Pretraining neural networks on fast simulation yields reusable representations that improve performance on full simulation tasks in LHC environments while cutting required target statistics by a factor of about two.
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Transfer Learning Across Fast- and Full-Simulation Domains in High-Energy Physics
Pretraining neural networks on fast simulation yields reusable representations that improve performance on full simulation tasks in LHC environments while cutting required target statistics by a factor of about two.