57 citations · 60 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2023★ 3 cited
LHC Hadronic Jet Generation Using Convolutional Variational Autoencoders with Normalizing Flows
Breno Orzari, Nadezda Chernyavskaya, Raphael Cobe +7
In high energy physics, one of the most important processes for collider data analysis is the comparison of collected and simulated data. Nowadays the state-of-the-art for data gen…
hep-ex2022★ 57 cited
Evaluating generative models in high energy physics
Raghav Kansal, Anni Li, Javier Duarte +4
There has been a recent explosion in research into machine-learning-based generative modeling to tackle computational challenges for simulations in high energy physics (HEP). In or…