31 citations · 31 across the 1 of their papers we have counts for
2 papers
hep-ph2019
The Machine Learning Landscape of Top Taggers
G. Kasieczka, T. Plehn, A. Butter +24
Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established metho…
hep-ex2017★ 31 cited
Long Short-Term Memory (LSTM) networks with jet constituents for boosted top tagging at the LHC
Shannon Egan, Wojciech Fedorko, Alison Lister +2
Multivariate techniques based on engineered features have found wide adoption in the identification of jets resulting from hadronic top decays at the Large Hadron Collider (LHC). R…