396 citations · 3.3k across the 57 of their papers we have counts for
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hep-ph2020
Machine learning-based event generator for electron-proton scattering
Y. Alanazi, P. Ambrozewicz, M. Battaglieri +11
We present a new machine learning-based Monte Carlo event generator using generative adversarial networks (GANs) that can be trained with calibrated detector simulations to constru…
hep-ph2020★ 82 cited
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…