State-of-the-art Machine Learning in event reconstruction and object identification

Recent advances in deep learning have seen great success in the realms of computer vision, natural language processing, and broadly in data science. However, these new ideas are only just beginning to be applied to the analysis of High Energy Physics data. In this talk, I will discuss developments i...

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Autor principal: Kagan, Michael
Lenguaje:eng
Publicado: 2017
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2267879
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author Kagan, Michael
author_facet Kagan, Michael
author_sort Kagan, Michael
collection CERN
description Recent advances in deep learning have seen great success in the realms of computer vision, natural language processing, and broadly in data science. However, these new ideas are only just beginning to be applied to the analysis of High Energy Physics data. In this talk, I will discuss developments in the application of computer vision and deep learning techniques for event reconstruction and particle identification for the LHC .
id cern-2267879
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
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spelling cern-22678792019-09-30T06:29:59Zhttp://cds.cern.ch/record/2267879engKagan, MichaelState-of-the-art Machine Learning in event reconstruction and object identificationParticle Physics - ExperimentRecent advances in deep learning have seen great success in the realms of computer vision, natural language processing, and broadly in data science. However, these new ideas are only just beginning to be applied to the analysis of High Energy Physics data. In this talk, I will discuss developments in the application of computer vision and deep learning techniques for event reconstruction and particle identification for the LHC .ATL-PHYS-SLIDE-2017-349oai:cds.cern.ch:22678792017-06-07
spellingShingle Particle Physics - Experiment
Kagan, Michael
State-of-the-art Machine Learning in event reconstruction and object identification
title State-of-the-art Machine Learning in event reconstruction and object identification
title_full State-of-the-art Machine Learning in event reconstruction and object identification
title_fullStr State-of-the-art Machine Learning in event reconstruction and object identification
title_full_unstemmed State-of-the-art Machine Learning in event reconstruction and object identification
title_short State-of-the-art Machine Learning in event reconstruction and object identification
title_sort state-of-the-art machine learning in event reconstruction and object identification
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2267879
work_keys_str_mv AT kaganmichael stateoftheartmachinelearningineventreconstructionandobjectidentification

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