Lessons Clustering Using Topics Inferred by Unsupervised Modeling from Textbooks. - Matías Altamirano; Abelino Jiménez; Roberto Araya (MIS4TEL, 2020)

Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures. - Matías Altamirano; Felipe A. Tobar (AISTATS, 2022)

Unsupervised characterization of lessons according to temporal patterns of teacher talk via topic modeling. - Matías Altamirano; Pablo Uribe; Danner Schlotterbeck; Abelino Jiménez; Roberto Araya; Johan Van der Molen Moris; Daniela Caballero (Neurocomputing, 2022)

Robust and Scalable Bayesian Online Changepoint Detection. - Matías Altamirano; François-Xavier Briol; Jeremias Knoblauch (ICML, 2023)

Robust and Conjugate Gaussian Process Regression. - Matías Altamirano; François-Xavier Briol; Jeremias Knoblauch (ICML, 2024)

Outlier-robust Kalman Filtering through Generalised Bayes. - Gerardo Duran-Martin; Matías Altamirano; Alexander Y. Shestopaloff; Leandro Sánchez-Betancourt; Jeremias Knoblauch; Matt Jones 002; François-Xavier Briol; Kevin Patrick Murphy (ICML, 2024)