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The Hierarchical Disentangled Information framework enables the discovery of meaningful structures

Abstract This paper introduces Hierarchical Disentangled Information (HDI), an unsupervised hierarchical framework that leverages information theory to disentangle atomic features across different hierarchical levels, uncovering meaningful latent variables beyond pre-defined labels. HDI facilitates...

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Principais autores: Mohammad Reza Hasanabadi, Davood Gharavian
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-12-01
Serier:Scientific Reports
Fag:
Disentanglement
Disentangled
Hierarchical
Information
Mutual information
Online adgang:https://doi.org/10.1038/s41598-025-25815-6
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