Pablo M. Olmos

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Universidad Carlos III de Madrid

Unsupervised Learning of Global Factors in Deep Generative Models

We present a novel deep generative model based on non i.i.d. variational...
12/15/2020 ∙ by Ignacio Peis, et al. ∙ 22 ∙ share

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Boosting offline handwritten text recognition in historical documents with few labeled lines

In this paper, we face the problem of offline handwritten text recogniti...
12/04/2020 ∙ by José Carlos Aradillas, et al. ∙ 0 ∙ share

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Bayesian Sparse Factor Analysis with Kernelized Observations

Latent variable models for multi-view learning attempt to find low-dimen...
06/01/2020 ∙ by Carlos Sevilla-Salcedo, et al. ∙ 0 ∙ share

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Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis

The Bayesian approach to feature extraction, known as factor analysis (F...
01/24/2020 ∙ by Carlos Sevilla-Salcedo, et al. ∙ 7 ∙ share

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Deep Sequential Models for Suicidal Ideation from Multiple Source Data

This article presents a novel method for predicting suicidal ideation fr...
11/06/2019 ∙ by Ignacio Peis, et al. ∙ 0 ∙ share

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Improved BiGAN training with marginal likelihood equalization

We propose a novel training procedure for improving the performance of g...
11/04/2019 ∙ by Pablo Sánchez-Martín, et al. ∙ 8 ∙ share

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Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling

Generalized low-density parity-check (GLDPC) codes are a class of LDPC c...
10/30/2019 ∙ by David G. M. Mitchell, et al. ∙ 0 ∙ share

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On Generalized LDPC Codes for 5G Ultra Reliable Communication

Generalized low-density parity-check (GLDPC) codes, where single parity-...
10/15/2019 ∙ by Yanfang Liu, et al. ∙ 0 ∙ share

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Probabilistic Time of Arrival Localization

In this paper, we take a new approach for time of arrival geo-localizati...
10/15/2019 ∙ by Fernando Perez-Cruz, et al. ∙ 0 ∙ share

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Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference

In this paper we explore low-complexity probabilistic algorithms for sof...
10/02/2019 ∙ by Javier Cépedes, et al. ∙ 0 ∙ share

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Out-of-Sample Testing for GANs

We propose a new method to evaluate GANs, namely EvalGAN. EvalGAN relies...
01/28/2019 ∙ by Pablo Sánchez-Martín, et al. ∙ 0 ∙ share

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Handling Incomplete Heterogeneous Data using VAEs

Variational autoencoders (VAEs), as well as other generative models, hav...
07/10/2018 ∙ by Alfredo Nazabal, et al. ∙ 0 ∙ share

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Boosting Handwriting Text Recognition in Small Databases with Transfer Learning

In this paper we deal with the offline handwriting text recognition (HTR...
04/04/2018 ∙ by José Carlos Aradillas, et al. ∙ 0 ∙ share

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Pablo M. Olmos

Featured Co-authors

Zoubin Ghahramani

Isabel Valera

Fernando Perez-Cruz

Antonio Artés-Rodríguez

Michael Lentmaier

Michael Minyi Zhang

Juan José Murillo-Fuentes

Yanfang Liu

David G. M. Mitchell

Alfredo Nazabal

Vanessa Gómez-Verdejo

Unsupervised Learning of Global Factors in Deep Generative Models

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

Bayesian Sparse Factor Analysis with Kernelized Observations

Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis

Deep Sequential Models for Suicidal Ideation from Multiple Source Data

Improved BiGAN training with marginal likelihood equalization

Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling

On Generalized LDPC Codes for 5G Ultra Reliable Communication

Probabilistic Time of Arrival Localization

Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference

Out-of-Sample Testing for GANs

Handling Incomplete Heterogeneous Data using VAEs

Boosting Handwriting Text Recognition in Small Databases with Transfer Learning