88 citations · 348 across the 10 of their papers we have counts for
10 papers
End-to-end deep learning inference with CMSSW via ONNX using docker
Purva Chaudhari, Shravan Chaudhari, Ruchi Chudasama +1
Deep learning techniques have been proven to provide excellent performance for a variety of high-energy physics applications, such as particle identification, event reconstruction…
Search for invisible decays of the Higgs boson produced via vector boson fusion in proton-proton collisions at 13 TeV
CMS Collaboration
A search for invisible decays of the Higgs boson produced via vector boson fusion (VBF) has been performed with 101 fb of proton-proton collisions delivered by the LHC at $\…
Search for higgsinos decaying to two Higgs bosons and missing transverse momentum in proton-proton collisions at 13 TeV
CMS Collaboration
Results are presented from a search for physics beyond the standard model in proton-proton collisions at 13 TeV in channels with two Higgs bosons, each decaying via th…
Domain Adaptation for Simulation-Based Dark Matter Searches Using Strong Gravitational Lensing
Stephon Alexander, Sergei Gleyzer, Pranath Reddy +2
Clues to the identity of dark matter have remained surprisingly elusive, given the scope of experimental programs aimed at its identification. While terrestrial experiments may be…
Search for heavy resonances decaying to a pair of Lorentz-boosted Higgs bosons in final states with leptons and a bottom quark pair at 13 TeV
CMS Collaboration
A search for new heavy resonances decaying to a pair of Higgs bosons (HH) in proton-proton collisions at a center-of-mass energy of 13 TeV is presented. Data were collected with th…
Combined searches for the production of supersymmetric top quark partners in proton-proton collisions at 13 TeV
CMS Collaboration
A combination of searches for top squark pair production using proton-proton collision data at a center-of-mass energy of 13 TeV at the CERN LHC, corresponding to an integrated lum…