67 citations · 120 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
Light Majorana Neutrinos in (Semi)invisible Meson Decays
Blaz Bortolato, Jernej F. Kamenik
We reconsider decays of pseudoscalar mesons (P) to neutrino pairs and possibly additional photons in presence of (light) Majorana neutrinos. For this purpose we derive a model-inde…