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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...
Autores principales: | Vidal, Alexander, Wu Fung, Samy, Tenorio, Luis, Osher, Stanley, Nurbekyan, Levon |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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