arXiv stat.ML
· Papers
Machine Learning-based Unfolding for Cross Section Measurements in the Presence of Nuisance Parameters
arXiv:2512.07074v3 Announce Type: replace-cross Abstract: Statistically correcting measured cross sections for detector effects is an important step across many applications. In particle physics, this inverse problem is known as unfolding. In cases with complex instruments, the distortions they introduce are often know