A General Parametrization Framework for Pairwise Markov Models: An Application to Unsupervised Image Segmentation. - Hugo Gangloff; Katherine Morales; Yohan Petetin (MLSP, 2021)

Variational Bayesian Inference for Pairwise Markov Models. - Katherine Morales; Yohan Petetin (SSP, 2021)

A Probabilistic Semi-Supervised Approach with Triplet Markov Chains. - Katherine Morales; Yohan Petetin (MLSP, 2023)

Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data. - Hugo Gangloff; Katherine Morales; Yohan Petetin (Comput. Stat. Data Anal., 2023)

Generative Markov models for sequential bayesian classification. (Modèles de Markov génératifs pour la classification séquentielle bayésienne). - Katherine Morales (2024)