182 citations · 248 across the 8 of their papers we have counts for
3 papers · 1 filter
Learning to Isolate Muons
Julian Collado, Kevin Bauer, Edmund Witkowski +3
Distinguishing between prompt muons produced in heavy boson decay and muons produced in association with heavy-flavor jet production is an important task in analysis of collider ph…
Learning to Identify Electrons
Julian Collado, Jessica N. Howard, Taylor Faucett +3
We investigate whether state-of-the-art classification features commonly used to distinguish electrons from jet backgrounds in collider experiments are overlooking valuable informa…
SARM: Sparse Autoregressive Model for Scalable Generation of Sparse Images in Particle Physics
Yadong Lu, Julian Collado, Daniel Whiteson +1
Generation of simulated data is essential for data analysis in particle physics, but current Monte Carlo methods are very computationally expensive. Deep-learning-based generative…