112 citations · 1.2k across the 191 of their papers we have counts for
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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…
physics.comp-ph2022★ 21 cited
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders
Mary Touranakou, Nadezda Chernyavskaya, Javier Duarte +6
We study how to use Deep Variational Autoencoders for a fast simulation of jets of particles at the LHC. We represent jets as a list of constituents, characterized by their momenta…