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  Compressibility Measures for Affinely Singular Random Vectors

Charusaie, M.-A., Amini, A., & Rini, S. (2022). Compressibility Measures for Affinely Singular Random Vectors. IEEE Transactions on Information Theory, 68(9), 6245-6275. doi:10.1109/TIT.2022.3174623.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-DF51-B Version Permalink: https://hdl.handle.net/21.11116/0000-000F-DF52-A
Genre: Journal Article

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Locator:
https://doi.org/10.1109/TIT.2022.3174623 (Publisher version)
Description:
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OA-Status:
Closed Access
Locator:
https://doi.org/10.48550/arXiv.2001.03884 (Preprint)
Description:
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OA-Status:
Green

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 Creators:
Charusaie, Mohammad-Amin1, 2, Author
Amini, Arash2, Author
Rini, Stefano2, Author
Affiliations:
1Research Group Human Aspects of Machine Learning, Max Planck Institute for Intelligent Systems, Max Planck Society, Max-Planck-Ring 4, 72076 Tübingen, DE, ou_3369932              
2External Organizations, ou_persistent22              

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Free keywords: Forschungsgruppe Samadi
 Abstract: -

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Language(s): eng - English
 Dates: 2022-05-202022-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: BibTex Citekey: 9779613
DOI: 10.1109/TIT.2022.3174623
arXiv: 2001.03884
 Degree: -

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Title: IEEE Transactions on Information Theory
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: 68 (9) Sequence Number: - Start / End Page: 6245 - 6275 Identifier: ISSN: 0018-9448
ISSN: 1557-9654