Publications

Full list on Google Scholar.

• Scalable Linearized Laplace Approximation via Surrogate Neural Kernel L. A. Ortega, S. Rodríguez-Santana, D. Hernández-Lobato — arXiv preprint arXiv:2601.21835 arXiv
• Machine Learning Approaches to Dietary Classification from Dental Microtexture in Primates F. Estebaranz-Sánchez, K. Kit, J. J. Ibáñez Estevez, D. Ríos Insua, S. Rodríguez Santana, et al. — Scientific Reports Paper
• AI-Driven De Novo Design and Development of Nontoxic DYRK1A Inhibitors E. G. García, P. Varas, P. González-Naranjo, E. Ulzurrun, G. Marcos-Ayuso, S. Rodríguez Santana, et al. — Journal of Medicinal Chemistry PMC
• Personalized Pricing Decisions through Adversarial Risk Analysis D. G. Rasines, R. Naveiro, D. Ríos Insua, S. Rodríguez Santana — International Transactions in Operational Research DOI
• Variational Linearized Laplace Approximation for Bayesian Deep Learning L. A. Ortega Andrés, S. Rodríguez Santana, D. Hernández-Lobato — ICML arXivDOI
• Fixed-Mean Gaussian Processes for Post-Hoc Bayesian Deep Learning L. A. Ortega, S. Rodríguez-Santana, D. Hernández-Lobato — arXiv preprint arXiv:2412.04177 arXiv
• Deep Variational Implicit Processes L. A. Ortega, S. Rodríguez Santana, D. Hernández-Lobato — International Conference on Learning Representations (ICLR) DOI
• Function-Space Inference with Sparse Implicit Processes S. Rodríguez Santana, B. Zaldivar, D. Hernández-Lobato — ICML DOI
• Correcting Model Bias with Sparse Implicit Processes S. Rodríguez Santana, L. A. Ortega, D. Hernández-Lobato, B. Zaldívar — ICML Workshop "Beyond Bayes" DOI
• Adversarial α-Divergence Minimization for Bayesian Approximate Inference S. Rodríguez Santana, D. Hernández-Lobato — Neurocomputing DOI
• 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 DOI