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QCD-Aware Neural Networks for Jet Physics
<!--HTML--><p>Recent progress in applying machine learning for jet physics has been built upon an analogy between calorimeters and images. In this work, we present a novel class of recursive neural networks built instead upon an analogy between QCD and natural languages...
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Lenguaje: | eng |
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2017
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Acceso en línea: | http://cds.cern.ch/record/2266052 |