Taming hyperparameter tuning in continuous normalizing flows using the JKO scheme

A normalizing flow (NF) is a mapping that transforms a chosen probability distribution to a normal distribution. Such flows are a common technique used for data generation and density estimation in machine learning and data science. The density estimate obtained with a NF requires a change of variab...

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Detalles Bibliográficos
Autores principales: Vidal, Alexander, Wu Fung, Samy, Tenorio, Luis, Osher, Stanley, Nurbekyan, Levon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024737/
https://www.ncbi.nlm.nih.gov/pubmed/36934141
http://dx.doi.org/10.1038/s41598-023-31521-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024737/
https://www.ncbi.nlm.nih.gov/pubmed/36934141
http://dx.doi.org/10.1038/s41598-023-31521-y

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