Pablo M. Olmos | DeepAI

DeepAI

Featured Co-authors

Zoubin Ghahramani
90 publications
Fernando Perez-Cruz
30 publications
Isabel Valera
26 publications
Antonio Artés-Rodríguez
17 publications
Jussi Tohka
16 publications
David G. M. Mitchell
12 publications
Michael Lentmaier
12 publications
Michael Minyi Zhang
10 publications
Yanfang Liu
10 publications
Juan José Murillo-Fuentes
9 publications
Vanessa Gómez-Verdejo
9 publications

∙ 11/15/2022

Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks

Railway axle maintenance is critical to avoid catastrophic failures. Now...

Antía López Galdo, et al. ∙

∙ 07/19/2022

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space

Real-world databases are complex, they usually present redundancy and sh...

Alejandro Guerrero-López, et al. ∙

∙ 01/13/2022

Multi-task longitudinal forecasting with missing values on Alzheimer's Disease

Machine learning techniques typically applied to dementia forecasting la...

Carlos Sevilla-Salcedo, et al. ∙

∙ 01/12/2022

PyHHMM: A Python Library for Heterogeneous Hidden Markov Models

We introduce PyHHMM, an object-oriented open-source Python implementatio...

Fernando Moreno-Pino, et al. ∙

∙ 07/13/2021

Deep Autoregressive Models with Spectral Attention

Time series forecasting is an important problem across many domains, pla...

Fernando Moreno-Pino, et al. ∙

∙ 03/12/2021

Medical data wrangling with sequential variational autoencoders

Medical data sets are usually corrupted by noise and missing data. These...

Daniel Barrejón, et al. ∙

∙ 12/15/2020

Unsupervised Learning of Global Factors in Deep Generative Models

We present a novel deep generative model based on non i.i.d. variational...

Ignacio Peis, et al. ∙

∙ 12/04/2020

Boosting offline handwritten text recognition in historical documents with few labeled lines

In this paper, we face the problem of offline handwritten text recogniti...

José Carlos Aradillas, et al. ∙

∙ 06/01/2020

Bayesian Sparse Factor Analysis with Kernelized Observations

Latent variable models for multi-view learning attempt to find low-dimen...

Carlos Sevilla-Salcedo, et al. ∙

∙ 01/24/2020

Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis

The Bayesian approach to feature extraction, known as factor analysis (F...

Carlos Sevilla-Salcedo, et al. ∙

∙ 11/06/2019

Deep Sequential Models for Suicidal Ideation from Multiple Source Data

This article presents a novel method for predicting suicidal ideation fr...

Ignacio Peis, et al. ∙

∙ 11/04/2019

Improved BiGAN training with marginal likelihood equalization

We propose a novel training procedure for improving the performance of g...

Pablo Sánchez-Martín, et al. ∙

∙ 10/30/2019

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

Generalized low-density parity-check (GLDPC) codes are a class of LDPC c...

David G. M. Mitchell, et al. ∙

∙ 10/15/2019

On Generalized LDPC Codes for 5G Ultra Reliable Communication

Generalized low-density parity-check (GLDPC) codes, where single parity-...

Yanfang Liu, et al. ∙

∙ 10/15/2019

Probabilistic Time of Arrival Localization

In this paper, we take a new approach for time of arrival geo-localizati...

Fernando Perez-Cruz, et al. ∙

∙ 10/02/2019

Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference

In this paper we explore low-complexity probabilistic algorithms for sof...

Javier Cépedes, et al. ∙

∙ 01/28/2019

Out-of-Sample Testing for GANs

We propose a new method to evaluate GANs, namely EvalGAN. EvalGAN relies...

Pablo Sánchez-Martín, et al. ∙

∙ 07/10/2018

Handling Incomplete Heterogeneous Data using VAEs

Variational autoencoders (VAEs), as well as other generative models, hav...

Alfredo Nazabal, et al. ∙

∙ 04/04/2018

Boosting Handwriting Text Recognition in Small Databases with Transfer Learning

In this paper we deal with the offline handwriting text recognition (HTR...

José Carlos Aradillas, et al. ∙