most citedBack To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

hep-ph2023★ 2 cited

Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection

Thorben Finke, Marie Hein, Gregor Kasieczka +6

Weakly supervised methods have emerged as a powerful tool for model-agnostic anomaly detection at the Large Hadron Collider (LHC). While these methods have shown remarkable perform…

astro-ph.HE2021

Classification of Fermi-LAT blazars with Bayesian neural networks

Anja Butter, Thorben Finke, Felicitas Keil +2

The use of Bayesian neural networks is a novel approach for the classification of gamma-ray sources. We focus on the classification of Fermi-LAT blazar candidates, which can be div…