6 citations · 6 across the 3 of their papers we have counts for
3 papers
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…
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…
Decay-aware neural network for event classification in collider physics
Tomoe Kishimoto, Masahiro Morinaga, Masahiko Saito +1
The goal of event classification in collider physics is to distinguish signal events of interest from background events to the extent possible to search for new phenomena in nature…