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Pawel Ambrozewicz

2 accepted papers

2021

A Survey of Machine Learning-Based Physics Event Generation

IJCAI 2021poster

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 learning (ML) efforts at building physics event generators. We review ML generative models used in ML-based event generators an…

Cited by 24SourcePDFScholar
2021

Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN)

IJCAI 2021poster

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 assumptions about underlying particle dynamics. The difficulty of efficiently training a GAN event simulator lies in learn…

Cited by 72SourcePDFScholar