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Evaluating generative models in high energy physics

There has been a recent explosion in research into machine-learning-based generative modeling to tackle computational challenges for simulations in high energy physics (HEP). In order to use such alternative simulators in practice, we need well-defined metrics to compare different generative models...

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Detalles Bibliográficos
Autores principales:	Kansal, Raghav, Li, Anni, Duarte, Javier, Chernyavskaya, Nadezda, Pierini, Maurizio, Orzari, Breno, Tomei, Thiago
Lenguaje:	eng
Publicado:	2022
Materias:	stat.AP Mathematical Physics and Mathematics cs.LG Computing and Computers hep-ex Particle Physics - Experiment
Acceso en línea:	https://dx.doi.org/10.1103/PhysRevD.107.076017 http://cds.cern.ch/record/2841787

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