Cargando…
Leveraging universality of jet taggers through transfer learning
A significant challenge in the tagging of boosted objects via machine-learning technology is the prohibitive computational cost associated with training sophisticated models. Nevertheless, the universality of QCD suggests that a large amount of the information learnt in the training is common to dif...
| Autores principales: | , , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1140/epjc/s10052-022-10469-9 http://cds.cern.ch/record/2804029 |