Simón Rodríguez Santana

According to our database, Simón Rodríguez Santana authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Scalable Linearized Laplace Approximation via Surrogate Neural Kernel.

Luis A. Ortega, Simón Rodríguez Santana, Daniel Hernández-Lobato

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2025

Personalized pricing decisions through adversarial risk analysis.

Daniel Garcia Rasines, Roi Naveiro, David Ríos Insua, Simón Rodríguez Santana

Int. Trans. Oper. Res., July, 2025

2024

Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep Learning.

Luis A. Ortega, Simón Rodríguez Santana, Daniel Hernández-Lobato

CoRR, 2024

Variational Linearized Laplace Approximation for Bayesian Deep Learning.

Luis A. Ortega Andrés, Simón Rodríguez Santana, Daniel Hernández-Lobato

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Deep Variational Implicit Processes.

Luis A. Ortega, Simón Rodríguez Santana, Daniel Hernández-Lobato

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Adversarial α-divergence minimization for Bayesian approximate inference.

Simón Rodríguez Santana, Daniel Hernández-Lobato

Neurocomputing, 2022

Correcting Model Bias with Sparse Implicit Processes.

Simón Rodríguez Santana, Luis A. Ortega Andrés, Daniel Hernández-Lobato, Bryan Zaldivar

CoRR, 2022

Function-space Inference with Sparse Implicit Processes.

Simón Rodríguez Santana, Bryan Zaldivar, Daniel Hernández-Lobato

Proceedings of the International Conference on Machine Learning, 2022

2021

Sparse Implicit Processes for Approximate Inference.

Simón Rodríguez Santana, Bryan Zaldivar, Daniel Hernández-Lobato

CoRR, 2021