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  Immiscible color flows in optimal transport networks for image classification

Lonardi, A., Theuerkauf, D., & De Bacco, C. (2023). Immiscible color flows in optimal transport networks for image classification. Frontiers in Physics, 11: 1089114. doi:10.3389/fphy.2023.1089114.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-DF74-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-DF75-3
Genre: Journal Article

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Locator:
https://doi.org/10.3389/fphy.2023.1089114 (Publisher version)
Description:
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OA-Status:
Gold
Locator:
https://doi.org/10.48550/arXiv.2205.02938 (Preprint)
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OA-Status:
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 Creators:
Lonardi, Alessandro1, Author                 
Theuerkauf, Diego1, Author           
De Bacco, Caterina1, Author                 
Affiliations:
1Max Planck Research Group Physics for Inference and Optimization, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_3031010              

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Free keywords: Forschungsgruppe De Bacco
 Abstract: -

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Language(s): eng - English
 Dates: 2023-02-272023-02
 Publication Status: Issued
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: BibTex Citekey: movi
DOI: 10.3389/fphy.2023.1089114
arXiv: 2205.02938
 Degree: -

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Title: Frontiers in Physics
Source Genre: Journal
 Creator(s):
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Publ. Info: Lausanne : Frontiers Media
Pages: - Volume / Issue: 11 Sequence Number: 1089114 Start / End Page: - Identifier: ISSN: 2296-424X
CoNE: https://pure.mpg.de/cone/journals/resource/2296-424X