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Adversarial training for b-tagging algorithms in CMS
Modern neural networks bring considerable performance improvements in various areas of high-energy physics, such as object identification. Flavour-tagging is one example that profits from complex architectures, leveraging information from large numbers of low-level inputs. While such tagging algorit...
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| Lenguaje: | eng |
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2022
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| Acceso en línea: | http://cds.cern.ch/record/2839919 |