CaloDiT-2 demonstrates that pre-training a transformer-based diffusion model on multiple calorimeter detectors enables 25x less data and 20x less training time when adapting to a new detector.
Wang, David Leo Wright Hall, Percy Liang, and Tengyu Ma
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A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
CaloDiT-2 demonstrates that pre-training a transformer-based diffusion model on multiple calorimeter detectors enables 25x less data and 20x less training time when adapting to a new detector.