Self-Supervised Variational Auto-Encoders

Density estimation, compression, and data generation are crucial tasks in artificial intelligence. Variational Auto-Encoders (VAEs) constitute a single framework to achieve these goals. Here, we present a novel class of generative models, called self-supervised Variational Auto-Encoder (selfVAE), wh...

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Detalles Bibliográficos
Autores principales: Gatopoulos, Ioannis, Tomczak, Jakub M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231894/
https://www.ncbi.nlm.nih.gov/pubmed/34198552
http://dx.doi.org/10.3390/e23060747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231894/
https://www.ncbi.nlm.nih.gov/pubmed/34198552
http://dx.doi.org/10.3390/e23060747

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