MACK: Mismodeling addressed with contrastive knowledge
The use of machine learning methods in high energy physics typically relies on large volumes of precise simulation for training. As machine learning models become more complex they can become increasingly sensitive to differences between this simulation and the real data collected by experiments. We...
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| Formato: | Artigo |
| Idioma: | Inglês |
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SciPost
2025-05-01
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| coleção: | SciPost Physics |
| Acesso em linha: | https://scipost.org/SciPostPhys.18.5.150 |
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