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Machine learning uncertainties with adversarial neural networks

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Machine Learning is a powerful tool to reveal and exploit correlations in a multi-dimensional parameter space. Making predictions from such correlations is a highly non-trivial task, in particular when the details of the underlying dynamics of a theoretical model are not fully understood. Using adve...

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Detalles Bibliográficos
Autores principales:	Englert, Christoph, Galler, Peter, Harris, Philip, Spannowsky, Michael
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2019
Materias:	Regular Article - Theoretical Physics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390898/ https://www.ncbi.nlm.nih.gov/pubmed/30872963 http://dx.doi.org/10.1140/epjc/s10052-018-6511-8

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