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PoS(ICHEP2016)180

Event Reconstruction with Deep Learning

A. Farbin

in 38th International Conference on High Energy Physics

Contribution: pdf

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.