Publications

A. Sirunyan et al. (CMS Collaboration), “Machine Learning Auto-Categorization to Optimize the Sensitivity of High-Energy Physics Analyses”, in review, December 2018

 

S. Gleyzer et al., “End-to-End Identification of Jets with the CMS Open Data”, in review, December 2018

 

 

A. Sirunyan et al. (CMS Collaboration), “Search for the Higgs boson production in the di-muon final state with pp collisions at √s = 13 TeV”, accepted for publication in Physical Review Letters, October 2018

 

 

A. Sirunyan et al. (CMS Collaboration), “Observation of Higgs Boson Decay to Bottom Quarks”, Physical Review Letters, 121, 121801, September 2018

 

S. Gleyzer et al., “The Rise of Deep Learning“, CERN Courier, July/August 2018

 

 

 

S. Gleyzer et al., “End-To-End Deep Learning for Event Classification in CMS”, in Proceedings of Machine Learning in Science and Engineering, July 2018

K. Albertsoon et al., “Machine Learning in High-Energy Physics Community White Paper“, main editor, arXiv:1807.02876, July 2018

CMS Collaboration, “Machine Learning Techniques in the Search for the Higgs Boson in the di-muon Final State”, in Proceedings of the International Conference on Computing in High Energy and Nuclear Physics, July 2018

D. Berzano et al., “Community White Paper: Training, Staffing and Careers“, arXiv:1807.02875, July 2018

S. Gleyzer et al., “End-to-End Deep Learning for Particle and Event Classification”, to appear in Proceedings of the International Conference on Computing in High Energy and Nuclear Physics, July 2018

 

S. Gleyzer et al., “New Machine Learning Developments in ROOT/TMVA”, to appear in Proceedings of the International Conference on Computing in High Energy and Nuclear Physics, July 2018

 

S. Gleyzer et al., “End-To-End Deep Learning for Event Classification”, in Proceedings of XVIII International Workshop on Advanced Computing and Analysis Techniques in Physics Research, preprint, May 2018

 

S. Gleyzer et al., “Machine-Learning Development in High-Energy Physics”, to appear in Proceedings of the XII Quark Confinement and the Hadron Spectrum Conference, 2018

 

J. Albrecht et al., “A Roadmap for High-Energy Physics Software and Computing R&D for the 2020s“, arXiv:1712.06982, December 2017

 

S. Gleyzer et al., “Machine Learning Developments n ROOT”, in Proceedings of International Conference on Computing in High Energy and Nuclear Physics, November 2017

 

D. Acosta et al., “Boosted Decision Trees in the CMS Level-1 Endcap Muon Trigger ”, in Proceedings of Topical Workshop in Electronics for Particle Physics, October 2017

 

 

S. Gleyzer et al., “Accelerating High-Energy Physics Exploration with Deep Learning”, in Proceedings of the Practice and Experience in Advanced Research Computing, 2017

 

 

S. Gleyzer et al., “Falcon: Towards an Ultra Fast Non-Parametric Detector Simulator”, in Proceedings of the New Physics Working Group of the 2015 Les Houches Workshop, Physics at TeV Colliders, arXiv:1605.02684, 2016

 

S. Gleyzer et al., “Measurement of the Photon Identification Efficiencies with the ATLAS detector using Run 1 data”, Eur. Phys. J. C 76 (2016) 666

 

S. Chatrchyan et al. (CMS Collaboration), “Measurement of Prompt Double J/ψ production, Journal of High Energy Physics, JHEP 09 (2014) 094

 

G. Aad et al., (ATLAS Collaboration), “Evidence for the spin-0 nature of the Higgs boson using ATLAS data”, Phys. Lett. B 726 (2013) 120

 

S. Chatrchyan et al., “Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC”, Phys. Lett. B 716 (2012) 30

 

S. Gleyzer and H. Prosper, “PARADIGM: Decision-Making Framework for Variable Selection and Reduction in High Energy Physics”, in Proceedings of XII International Workshop on Advanced Computing and Analysis Techniques in Physics Research, 2009

 

S. Abdullin et al. (CMS Collaboration), “The CMS barrel calorimeter response to particle beams from 2 to 350 GeV/c”, Eur. Phys. J. C 60 (2009) 359

 

S. Gleyzer et al., “The h0 to A0A0 to bbτ+τ Signal in Vector Boson Fusion Production at the LHC”, Proceedings of the Higgs Boson Working Group of the 2007 Les Houches Workshop, Physics at TeV Colliders, arXiv:0803.1154, 2007