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Deep neural networks to recover unknown physical parameters from oscillating time series

Deep neural networks are widely used in pattern-recognition tasks for which a human-comprehensible, quantitative description of the data-generating process, cannot be obtained. While doing so, neural networks often produce an abstract (entangled and non-interpretable) representation of the data-gene...

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Detalles Bibliográficos
Autores principales: Garcon, Antoine, Vexler, Julian, Budker, Dmitry, Kramer, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106171/
https://www.ncbi.nlm.nih.gov/pubmed/35560322
http://dx.doi.org/10.1371/journal.pone.0268439