arXiv Machine Learning
Jun 30

Factorizable Normalizing Flows for parameter-dependent density morphing

arXiv:2606. 30489v1 Announce Type: cross Abstract: Normalizing Flows excel at modeling a single fixed density, yet many problems across the sciences, such as high energy physics, instead require modeling how that density deforms as a function of continuous parameters: the strength of a physical effect, a calibration constant, or a source of systematic uncertainty.

By Davide Valsecchi, Mauro Doneg\`a, Rainer Wallny