Soft LDPC decoding in nonlinear channels with Gaussian processes for classification. - Pablo Martinez-Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (EUSIPCO, 2009)

Analyzing signal strength versus quality levels in cellular systems: A case study in GSM. - Pablo Martinez-Olmos; Juan José Murillo-Fuentes; Guillermo Esteve (PIMRC, 2009)

Tree-structure expectation propagation for decoding LDPC codes over binary erasure channels. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (ISIT, 2010)

Tree-structure Expectation Propagation for Decoding LDPC codes over Binary Erasure Channels - Pablo M. Olmos; Juan José Murillo-Fuentes (CoRR, 2010)

Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Trans. Signal Process., 2010)

Capacity achieving LDPC ensembles for the TEP decoder in erasure channels. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (ISIT, 2011)

Scaling behavior of convolutional LDPC ensembles over the BEC. - Pablo M. Olmos; Rüdiger L. Urbanke (ISIT, 2011)

MAP decoding for LDPC codes over the binary erasure channel. - Luis Salamanca; Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (ITW, 2011)

An Application of Tree-Structured Expectation Propagation for Channel Decoding. - Pablo M. Olmos; Luis Salamanca; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (NIPS, 2011)

Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Commun. Lett., 2011)

Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC. - Pablo M. Olmos; Fernando Pérez-Cruz; Luis Salamanca; Juan José Murillo-Fuentes (ISIT, 2012)

Finite-length performance of spatially-coupled LDPC codes under TEP decoding. - Pablo M. Olmos; Fernando Pérez-Cruz; Luis Salamanca; Juan José Murillo-Fuentes (ITW, 2012)

Tree-structured expectation propagation for LDPC decoding over the AWGN channel. - Luis Salamanca; Juan José Murillo-Fuentes; Pablo M. Olmos; Fernando Pérez-Cruz (MLSP, 2012)

Remote detection of interfered downlinks in wireless cellular systems. - José Carlos Reyes-Guerrero; Juan José Murillo-Fuentes; Pablo M. Olmos (Trans. Emerg. Telecommun. Technol., 2012)

On the Design of LDPC-Convolutional Ensembles Using the TEP Decoder. - Pablo M. Olmos; Luis Salamanca; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Commun. Lett., 2012)

Remote Detection of a Frequency Jammer Operating in the Down Link of a Cellular System. - Pablo M. Olmos; Juan José Murillo-Fuentes; Guillermo Esteve (Wirel. Pers. Commun., 2012)

Improving the BP estimate over the AWGN channel using Tree-structured expectation propagation. - Luis Salamanca; Juan José Murillo-Fuentes; Pablo M. Olmos; Fernando Pérez-Cruz (ISIT, 2013)

A finite length performance analysis of LDPC codes constructed by connecting spatially coupled chains. - Pablo M. Olmos; David G. M. Mitchell; Dmitri V. Truhachev; Daniel J. Costello Jr. (ITW, 2013)

A closed-form scaling law for convolutional LDPC codes over the BEC. - Pablo M. Olmos; Rüdiger L. Urbanke (ITW, 2013)

Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC. - Luis Salamanca; Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Trans. Commun., 2013)

Tree-Structured Expectation Propagation for LDPC Decoding over BMS Channels. - Luis Salamanca; Pablo M. Olmos; Fernando Pérez-Cruz; Juan José Murillo-Fuentes (IEEE Trans. Commun., 2013)

Tree-Structure Expectation Propagation for LDPC Decoding Over the BEC. - Pablo M. Olmos; Juan José Murillo-Fuentes; Fernando Pérez-Cruz (IEEE Trans. Inf. Theory, 2013)

Improved performance of LDPC-coded MIMO systems with EP-based soft-decisions. - Javier Cespedes; Pablo M. Olmos; Matilde Sánchez Fernández; Fernando Pérez-Cruz (ISIT, 2014)

Analyzing finite-length protograph-based spatially coupled LDPC codes. - Markus Stinner; Pablo M. Olmos (ISIT, 2014)

Improving the finite-length performance of long SC-LDPC code chains by connecting consecutive chains. - Pablo M. Olmos; David G. M. Mitchell; Dmitri V. Truhachev; Daniel J. Costello Jr. (ISTC, 2014)

Improving the Finite-Length Performance of Spatially Coupled LDPC Codes by Connecting Multiple Code Chains. - Pablo M. Olmos; David G. M. Mitchell; Dmitri V. Truhachev; Daniel J. Costello Jr. (CoRR, 2014)

Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems. - Javier Cespedes; Pablo M. Olmos; Matilde Sánchez Fernández; Fernando Pérez-Cruz (IEEE Trans. Commun., 2014)

Block expectation propagation equalization for ISI channels. - Irene Santos Velázquez; Juan José Murillo-Fuentes; Pablo M. Olmos (EUSIPCO, 2015)

On Distributed Storage Allocations for Memory-Limited Systems. - Iryna Andriyanova; Pablo M. Olmos (GLOBECOM, 2015)

Analyzing the finite-length performance of generalized LDPC codes. - Pablo M. Olmos; David G. M. Mitchell; Daniel J. Costello Jr. (ISIT, 2015)

Finite-length performance of multi-edge protograph-based spatially coupled LDPC codes. - Markus Stinner; Pablo M. Olmos (ISIT, 2015)

Approaching the DT Bound Using Linear Codes in the Short Blocklength Regime. - Luis Salamanca; Juan José Murillo-Fuentes; Pablo M. Olmos; Fernando Pérez-Cruz; Sergio Verdú (IEEE Commun. Lett., 2015)

Scalable multi-output label prediction: From classifier chains to classifier trellises. - Jesse Read; Luca Martino; Pablo M. Olmos; David Luengo (Pattern Recognit., 2015)

A Scaling Law to Predict the Finite-Length Performance of Spatially-Coupled LDPC Codes. - Pablo M. Olmos; Rüdiger L. Urbanke (IEEE Trans. Inf. Theory, 2015)

Finite-length scaling based on Belief Propagation for spatially coupled LDPC codes. - Markus Stinner; Luca Barletta; Pablo M. Olmos (ISIT, 2016)

Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit. - Melanie F. Pradier; Pablo M. Olmos; Fernando Pérez-Cruz (Entropy, 2016)

On the Waterfall Performance of Finite-Length SC-LDPC Codes Constructed From Protographs. - Markus Stinner; Pablo M. Olmos (IEEE J. Sel. Areas Commun., 2016)

Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. - Isabel Valera; Francisco J. R. Ruiz; Pablo M. Olmos; Carlos Blanco 002; Fernando Pérez-Cruz (Neural Comput., 2016)

On LDPC code ensembles with generalized constraints. - Yanfang Liu; Pablo M. Olmos; Tobias Koch 001 (ISIT, 2017)

Continuous Transmission of Spatially Coupled LDPC Code Chains. - Pablo M. Olmos; David G. M. Mitchell; Dmitri V. Truhachev; Daniel J. Costello Jr. (IEEE Trans. Commun., 2017)

Expectation Propagation as Turbo Equalizer in ISI Channels. - Irene Santos Velázquez; Juan José Murillo-Fuentes; Rafael Boloix-Tortosa; Eva Arias-de-Reyna; Pablo M. Olmos (IEEE Trans. Commun., 2017)

Probabilistic Equalization With a Smoothing Expectation Propagation Approach. - Irene Santos Velázquez; Juan José Murillo-Fuentes; Eva Arias-de-Reyna; Pablo M. Olmos (IEEE Trans. Wirel. Commun., 2017)

Boosting Handwriting Text Recognition in Small Databases with Transfer Learning. - José Carlos Aradillas Jaramillo; Juan José Murillo-Fuentes; Pablo M. Olmos (ICFHR, 2018)

Spatially Coupled Generalized LDPC Codes: Introduction and Overview. - Daniel J. Costello Jr.; David G. M. Mitchell; Pablo M. Olmos; Michael Lentmaier (ISTC, 2018)

On Generalized LDPC Codes for 5G Ultra Reliable Communication. - Yanfang Liu; Pablo M. Olmos; David G. M. Mitchell (ITW, 2018)

Generalized LDPC Codes for Ultra Reliable Low Latency Communication in 5G and Beyond. - Yanfang Liu; Pablo M. Olmos; David G. M. Mitchell (IEEE Access, 2018)

Turbo EP-Based Equalization: A Filter-Type Implementation. - Irene Santos Velázquez; Juan José Murillo-Fuentes; Eva Arias-de-Reyna; Pablo M. Olmos (IEEE Trans. Commun., 2018)

Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference. - Javier Cespedes; Pablo M. Olmos; Matilde Sánchez Fernández; Fernando Pérez-Cruz (IEEE Trans. Veh. Technol., 2018)

Out-of-Sample Testing for GANs. - Pablo Sánchez-Martín; Pablo M. Olmos; Fernando Pérez-Cruz (CoRR, 2019)

Improved BiGAN training with marginal likelihood equalization. - Pablo Sánchez-Martín; Pablo M. Olmos; Fernando Pérez-Cruz (CoRR, 2019)

Portable Multispectral System Based on Color Detector for the Analysis of Homogeneous Surfaces. - Antonio Martínez-Olmos; Pablo M. Olmos; Miguel M. Erenas; Pablo Escobedo 001 (J. Sensors, 2019)

Probabilistic Time of Arrival Localization. - Fernando Pérez-Cruz; Pablo M. Olmos; Michael Minyi Zhang; Howard Huang (IEEE Signal Process. Lett., 2019)

A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC. - Yanfang Liu; Pablo M. Olmos; Tobias Koch 001 (IEEE Trans. Inf. Theory, 2019)

Deep Sequential Models for Suicidal Ideation From Multiple Source Data. - Ignacio Peis; Pablo M. Olmos; Constanza Vera-Varela; María Luisa Barrigón; Philippe Courtet; Enrique Baca-García; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2019)

Hidden Markov Models for Activity Detection in Atrial Fibrillation Electrograms. - Gonzalo Rios-Muñoz; Fernando Moreno-Pino; Nina Soto; Pablo M. Olmos; Antonio Artés-Rodríguez; Francisco Fernandez-Aviles; Angel Arenal (CinC, 2020)

On the Design of Generalized LDPC Codes with Component BCJR Decoding. - Yanfang Liu; Pablo M. Olmos; David G. M. Mitchell (GLOBECOM, 2020)

Improving offline HTR in small datasets by purging unreliable labels. - José Carlos Aradillas; Juan José Murillo-Fuentes; Pablo M. Olmos (ICFHR, 2020)

Robust Sampling in Deep Learning. - Aurora Cobo Aguilera; Antonio Artés-Rodríguez; Fernando Pérez-Cruz; Pablo Martinez-Olmos (CoRR, 2020)

Handling incomplete heterogeneous data using VAEs. - Alfredo Nazábal; Pablo M. Olmos; Zoubin Ghahramani; Isabel Valera (Pattern Recognit., 2020)

Boosting Offline Handwritten Text Recognition in Historical Documents With Few Labeled Lines. - José Carlos Aradillas; Juan José Murillo-Fuentes; Pablo M. Olmos (IEEE Access, 2021)

Sparse semi-supervised heterogeneous interbattery bayesian analysis. - Carlos Sevilla-Salcedo; Vanessa Gómez-Verdejo; Pablo M. Olmos (Pattern Recognit., 2021)

Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling. - David G. M. Mitchell; Pablo M. Olmos; Michael Lentmaier; Daniel J. Costello Jr. (IEEE Trans. Inf. Theory, 2021)

Safe importance sampling based on partial posteriors and neural variational approximations. - Fernando Llorente 001; Ernesto Curbelo; Luca Martino; Pablo M. Olmos; David Delgado 001 (EUSIPCO, 2022)

Multi-task longitudinal forecasting with missing values on Alzheimer's disease. - Carlos Sevilla-Salcedo; Vandad Imani; Pablo M. Olmos; Vanessa Gómez-Verdejo; Jussi Tohka (Comput. Methods Programs Biomed., 2022)

PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. - Fernando Moreno-Pino; Emese Sükei; Pablo M. Olmos; Antonio Artés-Rodríguez (CoRR, 2022)

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. - Alejandro Guerrero-López; Carlos Sevilla-Salcedo; Vanessa Gómez-Verdejo; Pablo M. Olmos (CoRR, 2022)

Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data. - Fernando Moreno-Pino; María Martínez-García; Pablo M. Olmos; Antonio Artés-Rodríguez (CoRR, 2022)

Bayesian sparse factor analysis with kernelized observations. - Carlos Sevilla-Salcedo; Alejandro Guerrero-López; Pablo M. Olmos; Vanessa Gómez-Verdejo (Neurocomputing, 2022)

Medical Data Wrangling With Sequential Variational Autoencoders. - Daniel Barrejón; Pablo M. Olmos; Antonio Artés-Rodríguez (IEEE J. Biomed. Health Informatics, 2022)

Variational Mixture of HyperGenerators for Learning Distributions over Functions. - Batuhan Koyuncu; Pablo Sánchez-Martín; Ignacio Peis; Pablo M. Olmos; Isabel Valera (ICML, 2023)

Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data. - María Martínez-García; Fernando Moreno-Pino; Pablo M. Olmos; Antonio Artés-Rodríguez (CoRR, 2023)

Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering. - Óscar Jiménez Rama; Fernando Moreno-Pino; David Ramírez; Pablo M. Olmos (CoRR, 2023)

Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra. - 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 (Eng. Appl. Artif. Intell., 2023)

Deep autoregressive models with spectral attention. - Fernando Moreno-Pino; Pablo M. Olmos; Antonio Artés-Rodríguez (Pattern Recognit., 2023)

Unsupervised learning of global factors in deep generative models. - Ignacio Peis; Pablo M. Olmos; Antonio Artés-Rodríguez (Pattern Recognit., 2023)

Regularizing transformers with deep probabilistic layers. - Aurora Cobo Aguilera; Pablo M. Olmos; Antonio Artés-Rodríguez; Fernando Pérez-Cruz (Neural Networks, 2023)

Enhancing diversity in GANs via non-uniform sampling. - Pablo Sánchez-Martín; Pablo M. Olmos; Fernando Pérez-Cruz (Inf. Sci., 2023)

Handling Ill-Conditioned Omics Data With Deep Probabilistic Models. - María Martínez-García; Pablo M. Olmos (IEEE J. Biomed. Health Informatics, 2023)

Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks. - Antía López Galdo; Alejandro Guerrero-López; Pablo M. Olmos; María Jesús Gómez García (Eng. Appl. Artif. Intell., 2023)

Training Implicit Generative Models via an Invariant Statistical Loss. - José Manuel de Frutos; Pablo M. Olmos; Manuel Alberto Vazquez Lopez; Joaquín Míguez (AISTATS, 2024)

Efficient local linearity regularization to overcome catastrophic overfitting. - Elías Abad-Rocamora; Fanghui Liu 001; Grigorios Chrysos 002; Pablo M. Olmos; Volkan Cevher (ICLR, 2024)

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks. - Mikkel Jordahn; Pablo M. Olmos (ICML, 2024)

Diffusion X-ray image denoising. - Daniel Sanderson; Pablo M. Olmos; Carlos Fernandez del Cerro; Manuel Desco; Mónica Abella (MIDL, 2024)

Calibration Methods for Alzheimer Disease Detection. - Lorena Gallego-Viñarás; Anna Michela-Gaeta; Gerard Pinol-Ripoll; Ferrán Barbé; Pablo M. Olmos; Arrate Muñoz-Barrutia (MLSP, 2024)

Training Implicit Generative Models via an Invariant Statistical Loss. - José Manuel de Frutos; Pablo M. Olmos; Manuel A. Vázquez; Joaquín Míguez (CoRR, 2024)

Alzheimer's disease detection in PSG signals. - Lorena Gallego-Viñarás; Juan Miguel Mira-Tomas; Anna Michela-Gaeta; Gerard Pinol-Ripoll; Ferrán Barbé; Pablo M. Olmos; Arrate Muñoz-Barrutia (CoRR, 2024)

Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models. - María Martínez-García; Grace Villacrés; David G. M. Mitchell; Pablo M. Olmos (CoRR, 2024)

Scalable Random Feature Latent Variable Models. - Ying Li; Zhidi Lin; Yuhao Liu 002; Michael Minyi Zhang; Pablo M. Olmos; Petar M. Djuric (CoRR, 2024)

Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss. - José Manuel de Frutos; Manuel A. Vázquez; Pablo M. Olmos; Joaquín Míguez (CoRR, 2024)

Improved Variational Inference in Discrete VAEs using Error Correcting Codes. - María Martínez-García; Grace Villacrés; David G. M. Mitchell; Pablo M. Olmos (UAI, 2025)

Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0. - Darío C. Larese; Almudena Bravo Cerrada; Gabriel Dambrosio Tomei; Alejandro Guerrero-López; Pablo M. Olmos; María Jesús Gómez García (CoRR, 2025)

Multi-View Oriented GPLVM: Expressiveness and Efficiency. - Zi Yang; Ying Li; Zhidi Lin; Michael Minyi Zhang; Pablo M. Olmos (CoRR, 2025)

Alzheimer's Disease Detection in EEG Sleep Signals. - Lorena Gallego-Viñarás; Juan Miguel Mira-Tomas; Anna Michela-Gaeta; Gerard Pinol-Ripoll; Ferrán Barbé; Pablo M. Olmos; Arrate Muñoz-Barrutia (IEEE J. Biomed. Health Informatics, 2025)

A Foundation Model for Patient Behavior Monitoring and Suicide Detection. - Rodrigo Oliver; Josué Pérez-Sabater; Leire Paz-Arbaizar; Alejandro Lancho; Antonio Artés; Pablo M. Olmos (CoRR, 2025)

Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence. - José Manuel de Frutos; Manuel A. Vázquez; Pablo M. Olmos; Joaquín Míguez (CoRR, 2025)

Forensic Study of Paintings Through the Comparison of Fabrics. - Juan José Murillo-Fuentes; Pablo M. Olmos; Laura Alba-Carcelén (CoRR, 2025)

Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS. - Mario Blázquez-Sánchez; Alejandro Guerrero-López; Ana Candela; Albert Belenguer-Llorens; José Miguel Moreno; Carlos Sevilla-Salcedo; María Sánchez-Cueto; Manuel J. Arroyo; Mark Gutiérrez-Pareja; Vanessa Gómez-Verdejo; Pablo M. Olmos; Luis Mancera; et al. (BMC Bioinform., 2025)