79 citations · 591 across the 93 of their papers we have counts for
3 papers · 1 filter
Grooming at the Cusp: All-Orders Predictions for the Transition Region of Jet Groomers
Kees Benkendorfer, Andrew J. Larkoski
Jet grooming has emerged as a necessary and vital tool for mitigating contamination radiation in jets. The additional restrictions on emissions imposed by the groomer can result in…
The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
Gregor Kasieczka, Benjamin Nachman, David Shih +44
A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. I…
Simulation-Assisted Decorrelation for Resonant Anomaly Detection
Kees Benkendorfer, Luc Le Pottier, Benjamin Nachman
A growing number of weak- and unsupervised machine learning approaches to anomaly detection are being proposed to significantly extend the search program at the Large Hadron Collid…