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hep-ph2026
An Optimal Observable Machine for reinterpretable measurements in high-energy physics
Torben Mohr, Alejandro Quiroga Triviño, Fabian Riemer +6
A machine-learning-based framework for constructing generator-level observables optimized for parameter extraction in particle physics analyses is introduced, referred to as the Op…
hep-ph2020
VBSCan Mid-Term Scientific Meeting
Julien Baglio, Alessandro Ballestrero, Riccardo Bellan +48
This document summarises the talks and discussions happened during the VBSCan Mid-Term Scientific Meeting workshop. The VBSCan COST action is dedicated to the coordinated study of…