BNqMark: Bayesian-Network Inference in Large Language Models
PGM 2026
F. Rodríguez, B. Mihaljević
Small Encoders Can Rival Large Decoders in Detecting Groundedness
ACL 2025
I. Abbes, G. Prato, Q. Fournier, F. Rodríguez, A. Boukhary, A. Elwood, S. Chandar
Multi-partition clustering of mixed data with Bayesian networks
IJIS 2022
F. Rodríguez-Sánchez, C. Bielza, P. Larrañaga
Identifying Parkinson's disease subtypes with motor and non-motor symptoms via model-based clustering
Sci Rep 2021
F. Rodríguez-Sánchez, C. Rodríguez-Blázquez, C. Bielza, P. Larrañaga, D. Weintraub, P. Martínez-Martín, A. Rizos, A. Schrag, K. R. Chaudhuri
Incremental learning of latent forests
IEEE Access 2020
F. Rodríguez-Sánchez, P. Larrañaga, C. Bielza
Discrete model-based clustering with overlapping subsets of attributes
PGM 2018
F. Rodríguez-Sánchez, P. Larrañaga, C. Bielza
Multi-facet determination for clustering with Bayesian networks
Tech. Rep. 2017
F. Rodríguez-Sánchez, P. Larrañaga, C. Bielza