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Adversarial Tuning of Perturbative Parameters in Non-Differentiable Physics Simulators
<!--HTML-->In this contribution, we present a method for tuning perturbative parameters in Monte Carlo simulation using a classifier loss in high dimensions. We use an LSTM trained on the radiation pattern inside jets to learn the parameters of the final state shower in the Pythia Monte Carlo...
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Lenguaje: | eng |
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2018
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Acceso en línea: | http://cds.cern.ch/record/2312417 |