31 citations · 36 across the 2 of their papers we have counts for
3 papers
Variational Autoencoders for Generative Modelling of Water Cherenkov Detectors
Abhishek Abhishek, Wojciech Fedorko, Patrick de Perio +2
Matter-antimatter asymmetry is one of the major unsolved problems in physics that can be probed through precision measurements of charge-parity symmetry violation at current and ne…
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…
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…