Pablo M. Olmos

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 69

Top Venues

Publications

Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher
Efficient local linearity regularization to overcome catastrophic overfitting. CoRR (2024)
José Manuel de Frutos, Pablo M. Olmos, Manuel Alberto Vazquez Lopez, Joaquín Míguez
Training Implicit Generative Models via an Invariant Statistical Loss. AISTATS (2024)
Mikkel Jordahn, Pablo M. Olmos
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks. CoRR (2024)
Lorena Gallego-Viñarás, Juan Miguel Mira-Tomas, Anna Michela-Gaeta, Gerard Pinol-Ripoll, Ferran Barbé, Pablo M. Olmos, Arrate Muñoz-Barrutia
Alzheimer's disease detection in PSG signals. CoRR (2024)
José Manuel de Frutos, Pablo M. Olmos, Manuel A. Vázquez, Joaquín Míguez
Training Implicit Generative Models via an Invariant Statistical Loss. CoRR (2024)
Elías Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher
Efficient local linearity regularization to overcome catastrophic overfitting. ICLR (2024)
Óscar Jiménez Rama, Fernando Moreno-Pino, David Ramírez, Pablo M. Olmos
Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering. CoRR (2023)
Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
Deep autoregressive models with spectral attention. Pattern Recognit. 133 (2023)
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
Enhancing diversity in GANs via non-uniform sampling. Inf. Sci. 637 (2023)
Antía López Galdo, Alejandro Guerrero-López, Pablo M. Olmos, María Jesús Gómez García
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks. Eng. Appl. Artif. Intell. 126 (2023)
Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML (2023)
Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz
Regularizing transformers with deep probabilistic layers. Neural Networks 161 (2023)
Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR (2023)
Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Ana Candela, Marta Hernández-García, Emilia Cercenado, Pablo M. Olmos, Rafael Cantón, Patricia Muñoz, Vanessa Gómez-Verdejo, Rosa del Campo, Belén Rodríguez-Sánchez
based on MALDI-TOF mass spectra. Eng. Appl. Artif. Intell. 118 (2023)
María Martínez-García, Pablo M. Olmos
Handling Ill-Conditioned Omics Data With Deep Probabilistic Models. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
Unsupervised learning of global factors in deep generative models. Pattern Recognit. 134 (2023)
María Martínez-García, Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data. CoRR (2023)
Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez
Medical Data Wrangling With Sequential Variational Autoencoders. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Fernando Moreno-Pino, Emese Sükei, Pablo M. Olmos, Antonio Artés-Rodríguez
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. CoRR (2022)
Antía López Galdo, Alejandro Guerrero-López, Pablo M. Olmos, María Jesús Gómez García
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks. CoRR (2022)
Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo
Bayesian sparse factor analysis with kernelized observations. Neurocomputing 490 (2022)
Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease. CoRR (2022)
Fernando Moreno-Pino, María Martínez-García, Pablo M. Olmos, Antonio Artés-Rodríguez
Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data. CoRR (2022)
Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
Multi-task longitudinal forecasting with missing values on Alzheimer's disease. Comput. Methods Programs Biomed. 226 (2022)
Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. CoRR (2022)
Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado
Safe importance sampling based on partial posteriors and neural variational approximations. EUSIPCO (2022)
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
Boosting Offline Handwritten Text Recognition in Historical Documents With Few Labeled Lines. IEEE Access 9 (2021)
Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
Deep Autoregressive Models with Spectral Attention. CoRR (2021)
Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez
Medical data wrangling with sequential variational autoencoders. CoRR (2021)
David G. M. Mitchell, Pablo M. Olmos, Michael Lentmaier, Daniel J. Costello Jr.
Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling. IEEE Trans. Inf. Theory 67 (6) (2021)
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
Sparse semi-supervised heterogeneous interbattery bayesian analysis. Pattern Recognit. 120 (2021)
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis. CoRR (2020)
Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
Handling incomplete heterogeneous data using VAEs. Pattern Recognit. 107 (2020)
Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo
Bayesian Sparse Factor Analysis with Kernelized Observations. CoRR (2020)
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
Boosting offline handwritten text recognition in historical documents with few labeled lines. CoRR (2020)
Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
On the Design of Generalized LDPC Codes with Component BCJR Decoding. GLOBECOM (2020)
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
Improving offline HTR in small datasets by purging unreliable labels. ICFHR (2020)
Gonzalo Rios-Muñoz, Fernando Moreno-Pino, Nina Soto, Pablo M. Olmos, Antonio Artés-Rodríguez, Francisco Fernandez-Aviles, Angel Arenal
Hidden Markov Models for Activity Detection in Atrial Fibrillation Electrograms. CinC (2020)
Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
Unsupervised Learning of Global Factors in Deep Generative Models. CoRR (2020)
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
Improved BiGAN training with marginal likelihood equalization. CoRR (2019)
Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
Probabilistic Time of Arrival Localization. IEEE Signal Process. Lett. 26 (11) (2019)
Javier Céspedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference. CoRR (2019)
Antonio Martínez-Olmos, Pablo M. Olmos, Miguel M. Erenas, Pablo Escobedo
Portable Multispectral System Based on Color Detector for the Analysis of Homogeneous Surfaces. J. Sensors 2019 (2019)
Yanfang Liu, Pablo M. Olmos, Tobias Koch
A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC. IEEE Trans. Inf. Theory 65 (8) (2019)
David G. M. Mitchell, Pablo M. Olmos, Michael Lentmaier, Daniel J. Costello Jr.
Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling. CoRR (2019)
Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
Probabilistic Time of Arrival Localization. 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. 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)
Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
On Generalized LDPC Codes for 5G Ultra Reliable Communication. CoRR (2019)
Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
Out-of-Sample Testing for GANs. CoRR (2019)
Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
On Generalized LDPC Codes for 5G Ultra Reliable Communication. ITW (2018)
Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
Handling Incomplete Heterogeneous Data using VAEs. CoRR (2018)
José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
Boosting Handwriting Text Recognition in Small Databases with Transfer Learning. CoRR (2018)
José Carlos Aradillas Jaramillo, Juan José Murillo-Fuentes, Pablo M. Olmos
Boosting Handwriting Text Recognition in Small Databases with Transfer Learning. ICFHR (2018)
Irene Santos Velázquez, Juan José Murillo-Fuentes, Eva Arias-de-Reyna, Pablo M. Olmos
Turbo EP-Based Equalization: A Filter-Type Implementation. IEEE Trans. Commun. 66 (9) (2018)
Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
Generalized LDPC Codes for Ultra Reliable Low Latency Communication in 5G and Beyond. IEEE Access 6 (2018)
Daniel J. Costello Jr., David G. M. Mitchell, Pablo M. Olmos, Michael Lentmaier
Spatially Coupled Generalized LDPC Codes: Introduction and Overview. ISTC (2018)
Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference. IEEE Trans. Veh. Technol. 67 (4) (2018)
Yanfang Liu, Pablo M. Olmos, Tobias Koch
A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC. CoRR (2017)
Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
Continuous Transmission of Spatially Coupled LDPC Code Chains. IEEE Trans. Commun. 65 (12) (2017)
Irene Santos Velázquez, Juan José Murillo-Fuentes, Eva Arias-de-Reyna, Pablo M. Olmos
Probabilistic Equalization With a Smoothing Expectation Propagation Approach. IEEE Trans. Wirel. Commun. 16 (5) (2017)
Yanfang Liu, Pablo M. Olmos, Tobias Koch
On LDPC code ensembles with generalized constraints. ISIT (2017)
Irene Santos Velázquez, Juan José Murillo-Fuentes, Rafael Boloix-Tortosa, Eva Arias-de-Reyna, Pablo M. Olmos
Expectation Propagation as Turbo Equalizer in ISI Channels. IEEE Trans. Commun. 65 (1) (2017)
Markus Stinner, Pablo M. Olmos
On the Waterfall Performance of Finite-Length SC-LDPC Codes Constructed From Protographs. IEEE J. Sel. Areas Commun. 34 (2) (2016)
Markus Stinner, Luca Barletta, Pablo M. Olmos
Finite-length scaling based on Belief Propagation for spatially coupled LDPC codes. ISIT (2016)
Melanie F. Pradier, Pablo M. Olmos, Fernando Pérez-Cruz
Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit. Entropy 18 (12) (2016)
Markus Stinner, Luca Barletta, Pablo M. Olmos
Finite-length scaling based on belief propagation for spatially coupled LDPC codes. CoRR (2016)
Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz
Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. Neural Comput. 28 (2) (2016)
Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
Continuous Transmission of Spatially-Coupled LDPC Code Chains. CoRR (2016)
Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. CoRR (2015)
Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz, Sergio Verdú
Approaching the DT Bound Using Linear Codes in the Short Blocklength Regime. IEEE Commun. Lett. 19 (2) (2015)
Pablo M. Olmos, David G. M. Mitchell, Daniel J. Costello Jr.
Analyzing the finite-length performance of generalized LDPC codes. ISIT (2015)
Iryna Andriyanova, Pablo M. Olmos
On Distributed Storage Allocations for Memory-Limited Systems. CoRR (2015)
Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
Scalable multi-output label prediction: From classifier chains to classifier trellises. Pattern Recognit. 48 (6) (2015)
Pablo M. Olmos, Rüdiger L. Urbanke
A Scaling Law to Predict the Finite-Length Performance of Spatially-Coupled LDPC Codes. IEEE Trans. Inf. Theory 61 (6) (2015)
Iryna Andriyanova, Pablo M. Olmos
On Distributed Storage Allocations for Memory-Limited Systems. GLOBECOM (2015)
Markus Stinner, Pablo M. Olmos
Finite-length performance of multi-edge protograph-based spatially coupled LDPC codes. ISIT (2015)
Irene Santos Velázquez, Juan José Murillo-Fuentes, Pablo M. Olmos
Block expectation propagation equalization for ISI channels. EUSIPCO (2015)
Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems. IEEE Trans. Commun. 62 (8) (2014)
Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
Improving the finite-length performance of long SC-LDPC code chains by connecting consecutive chains. ISTC (2014)
Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
Improved performance of LDPC-coded MIMO systems with EP-based soft-decisions. ISIT (2014)
Markus Stinner, Pablo M. Olmos
Analyzing Finite-length Protograph-based Spatially Coupled LDPC Codes. CoRR (2014)
Markus Stinner, Pablo M. Olmos
Analyzing finite-length protograph-based spatially coupled LDPC codes. ISIT (2014)
Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
Improving the Finite-Length Performance of Spatially Coupled LDPC Codes by Connecting Multiple Code Chains. CoRR (2014)
Pablo M. Olmos, Rüdiger L. Urbanke
A Scaling Law to Predict the Finite-Length Performance of Spatially-Coupled LDPC Codes. CoRR (2014)
Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
Tree-Structure Expectation Propagation for LDPC Decoding Over the BEC. IEEE Trans. Inf. Theory 59 (6) (2013)
Pablo M. Olmos, Rüdiger L. Urbanke
A closed-form scaling law for convolutional LDPC codes over the BEC. ITW (2013)
Luis Salamanca, Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC. IEEE Trans. Commun. 61 (2) (2013)
Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz
Improving the BP estimate over the AWGN channel using Tree-structured expectation propagation. ISIT (2013)
Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
A finite length performance analysis of LDPC codes constructed by connecting spatially coupled chains. ITW (2013)
Luis Salamanca, Pablo M. Olmos, Fernando Pérez-Cruz, Juan José Murillo-Fuentes
Tree-Structured Expectation Propagation for LDPC Decoding over BMS Channels. IEEE Trans. Commun. 61 (10) (2013)
Pablo M. Olmos, Fernando Pérez-Cruz, Luis Salamanca, Juan José Murillo-Fuentes
Finite-length performance of spatially-coupled LDPC codes under TEP decoding. ITW (2012)
José Carlos Reyes-Guerrero, Juan José Murillo-Fuentes, Pablo M. Olmos
Remote detection of interfered downlinks in wireless cellular systems. Trans. Emerg. Telecommun. Technol. 23 (5) (2012)
Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz
Tree-structured expectation propagation for LDPC decoding over the AWGN channel. MLSP (2012)
Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
Tree-Structure Expectation Propagation for LDPC Decoding over the BEC CoRR (2012)
Pablo M. Olmos, Juan José Murillo-Fuentes, Guillermo Esteve
Remote Detection of a Frequency Jammer Operating in the Down Link of a Cellular System. Wirel. Pers. Commun. 63 (4) (2012)
Pablo M. Olmos, Fernando Pérez-Cruz, Luis Salamanca, Juan José Murillo-Fuentes
Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC. ISIT (2012)
Pablo M. Olmos, Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
On the Design of LDPC-Convolutional Ensembles Using the TEP Decoder. IEEE Commun. Lett. 16 (5) (2012)
Pablo M. Olmos, Rüdiger L. Urbanke
Scaling behavior of convolutional LDPC ensembles over the BEC. ISIT (2011)
Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
Capacity achieving LDPC ensembles for the TEP decoder in erasure channels. ISIT (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pablo M. Olmos