83 citations · 137 across the 17 of their papers we have counts for
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hep-ph2021★ 50 cited
Publishing statistical models: Getting the most out of particle physics experiments
Kyle Cranmer, Sabine Kraml, Harrison B. Prosper +30
The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In…
hep-ph2021★ 83 cited
A Living Review of Machine Learning for Particle Physics
Matthew Feickert, Benjamin Nachman
Modern machine learning techniques, including deep learning, are rapidly being applied, adapted, and developed for high energy physics. Given the fast pace of this research, we hav…