An interpretable probabilistic machine learning method for heterogeneous longitudinal studies. - Juho Timonen; Henrik Mannerström; Aki Vehtari; Harri Lähdesmäki (CoRR, 2019)

A Probabilistic Framework for Molecular Network Structure Inference by Means of Mechanistic Modeling. - Juho Timonen; Henrik Mannerström; Harri Lähdesmäki; Jukka Intosalmi (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

lgpr: an interpretable non-parametric method for inferring covariate effects from longitudinal data. - Juho Timonen; Henrik Mannerström; Aki Vehtari; Harri Lähdesmäki (Bioinform., 2021)

Scalable mixed-domain Gaussian processes. - Juho Timonen; Harri Lähdesmäki (CoRR, 2021)