| Adversarial α-divergence minimization for Bayesian approximate inference S Rodríguez Santana, D Hernández-Lobato Neurocomputing, 2020 | 13 | 2020 |
| Large‐scale automated forecasting for network safety and security monitoring R Naveiro, S Rodríguez Santana, D Ríos Insua Applied Stochastic Models in Business and Industry 35 (3), 431-447, 2019 | 5* | 2019 |
| Function-space Inference with Sparse Implicit Processes S Rodríguez Santana, B Zaldivar, D Hernández-Lobato Proceedings of the 39th International Conference on Machine Learning (ICML …, 2022 | 4* | 2022 |
| Deep Variational Implicit Processes LA Ortega, S Rodriguez Santana, D Hernández-Lobato arXiv preprint arXiv:2206.06720, 2022 | 1 | 2022 |
| Jornada de Biología computacional, ciencia de datos e inteligencia artificial F Aguilar, JM Martell, C Sorzano Sánchez, B Aguado, J Vera García, ... Consejo Superior de Investigaciones Científicas (España), 2023 | | 2023 |
| Variational Linearized Laplace Approximation for Bayesian Deep Learning LA Ortega, SR Santana, D Hernández-Lobato arXiv preprint arXiv:2302.12565, 2023 | | 2023 |
| Correcting Model Bias with Sparse Implicit Processes S Rodríguez Santana, LA Ortega, D Hernández-Lobato, B Zaldívar arXiv e-prints, arXiv: 2207.10673, 2022 | | 2022 |
| Contributions to approximate bayesian inference for machine learning S Rodríguez Santana Universidad Complutense de Madrid, 2022 | | 2022 |
| Genomic surveillance and impact of SARS-CoV-2 mutations P Ruiz-Rodriguez, M Álvarez-Herrera, ML Franco, C Francés-Gómez, ... | | 2022 |
| Evolutionary genomics of SARS-CoV-2: keys for viral success M Álvarez-Herrera, JM Carazo, I Comas, M Coscollá, SF Elena, ... | | 2022 |
| Bioinformatics analysis of mutations in SARS-CoV-2 and clinical phenotypes E Ulzurrun, D Del Hoyo, M Álvarez-Herrera, P Ruiz-Rodríguez, ... Libro de resúmenes, 66, 2022 | | 2022 |
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridDirección de correo verificada de uam.es
