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Picture for Pablo M. Olmos

Unsupervised Learning of Global Factors in Deep Generative Models


Dec 16, 2020
Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez


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Boosting offline handwritten text recognition in historical documents with few labeled lines


Dec 04, 2020
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos


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Bayesian Sparse Factor Analysis with Kernelized Observations


Jun 10, 2020
Carlos Sevilla-Salcedo, Alejandro Guerrero-LĂłpez, Pablo M. Olmos, Vanessa GĂłmez-Verdejo

* Article submitted to NeurIPS 2020 

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Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis


Jan 24, 2020
Carlos Sevilla-Salcedo, Vanessa GĂłmez-Verdejo, Pablo M. Olmos


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Deep Sequential Models for Suicidal Ideation from Multiple Source Data


Nov 06, 2019
Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez

* Journal of Biomedical and Health Informatics, vol.23, no. 6, 2019 
* Accepted for publication in IEEE Journal of Biomedical and Health Informatics (JBHI) 

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Improved BiGAN training with marginal likelihood equalization


Nov 04, 2019
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Perez-Cruz


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Probabilistic Time of Arrival Localization


Oct 15, 2019
Fernando Perez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang

* IEEE Signal Processing Letters, 2019 

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Out-of-Sample Testing for GANs


Jan 28, 2019
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz


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Handling Incomplete Heterogeneous Data using VAEs


Oct 30, 2018
Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera


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Boosting Handwriting Text Recognition in Small Databases with Transfer Learning


Apr 04, 2018
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos

* ICFHR 2018 Conference 

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