489 citations · 1.8k across the 28 of their papers we have counts for
3 papers · 1 filter
High-dimensional Anomaly Detection with Radiative Return in Collisions
Julia Gonski, Jerry Lai, Benjamin Nachman +1
Experiments at a future collider will be able to search for new particles with masses below the nominal centre-of-mass energy by analyzing collisions with initial-stat…
Anomalous Jet Identification via Sequence Modeling
Alan Kahn, Julia Gonski, Inês Ochoa +2
This paper presents a novel method of searching for boosted hadronically decaying objects by treating them as anomalous elements of a contaminated dataset. A Variational Recurrent…
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…