I. Peis

Actigraphic recording of motor activity in depressed inpatients: a novel computational approach to prediction of clinical course and hospital discharge

E. Baca-García, M. Pérez-Rodríguez, A. Artés-Rodríguez, 2020, Scientific Reports.

Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo

José Miguel Hernández-Lobato, Chao Ma, I. Peis, 2022, ArXiv.

Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo

José Miguel Hernández-Lobato, Chao Ma, I. Peis, 2022, ArXiv.

Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo

José Miguel Hernández-Lobato, Chao Ma, I. Peis, 2022, ArXiv.

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI

Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, 2017, Front. Neuroinform..

Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo

José Miguel Hernández-Lobato, Chao Ma, I. Peis, 2022, NeurIPS.

Deep Sequential Models for Suicidal Ideation From Multiple Source Data

Pablo M. Olmos, Antonio Artés-Rodríguez, Philippe Courtet, 2019, IEEE Journal of Biomedical and Health Informatics.

Variational Mixture of HyperGenerators for Learning Distributions Over Functions

I. Valera, P. Olmos, Batuhan Koyuncu, 2023, arXiv.org.

Unsupervised Learning of Global Factors in Deep Generative Models pdf

Pablo M. Olmos, Antonio Art'es-Rodr'iguez, Ignacio Peis, 2020, Pattern Recognit..

Variational Mixture of HyperGenerators for Learning Distributions Over Functions

I. Valera, P. Olmos, Batuhan Koyuncu, 2023, ICML.