PoS - Proceedings of Science
Volume 282 - 38th International Conference on High Energy Physics (ICHEP2016) - Computing
Event Reconstruction with Deep Learning
A. Farbin
Full text: pdf
Pre-published on: February 06, 2017
Published on: April 19, 2017
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
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