99 citations · 409 across the 21 of their papers we have counts for
3 papers · 1 filter
Les Houches guide to reusable ML models in LHC analyses
Jack Y. Araz, Andy Buckley, Gregor Kasieczka +10
With the increasing usage of machine-learning in high-energy physics analyses, the publication of the trained models in a reusable form has become a crucial question for analysis p…
The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows
Humberto Reyes-Gonzalez, Riccardo Torre
We propose the NFLikelihood, an unsupervised version, based on Normalizing Flows, of the DNNLikelihood proposed in Ref.[1]. We show, through realistic examples, how Autoregressive…
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
Andrea Coccaro, Marco Letizia, Humberto Reyes-Gonzalez +1
Normalizing flows have emerged as a powerful brand of generative models, as they not only allow for efficient sampling of complicated target distributions but also deliver density…