 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
394
9
0
01 Sep 2023
Enhancing Interpretable Object Abstraction via Clustering-based Slot
  Initialization
Enhancing Interpretable Object Abstraction via Clustering-based Slot InitializationBritish Machine Vision Conference (BMVC), 2023
Ni Gao
Bernard Hohmann
Gerhard Neumann
OCL
200
2
0
22 Aug 2023
Conditionally Invariant Representation Learning for Disentangling
  Cellular Heterogeneity
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
H. Aliee
Ferdinand Kapl
Soroor Hediyeh-zadeh
Fabian J. Theis
CML
318
11
0
02 Jul 2023
Learning Causal Mechanisms through Orthogonal Neural Networks
Learning Causal Mechanisms through Orthogonal Neural Networks
Peyman Sheikholharam Mashhadi
Sławomir Nowaczyk
CMLDRL
314
0
0
05 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
487
35
0
01 Jun 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
317
53
0
23 May 2023
Object-Centric Slot Diffusion
Object-Centric Slot DiffusionNeural Information Processing Systems (NeurIPS), 2023
Jindong Jiang
Fei Deng
Gautam Singh
S. Ahn
DiffMBDLOCL
794
90
0
20 Mar 2023
Neural Systematic Binder
Neural Systematic BinderInternational Conference on Learning Representations (ICLR), 2022
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
501
46
0
02 Nov 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
361
22
0
05 Oct 2022
Bridging the Gap to Real-World Object-Centric Learning
Bridging the Gap to Real-World Object-Centric LearningInternational Conference on Learning Representations (ICLR), 2022
Maximilian Seitzer
Max Horn
Antonios Tragoudaras
Dominik Zietlow
Tianjun Xiao
...
Tong He
Zheng Zhang
Bernhard Schölkopf
Thomas Brox
Francesco Locatello
OCL
435
219
0
29 Sep 2022
Variational Causal Dynamics: Discovering Modular World Models from
  Interventions
Variational Causal Dynamics: Discovering Modular World Models from Interventions
Anson Lei
Bernhard Schölkopf
Ingmar Posner
CML
271
15
0
22 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs
Towards Improving the Generation Quality of Autoregressive Slot VAEs
Patrick Emami
Pan He
Sanjay Ranka
Anand Rangarajan
OCL
282
1
0
03 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
499
161
0
27 May 2022
Learning What and Where: Disentangling Location and Identity Tracking
  Without Supervision
Learning What and Where: Disentangling Location and Identity Tracking Without SupervisionInternational Conference on Learning Representations (ICLR), 2022
Manuel Traub
S. Otte
Tobias Menge
Matthias Karlbauer
Jannik Thummel
Martin Volker Butz
501
23
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
557
16
0
18 Apr 2022
From Statistical to Causal Learning
From Statistical to Causal Learning
Bernhard Schölkopf
Julius von Kügelgen
CML
313
53
0
01 Apr 2022
From Machine Learning to Robotics: Challenges and Opportunities for
  Embodied Intelligence
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy
Ingmar Posner
Timothy D. Barfoot
Philippe Beaudoin
Yoshua Bengio
...
S. Schaal
Gaurav Sukhatme
D. Thérien
Marc Toussaint
M. van de Panne
372
94
0
28 Oct 2021
Illiterate DALL-E Learns to Compose
Illiterate DALL-E Learns to Compose
Gautam Singh
Fei Deng
Sungjin Ahn
CoGeOCL
544
179
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
287
28
0
13 Oct 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
363
87
0
01 Jul 2021
Independent mechanism analysis, a new concept?
Independent mechanism analysis, a new concept?Neural Information Processing Systems (NeurIPS), 2021
Luigi Gresele
Julius von Kügelgen
Vincent Stimper
Bernhard Schölkopf
M. Besserve
CML
456
119
0
09 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates
  Content from Style
Self-Supervised Learning with Data Augmentations Provably Isolates Content from StyleNeural Information Processing Systems (NeurIPS), 2021
Julius von Kügelgen
Yash Sharma
Luigi Gresele
Wieland Brendel
Bernhard Schölkopf
M. Besserve
Francesco Locatello
518
374
0
08 Jun 2021
Unsupervised Layered Image Decomposition into Object Prototypes
Unsupervised Layered Image Decomposition into Object PrototypesIEEE International Conference on Computer Vision (ICCV), 2021
Tom Monnier
Elliot Vincent
Jean Ponce
Mathieu Aubry
OCL
352
63
0
29 Apr 2021
KANDINSKYPatterns -- An experimental exploration environment for Pattern
  Analysis and Machine Intelligence
KANDINSKYPatterns -- An experimental exploration environment for Pattern Analysis and Machine Intelligence
Andreas Holzinger
Anna Saranti
Heimo Mueller
357
11
0
28 Feb 2021
Towards Causal Representation Learning
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OODCMLAI4CE
426
352
0
22 Feb 2021
Counterfactual Generative Networks
Counterfactual Generative NetworksInternational Conference on Learning Representations (ICLR), 2021
Axel Sauer
Andreas Geiger
OODBDLCML
407
143
0
15 Jan 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
713
307
0
09 Dec 2020
Reconstruction Bottlenecks in Object-Centric Generative Models
Reconstruction Bottlenecks in Object-Centric Generative Models
Martin Engelcke
Oiwi Parker Jones
Ingmar Posner
OCL
284
24
0
13 Jul 2020
Unsupervised object-centric video generation and decomposition in 3D
Unsupervised object-centric video generation and decomposition in 3DNeural Information Processing Systems (NeurIPS), 2020
Paul Henderson
Christoph H. Lampert
OCL
325
39
0
07 Jul 2020
Object-Centric Learning with Slot Attention
Object-Centric Learning with Slot Attention
Francesco Locatello
Dirk Weissenborn
Thomas Unterthiner
Aravindh Mahendran
G. Heigold
Jakob Uszkoreit
Alexey Dosovitskiy
Thomas Kipf
OCL
698
1,080
0
26 Jun 2020
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