| Author |
Title  |
Year |
Publication |
Volume |
Pages |
| Hirn, J.; Garcia, J.E.; Montesinos-Navarro, A.; Sanchez-Martin, R.; Sanz, V.; Verdu, M. |
A deep Generative Artificial Intelligence system to predict species coexistence patterns |
2022 |
Methods in Ecology and Evolution |
13 |
1052-1061 |
| Khosa, C.K.; Sanz, V.; Soughton, M. |
A simple guide from machine learning outputs to statistical criteria in particle physics |
2022 |
Scipost Physics Core |
5 |
050 - 31pp |
| Khosa, C.K.; Sanz, V. |
Anomaly Awareness |
2023 |
Scipost Physics |
15 |
053 - 24pp |
| Khosa, C.K.; Mars, L.; Richards, J.; Sanz, V. |
Convolutional neural networks for direct detection of dark matter |
2020 |
Journal of Physics G |
47 |
095201 - 20pp |
| Hirsch, M.; Mantani, L.; Sanz, V. |
Data-Driven Discovery Strategy for Standard Model Effective Field Theory Searches |
2025 |
Physical Review Letters |
135 |
241801 - 8pp |
| Esser, F.; Madigan, M.; Salas-Bernardez, A.; Sanz, V.; Ubiali, M. |
Di-Higgs production via axion-like particles |
2024 |
Journal of High Energy Physics |
10 |
164 - 22pp |
| Barenboim, G.; Del Debbio, L.; Hirn, J.; Sanz, V. |
Exploring how a generative AI interprets music |
2024 |
Neural Computing and Applications |
36 |
17007–17022 |
| Folgado, M.G.; Sanz, V. |
Exploring the political pulse of a country using data science tools |
2022 |
Journal of Computational Social Science |
5 |
987-1000 |
| Cepedello, R.; Esser, F.; Hirsch, M.; Sanz, V. |
Faking ZZZ vertices at the LHC |
2024 |
Journal of High Energy Physics |
12 |
098 - 20pp |
| Cepedello, R.; Esser, F.; Hirsch, M.; Sanz, V. |
Fermionic UV models for neutral triple gauge boson vertices |
2024 |
Journal of High Energy Physics |
07 |
275 - 28pp |
