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Turbo-Sim: a generalised generative model with a physical latent space [article]

Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling, Slava Voloshynovskiy
2021 arXiv   pre-print
We present Turbo-Sim, a generalised autoencoder framework derived from principles of information theory that can be used as a generative model.  ...  We apply Turbo-Sim to a collider physics generation problem: the transformation of the properties of several particles from a theory space, right after the collision, to an observation space, right after  ...  This research was partially funded by the SNF Sinergia project (CRSII5_193716): Robust Deep Density Models for High-Energy Particle Physics and Solar Flare Analysis (RODEM).  ... 
arXiv:2112.10629v2 fatcat:3xzhoybdr5f33kh6upwfhkgrji