2 papers
hep-ph2026
Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows
Davide Valsecchi, Mauro DonegÃ, Rainer Wallny
Unbinned likelihood fits maximize the information extracted from experimental data, yet their application in realistic high-dimensional analyses has been fundamentally bottlenecked…
stat.ML2026
Factorizable Normalizing Flows for parameter-dependent density morphing
Davide Valsecchi, Mauro DonegÃ, Rainer Wallny
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…