| MmWave vehicular beam selection with situational awareness using machine learning Y Wang, A Klautau, M Ribero, ACK Soong, RW Heath IEEE Access 7, 87479-87493, 2019 | 21 | 2019 |
| Mmwave vehicular beam training with situational awareness by machine learning Y Wang, A Klautau, M Ribero, M Narasimha, RW Heath 2018 IEEE Globecom Workshops (GC Wkshps), 1-6, 2018 | 10 | 2018 |
| Comparison of different crime prediction models in Bogotá F Barreras, C Diaz, A Riascos, M Ribero Documentos CEDE, 2016 | 5 | 2016 |
| Communication-efficient federated learning via optimal client sampling M Ribero, H Vikalo arXiv preprint arXiv:2007.15197, 2020 | 3 | 2020 |
| Federating recommendations using differentially private prototypes M Ribero, J Henderson, S Williamson, H Vikalo arXiv preprint arXiv:2003.00602, 2020 | 3 | 2020 |
| Dimension independence in unconstrained private erm via adaptive preconditioning P Kairouz, M Ribero, K Rush, A Thakurta arXiv preprint arXiv:2008.06570, 2020 | 2 | 2020 |
| Deep learning propagation models over irregular terrain M Ribero, RW Heath, H Vikalo, D Chizhik, RA Valenzuela ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 2 | 2019 |
| Comparación de diferentes modelos para la predicción del crimen en Bogotá F Barreras, C Díaz, ÁJ Riascos, M Ribero Economía y seguridad en el posconflicto, 209, 2018 | 2 | 2018 |
| Una comparación de diferentes modelos para la predicción del crimen en bogotá (a comparison of different crime prediction models for bogotá) F Barreras, C Diaz, A Riascos, M Ribero Documento CEDE, 2016 | 1 | 2016 |
| Improving transparency of the Colombian Peace Treaty with NLP F Barreras, M Ribero, F Suárez Documentos de Trabajo Quantil, 2017 | | 2017 |
