42 citations · 50 across the 4 of their papers we have counts for
4 papers
Identification of tau leptons using a convolutional neural network with domain adaptation
CMS Collaboration
A tau lepton identification algorithm, DeepTau, based on convolutional neural network techniques, has been developed in the CMS experiment to discriminate reconstructed hadronic de…
Performance of heavy-flavour jet identification in Lorentz-boosted topologies in proton-proton collisions at = 13 TeV
CMS Collaboration
Measurements in the highly Lorentz-boosted regime provoke increased interest in probing the Higgs boson properties and in searching for particles beyond the standard model at the L…
Performance of the CMS high-level trigger during LHC Run 2
CMS Collaboration
The CERN LHC provided proton and heavy ion collisions during its Run 2 operation period from 2015 to 2018. Proton-proton collisions reached a peak instantaneous luminosity of 2.1 $…
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…