Pablo M. Olmos


Research interests

My research interests are in the area of machine learning, with applications in biomedical engineering and digital communications. Currently, I work on the following problems:

  • Approximate Inference in Probabilistic Graphical Models.

  • Neural Variatonal Inference and Deep Generative Models. Applications to Psychiatry and Human Behavior Modelling.

  • Topic Modeling and Text Recognition in Historical Documents.

  • Probabilistic Models and Amortized Inference.

Latest news!

Paper posted in Arxiv (January 2020)

Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis. Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos

Paper accepted at IEEE Signal Processing Letters (September 2019)

Probabilistic Time of Arrival Localization. Fernando Pérez-Cruz, Pablo M. Olmos, et al.

Paper accepted at IEEE Journal of Biomedical and Health Informatics (May 2019)