Main Image
Volume 282 - 38th International Conference on High Energy Physics (ICHEP2016) - Computing
Event Reconstruction with Deep Learning
A. Farbin
Full text: pdf
Pre-published on: 2017 February 06
Published on: 2017 April 19
Abstract
The recent Deep Learning (DL) renaissance has yielded
impressive feats in industry and science that illustrate the
transformative potential of replacing laborious feature engineering
with automatic feature learning to simplify, enhance, and accelerate
raw data processing. This document overviews current attempts to
apply Deep Learning to Event Reconstruction in High Energy Physics
experiments.
DOI: https://doi.org/10.22323/1.282.0180
Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.