Deep-learning jets with uncertainties and more
Bayesian neural networks allow us to keep track of uncertainties, for example in top tagging, by learning a tagger output together with an error band. We illustrate the main features of Bayesian versions of established deep-learning taggers. We show how they capture statistical uncertainties from...
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| Format: | Article |
| Language: | English |
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SciPost
2020-01-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.8.1.006 |