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Ignacio Peis
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Journal Articles
- 2023
- [j3]Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez:
Unsupervised learning of global factors in deep generative models. Pattern Recognit. 134: 109130 (2023) - 2019
- [j2]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): 2286-2293 (2019) - 2017
- [j1]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: 66 (2017)
Conference and Workshop Papers
- 2023
- [c2]Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera:
Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML 2023: 17660-17683 - 2022
- [c1]Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato:
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo. NeurIPS 2022
Informal and Other Publications
- 2024
- [i5]Berian James, Stefan Pollok, Ignacio Peis, Jes Frellsen, Rasmus Bjørk:
Scalable physical source-to-field inference with hypernetworks. CoRR abs/2405.05981 (2024) - 2023
- [i4]Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera:
Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR abs/2302.06223 (2023) - 2022
- [i3]Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato:
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo. CoRR abs/2202.04599 (2022) - 2020
- [i2]Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez:
Unsupervised Learning of Global Factors in Deep Generative Models. CoRR abs/2012.08234 (2020) - 2019
- [i1]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 abs/1911.03522 (2019)
Coauthor Index
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