3 citations · 3 across the 2 of their papers we have counts for
2 papers
hep-ex2023★ 3 cited
Jet energy calibration with deep learning as a Kubeflow pipeline
Daniel Holmberg, Dejan Golubovic, Henning Kirschenmann
Precise measurements of the energy of jets emerging from particle collisions at the LHC are essential for a vast majority of physics searches at the CMS experiment. In this study,…
cs.LG2021
Accelerating GAN training using highly parallel hardware on public cloud
Renato Cardoso, Dejan Golubovic, Ignacio Peluaga Lozada +3
With the increasing number of Machine and Deep Learning applications in High Energy Physics, easy access to dedicated infrastructure represents a requirement for fast and efficient…