Generative Models for Application-Specific Fast Simulation of LHC Collision Events

Maurizio Pierini from CERN gave this talk at PASC18. "We investigate the possibility of using generative models (e.g., GANs and variational autoencoders) as analysis-specific data augmentation tools to increase the size of the simulation data used by the LHC experiments. With the LHC entering its high-luminosity phase in 2025, the projected computing resources will not be able to sustain the demand for simulated events. Generative models are already investigated as the mean to speed up the centralized simulation process."

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