187 citations · 1.3k across the 25 of their papers we have counts for
25 papers
Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface
Annika Stein
In the field of high-energy physics, deep learning algorithms continue to gain in relevance and provide performance improvements over traditional methods, for example when identify…
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
Annika Stein, Xavier Coubez, Spandan Mondal +2
Deep learning is a standard tool in the field of high-energy physics, facilitating considerable sensitivity enhancements for numerous analysis strategies. In particular, in identif…
Search for heavy resonances decaying into two Higgs bosons or into a Higgs boson and a W or Z boson in proton-proton collisions at 13 TeV
CMS Collaboration
A search is presented for massive narrow resonances decaying either into two Higgs bosons, or into a Higgs boson and a W or Z boson. The decay channels considered are HH $\to \math…
Search for resonant pair production of Higgs bosons decaying to bottom quark-antiquark pairs in proton-proton collisions at 13 TeV
CMS Collaboration
A search for a narrow-width resonance decaying into two Higgs bosons, each decaying into a bottom quark-antiquark pair, is presented. The search is performed using proton-proton co…
Search for Higgs boson pair production in the final state in pp collisions at 13 TeV
CMS Collaboration
A search is presented for the production of a pair of Higgs bosons, where one decays into two photons and the other one into a bottom quark-antiquark pair. The analysis is performe…
Search for a heavy resonance decaying to a pair of vector bosons in the lepton plus merged jet final state at 13 TeV
Huang Huang
A search for a new heavy particle decaying to a pair of vector bosons (WW or WZ) is presented using data from the CMS detector corresponding to an integrated luminosity of 35.9/fb…