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physics.data-an2019★ 136 cited
Machine and Deep Learning Applications in Particle Physics
Dimitri Bourilkov
The many ways in which machine and deep learning are transforming the analysis and simulation of data in particle physics are reviewed. The main methods based on boosted decision t…
physics.data-an2003★ 3 cited
Virtual Data in CMS Analysis
A. Arbree, P. Avery, D. Bourilkov +5
The use of virtual data for enhancing the collaboration between large groups of scientists is explored in several ways: - by defining ``virtual'' parameter spaces which can be sear…