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Disentanglement of Correlated Factors via Hausdorff Factorized Support

Disentanglement of Correlated Factors via Hausdorff Factorized Support

13 October 2022
Karsten Roth
Mark Ibrahim
Zeynep Akata
Pascal Vincent
Diane Bouchacourt
    CML
    OOD
    CoGe
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Papers citing "Disentanglement of Correlated Factors via Hausdorff Factorized Support"

10 / 10 papers shown
Title
Robustness of Nonlinear Representation Learning
Robustness of Nonlinear Representation Learning
Simon Buchholz
Bernhard Schölkopf
OOD
137
3
0
19 Mar 2025
Representational Similarity via Interpretable Visual Concepts
Representational Similarity via Interpretable Visual Concepts
Neehar Kondapaneni
Oisin Mac Aodha
Pietro Perona
DRL
156
0
0
19 Mar 2025
Cross-Entropy Is All You Need To Invert the Data Generating Process
Cross-Entropy Is All You Need To Invert the Data Generating Process
Patrik Reizinger
Alice Bizeul
Attila Juhos
Julia E. Vogt
Randall Balestriero
Wieland Brendel
David Klindt
SSL
OOD
BDL
DRL
102
3
0
29 Oct 2024
Graph-based Unsupervised Disentangled Representation Learning via
  Multimodal Large Language Models
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
Baao Xie
Qiuyu Chen
Yunnan Wang
Zequn Zhang
Xin Jin
Wenjun Zeng
OffRL
33
2
0
26 Jul 2024
Memory Mosaics
Memory Mosaics
Jianyu Zhang
Niklas Nolte
Ranajoy Sadhukhan
Beidi Chen
Léon Bottou
VLM
65
3
0
10 May 2024
Improving Intervention Efficacy via Concept Realignment in Concept
  Bottleneck Models
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
Nishad Singhi
Jae Myung Kim
Karsten Roth
Zeynep Akata
46
1
0
02 May 2024
Disentangling representations of retinal images with generative models
Disentangling representations of retinal images with generative models
Sarah Muller
Lisa M. Koch
Hendrik P. A. Lensch
Philipp Berens
MedIm
32
3
0
29 Feb 2024
Disentanglement Learning via Topology
Disentanglement Learning via Topology
Nikita Balabin
Daria Voronkova
I. Trofimov
Evgeny Burnaev
S. Barannikov
DRL
55
2
0
24 Aug 2023
Nonparametric Identifiability of Causal Representations from Unknown
  Interventions
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Julius von Kügelgen
M. Besserve
Wendong Liang
Luigi Gresele
Armin Kekić
Elias Bareinboim
David M. Blei
Bernhard Schölkopf
CML
18
56
0
01 Jun 2023
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
175
313
0
07 Feb 2020
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