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.
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Event Reconstruction with Deep Learning
Semantic Scholar · Physics · 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.