Code

Deep Generative Models — Video Materials

Contribution to the audiovisual teaching materials for the Procesado Avanzado de Señales y Datos course.

Educational resources on deep generative models.

Application Projects — MUTSC

Teaching materials and practical resources for the Application Projects course in the Master's Degree in Signal Theory and Communications.

SAMVAE

Open-source implementation of a multimodal variational autoencoder for survival analysis with competing risks.

Code associated with the article “Deep Survival Analysis in Multimodal Medical Data: A Parametric and Probabilistic Approach with Competing Risks.”

Jensen–Shannon Divergence Estimators

Open-source package for the implementation and evaluation of Jensen–Shannon divergence estimators for synthetic-data validation.

Code associated with the preprint “Not All Jensen-Shannon Divergence Estimators Are Equal.”