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.
Event Reconstruction with Deep Learning
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Pre-published on:
February 06, 2017
Published on:
April 19, 2017
Abstract
DOI: https://doi.org/10.22323/1.282.0180
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Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.