25 citations · 33 across the 3 of their papers we have counts for
3 papers
hep-ph2021
Multiparton Interactions in pp collisions from Machine Learning
Erik Zepeda, Antonio Ortiz
Over the last years, Machine Learning (ML) tools have been successfully applied to a wealth of problems in high-energy physics. In this work, we discuss the extraction of the avera…
hep-ph2021★ 8 cited
Extraction of the multiplicity dependence of Multiparton Interactions from LHC pp data using Machine Learning techniques
Antonio Ortiz, Erik Zepeda
Over the last years, Machine Learning (ML) methods have been successfully applied to a wealth of problems in high-energy physics. For instance, in a previous work we have reported…
hep-ph2020★ 25 cited
Multi-Parton Interactions in pp collisions from Machine Learning-based regression
Antonio Ortiz, Antonio Paz, Jose D. Romo +3
Multi-Parton Interactions (MPI) in pp collisions have attracted the attention of the heavy-ion community since they can help to elucidate the origin of collective-like effects disc…