Pablo M. Olmos

(olmos@tsc.uc3m.es)

PhD. in Telecommunications Engineering
Associate Professor (Prof. Titular), Signal Processing Group (GTS), Universidad Carlos III de Madrid

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Topic Modeling and Text Recognition in Historical Documents.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)

Deep Sequential Models for Suicidal Ideation from Multiple Source Data. Ignacio Peis, Pablo M. Olmos, et al.