112 citations · 1.2k across the 163 of their papers we have counts for
3 papers · 1 filter
Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations
Florian Rehm, Sofia Vallecorsa, Kerstin Borras +1
The precise simulation of particle transport through detectors remains a key element for the successful interpretation of high energy physics results. However, Monte Carlo based si…
Validation of Deep Convolutional Generative Adversarial Networks for High Energy Physics Calorimeter Simulations
Florian Rehm, Sofia Vallecorsa, Kerstin Borras +1
In particle physics the simulation of particle transport through detectors requires an enormous amount of computational resources, utilizing more than 50% of the resources of the C…
Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case
Florian Rehm, Sofia Vallecorsa, Vikram Saletore +5
Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computation…