arXiv stat.ML
· Papers
Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows
arXiv:2602.13184v2 Announce Type: replace-cross Abstract: Unbinned likelihood fits maximize the information extracted from experimental data, yet their application in realistic high-dimensional analyses has been fundamentally bottlenecked by the prohibitive computational cost of profiling systematic uncertainties. Furt