An implementation of neural simulation-based inference for parameter estimation in ATLAS
Date Issued
2025-06
Author(s) USM
Fuenzalida Garrido
DOI
10.1088/1361-6633/add370
Abstract
Neural simulation-based inference (NSBI) is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Suc
