基本信息
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Bio
Our group is applying advanced Machine Learning techniques for physics-related problems. Examples are, Deep Learning NN for Heavy Flavour Tag, Graphs for Vertex detection, U-Net for Particle Flow, Autoencoders for Detector Monitoring etc... We are also involved with ATLAS Higgs Physics analysis, in particular, VHcc and Hc; both related to the Higgs to Charm coupling.
Research Interests
Papers共 1027 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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arxiv(2024)
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Etienne Dreyer,Eilam Gross, Dmitrii Kobylianskii,Vinicius Mikuni,Benjamin Nachman,Nathalie Soybelman
arxiv(2024)
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arxiv(2024)
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EUROPEAN PHYSICAL JOURNAL Cno. 7 (2023)
MACHINE LEARNING-SCIENCE AND TECHNOLOGYno. 4 (2023)
Mach. Learn. Sci. Technol.no. 3 (2023): 035042-035042
European Physical Journal Cno. 7 (2022)
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Author Statistics
#Papers: 1035
#Citation: 69045
H-Index: 111
G-Index: 232
Sociability: 11
Diversity: 2
Activity: 112
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