most citedPre-training strategy using real particle collision data for event classification in collider physics

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

physics.data-an2024

Signal model parameter scan using Normalizing Flow

Masahiko Saito, Masahiro Morinaga, Tomoe Kishimoto +1

This paper presents a parameter scan technique for BSM signal models based on normalizing flow. Normalizing flow is a type of deep learning model that transforms a simple probabili…

hep-ex2023★ 6 cited

Pre-training strategy using real particle collision data for event classification in collider physics

Tomoe Kishimoto, Masahiro Morinaga, Masahiko Saito +1

This study aims to improve the performance of event classification in collider physics by introducing a pre-training strategy. Event classification is a typical problem in collider…