109 citations · 357 across the 10 of their papers we have counts for
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hep-ph2021★ 67 cited
Bump Hunting in Latent Space
Blaž Bortolato, Barry M. Dillon, Jernej F. Kamenik +1
Unsupervised anomaly detection could be crucial in future analyses searching for rare phenomena in large datasets, as for example collected at the LHC. To this end, we introduce a…
hep-ph2021★ 42 cited
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…