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Generative models uncertainty estimation
In recent years fully-parametric fast simulation methods based on generative models have been proposed for a variety of high-energy physics detectors. By their nature, the quality of data-driven models degrades in the regions of the phase space where the data are sparse. Since machine-learning model...
Autores principales: | Anderlini, Lucio, Chimpoesh, Constantine, Kazeev, Nikita, Shishigina, Agata |
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Lenguaje: | eng |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/2438/1/012088 http://cds.cern.ch/record/2837844 |
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