17 citations · 44 across the 5 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
hep-ph2020★ 15 cited
Parameter Estimation using Neural Networks in the Presence of Detector Effects
Anders Andreassen, Shih-Chieh Hsu, Benjamin Nachman +2
Histogram-based template fits are the main technique used for estimating parameters of high energy physics Monte Carlo generators. Parametrized neural network reweighting can be us…
physics.comp-ph2020★ 17 cited
GPU coprocessors as a service for deep learning inference in high energy physics
Jeffrey Krupa, Kelvin Lin, Maria Acosta Flechas +13
In the next decade, the demands for computing in large scientific experiments are expected to grow tremendously. During the same time period, CPU performance increases will be limi…