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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Veröffentlicht in:	arXiv.org 2023-04
Hauptverfasser:	Kansal, Raghav, Li, Anni, Duarte, Javier, Chernyavskaya, Nadezda, Pierini, Maurizio, Orzari, Breno, Tomei, Thiago
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer vision Failure modes Generative adversarial networks Goodness of fit High energy physics Machine learning Message passing Physics Physics - High Energy Physics - Experiment Simulation models Simulators Statistics - Applications
Online-Zugang:	Volltext
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