18 citations · 18 across the 1 of their papers we have counts for
2 papers
hep-ph2021★ 18 cited
A survey of machine learning-based physics event generation
Yasir Alanazi, N. Sato, Pawel Ambrozewicz +5
Event generators in high-energy nuclear and particle physics play an important role in facilitating studies of particle reactions. We survey the state-of-the-art of machine learnin…
hep-ph2020
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)
Yasir Alanazi, N. Sato, Tianbo Liu +9
We apply generative adversarial network (GAN) technology to build an event generator that simulates particle production in electron-proton scattering that is free of theoretical as…