Ignacio Peis

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Unsupervised Learning

Markov Random Field

Missing Data Imputation

Top Venues

Pattern Recognit.

Frontiers Neuroinformatics

IEEE J. Biomed. Health Informatics

Publications

Berian James, Stefan Pollok, Ignacio Peis, Jes Frellsen, Rasmus Bjørk
Scalable physical source-to-field inference with hypernetworks. CoRR (2024)
Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML (2023)
Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR (2023)
Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
Unsupervised learning of global factors in deep generative models. Pattern Recognit. 134 (2023)
Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo. NeurIPS (2022)
Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo. CoRR (2022)
Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
Unsupervised Learning of Global Factors in Deep Generative Models. CoRR (2020)
Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez
Deep Sequential Models for Suicidal Ideation from Multiple Source Data. CoRR (2019)
Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez
Deep Sequential Models for Suicidal Ideation From Multiple Source Data. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Diego Castillo-Barnes, Ignacio Peis, Francisco Jesús Martínez-Murcia, Fermín Segovia, Ignacio A. Illán, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI. Frontiers Neuroinformatics 11 (2017)