A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI. - Diego Castillo-Barnes; Ignacio Peis; Francisco Jesús Martínez-Murcia; Fermín Segovia; Ignacio A. Illán; Juan Manuel Górriz; Javier Ramírez 001; Diego Salas-Gonzalez (Frontiers Neuroinformatics, 2017)

Deep Sequential Models for Suicidal Ideation From Multiple Source Data. - Ignacio Peis; Pablo M. Olmos; Constanza Vera-Varela; María Luisa Barrigón; Philippe Courtet; Enrique Baca-García; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2019)

Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo. - Ignacio Peis; Chao Ma 019; José Miguel Hernández-Lobato (NeurIPS, 2022)

Variational Mixture of HyperGenerators for Learning Distributions over Functions. - Batuhan Koyuncu; Pablo Sánchez-Martín; Ignacio Peis; Pablo M. Olmos; Isabel Valera (ICML, 2023)

Unsupervised learning of global factors in deep generative models. - Ignacio Peis; Pablo M. Olmos; Antonio Artés-Rodríguez (Pattern Recognit., 2023)

Scalable physical source-to-field inference with hypernetworks. - Berian James; Stefan Pollok; Ignacio Peis; Jes Frellsen; Rasmus Bjørk (CoRR, 2024)

Hyper-Transforming Latent Diffusion Models. - Ignacio Peis; Batuhan Koyuncu; Isabel Valera; Jes Frellsen (CoRR, 2025)