13 citations · 21 across the 10 of their papers we have counts for
10 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…
Inclusive and differential measurements of the cross section and the / cross section ratio in proton-proton collisions at = 13 TeV
CMS Collaboration
Inclusive and differential cross section measurements of top quark pair () production in association with a photon () are performed as a function of lepton, p…
Search for single production of a vector-like T quark decaying to a top quark and a neutral scalar boson in the lepton+jets final state in proton-proton collisions at = 13 TeV
CMS Collaboration
A search for single production of a vector-like T quark with charge 2/3, decaying to a top quark and a neutral scalar boson is presented. The boson can be a standard model Higgs…
Combination of searches for nonresonant Higgs boson pair production in proton-proton collisions at = 13 TeV
CMS Collaboration
This paper presents a combination of searches for the nonresonant production of Higgs boson pairs (HH) in proton-proton collisions at a centre-of-mass energy of 13 TeV. The data se…
Wasserstein normalized autoencoder for anomaly detection
CMS Collaboration
A novel anomaly detection algorithm is presented. The Wasserstein normalized autoencoder (WNAE) is a normalized probabilistic model that minimizes the Wasserstein distance between…
Vector boson scattering and anomalous quartic couplings in final states with qq or qq plus jets using proton-proton collisions at = 13 TeV
CMS Collaboration
A measurement is presented of the electroweak vector boson scattering production of ZV (V = W, Z) boson pairs associated with two jets in proton-proton collisions at a center-of-ma…
DeepMET: Improving missing transverse momentum estimation with a deep neural network
CMS Collaboration
At hadron colliders, the net transverse momentum of particles that do not interact with the detector (missing transverse momentum, ) is a crucial ob…
A method for correcting the substructure of multiprong jets using the Lund jet plane
CMS Collaboration
Many analyses at the CERN LHC exploit the substructure of jets to identify heavy resonances produced with high momenta that decay into multiple quarks and/or gluons. This paper pre…
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Joon-Woo Lee, HyungChul Kang, Yongwoo Lee +8
Fully homomorphic encryption (FHE) is one of the prospective tools for privacypreserving machine learning (PPML), and several PPML models have been proposed based on various FHE sc…
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data
Junghyun Lee, Eunsang Lee, Joon-Woo Lee +3
Homomorphic encryption is one of the representative solutions to privacy-preserving machine learning (PPML) classification enabling the server to classify private data of clients w…