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  On Disentangled Representations Learned from Correlated Data

Träuble, F., Creager, E., Kilbertus, N., Locatello, F., Dittadi, A., Goya, A., et al. (2022). On Disentangled Representations Learned from Correlated Data. In M. Meila, & T. Zhang (Eds.), Proceedings of the 38th International Conference on Machine Learning (ICML 2021) (pp. 10391-10402). PMLR. Retrieved from https://proceedings.mlr.press/v139/trauble21a.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-0AB7-A Version Permalink: https://hdl.handle.net/21.11116/0000-000D-0AB8-9
Genre: Conference Paper
Other : Is Independence all you need? On the Generalization of Representations Learned from Correlated Data

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Locator:
https://doi.org/10.48550/arXiv.2006.07886 (Preprint)
Description:
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OA-Status:
Green
Locator:
https://proceedings.mlr.press/v139/trauble21a.html (Publisher version)
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OA-Status:
Miscellaneous

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 Creators:
Träuble, Frederik1, Author           
Creager, Elliot2, Author
Kilbertus, Niki2, Author
Locatello, Francescso2, Author
Dittadi, Andrea2, Author
Goya, Anirudh2, Author
Schölkopf, Bernhard1, Author           
Bauer, Stefan1, 2, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 20212022-04
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Traubleetal20
URI: https://proceedings.mlr.press/v139/trauble21a.html
 Degree: -

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Title: 38th International Conference on Machine Learning (ICML 2021)
Place of Event: Online
Start-/End Date: 2021-07-18 - 2021-07-24

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Source 1

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Title: Proceedings of the 38th International Conference on Machine Learning (ICML 2021)
Source Genre: Proceedings
 Creator(s):
Meila, Marina1, Editor
Zhang, Tong1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: PMLR
Pages: - Volume / Issue: 13 Sequence Number: - Start / End Page: 10391 - 10402 Identifier: URI: https://proceedings.mlr.press/v139/
ISBN: 9781713845065

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Title: Proceedings of Machine Learning Research (PMLR)
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: PMLR
Pages: - Volume / Issue: 139 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498