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: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2025-12-01
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| Series: | Scientific Reports |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1038/s41598-025-25815-6 |
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