| |
Author  |
Title |
Year |
Publication |
Volume |
Pages |
|
|
Bendavid, J.; Conde, D.; Morales-Alvarado, M.; Sanz, V.; Ubiali, M. |
Angular coefficients from interpretable machine learning with symbolic regression |
2026 |
Journal of High Energy Physics |
02 |
081 - 43pp |
|
|
Conde, D.; Castillo, F.L.; Escobar, C.; García, C.; Garcia Navarro, J.E.; Sanz, V.; Zaldívar, B.; Curto, J.J.; Marsal, S.; Torta, J.M. |
Forecasting Geomagnetic Storm Disturbances and Their Uncertainties Using Deep Learning |
2023 |
Space Weather |
21 |
e2023SW003474 - 27pp |
|
|
Conde, D.; Folgado, M.G.; Sanz, V. |
Machine-learning-inspired SMEFT simplified template cross sections: A case study in ZH production |
2026 |
Physical Review D |
114 |
015037 - 13pp |
