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Predicting the performance of a Graph Neural Network for Particle-Flow reconstruction using (Quantum-)SVR

Detalles Bibliográficos
Autor principal: Garcia Amboage, Juan Pablo
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:http://cds.cern.ch/record/2827601
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author Garcia Amboage, Juan Pablo
author_facet Garcia Amboage, Juan Pablo
author_sort Garcia Amboage, Juan Pablo
collection CERN
id cern-2827601
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28276012022-11-03T21:20:02Zhttp://cds.cern.ch/record/2827601engGarcia Amboage, Juan PabloPredicting the performance of a Graph Neural Network for Particle-Flow reconstruction using (Quantum-)SVRCERN openlab summer student Lightning talks Session 2CERN openlab Summer Student Programme 2022oai:cds.cern.ch:28276012022
spellingShingle CERN openlab Summer Student Programme 2022
Garcia Amboage, Juan Pablo
Predicting the performance of a Graph Neural Network for Particle-Flow reconstruction using (Quantum-)SVR
title Predicting the performance of a Graph Neural Network for Particle-Flow reconstruction using (Quantum-)SVR
title_full Predicting the performance of a Graph Neural Network for Particle-Flow reconstruction using (Quantum-)SVR
title_fullStr Predicting the performance of a Graph Neural Network for Particle-Flow reconstruction using (Quantum-)SVR
title_full_unstemmed Predicting the performance of a Graph Neural Network for Particle-Flow reconstruction using (Quantum-)SVR
title_short Predicting the performance of a Graph Neural Network for Particle-Flow reconstruction using (Quantum-)SVR
title_sort predicting the performance of a graph neural network for particle-flow reconstruction using (quantum-)svr
topic CERN openlab Summer Student Programme 2022
url http://cds.cern.ch/record/2827601
work_keys_str_mv AT garciaamboagejuanpablo predictingtheperformanceofagraphneuralnetworkforparticleflowreconstructionusingquantumsvr
AT garciaamboagejuanpablo cernopenlabsummerstudentlightningtalkssession2