10.1k citations · 13.3k across the 35 of their papers we have counts for
23 papers · 1 filter
Continual Learning via Ensemble-Based Depth-Wise Masked Autoencoders for Data Quality Monitoring in High-Energy Physics
Dale Julson, Eric Reinhardt, Andrii Krutsylo +5
Machine learning (ML) techniques have been demonstrated to improve the accuracy and efficiency of anomaly detection (AD) when compared to conventional methods. This has led to the…
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…
Machine learning method for enforcing variable independence in background estimation with LHC data: ABCDisCoTEC
CMS Collaboration
A novel solution is presented for the problem of estimating the backgrounds of a signal search using observed data while simultaneously maximizing the sensitivity of the search to…
Observation of triple J/ meson production in proton-proton collisions at = 13 TeV
CMS Collaboration
Protons consist of three valence quarks, two up-quarks and one down-quark, held together by gluons and a sea of quark-antiquark pairs. Collectively, quarks and gluons are referred…
Search for supersymmetry with razor variables in pp collisions at sqrt(s) = 7 TeV
The CMS Collaboration
The razor approach to search for R-parity conserving supersymmetric particles is described in detail. Two analyses are considered: an inclusive search for new heavy particle pairs…
Measurement of pseudorapidity distributions of charged particles in proton-proton collisions at sqrt(s) = 8 TeV by the CMS and TOTEM experiments
The CMS collaboration, The TOTEM Collaboration
Pseudorapidity (eta) distributions of charged particles produced in proton-proton collisions at a centre-of-mass energy of 8 TeV are measured in the ranges abs(eta) < 2.2 and 5.3 <…