Pablo M. Olmos

123 papers A* 3A 2B 20Journal 89Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Foundation Model for Patient Behavior Monitoring and Suicide Detection. CoRR Rodrigo Oliver, Josué Pérez-Sabater, Leire Paz-Arbaizar, Alejandro Lancho, Antonio Artés, Pablo M. Olmos
2025	J	`jnl`	Alzheimer's Disease Detection in EEG Sleep Signals. IEEE J. Biomed. Health Informatics Lorena Gallego-Viñarás, Juan Miguel Mira-Tomas, Anna Michela-Gaeta, Gerard Pinol-Ripoll, Ferrán Barbé, Pablo M. Olmos, Arrate Muñoz-Barrutia
2025	J	`jnl`	Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS. BMC Bioinform. 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, Patricia Muñoz, Mercedes Marín, Luis Alcalá, David Rodríguez-Temporal, Belén Rodríguez-Sánchez
2025	J	`jnl`	Combined model-based and data-driven approach for the control of a soft robotic neck. Robotics Auton. Syst. Nicole A. Continelli, Luis Nagua, Pablo M. Olmos, Concepción A. Monje
2025	J	`jnl`	Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence. CoRR José Manuel de Frutos, Manuel A. Vázquez, Pablo M. Olmos, Joaquín Míguez
2025	J	`jnl`	Forensic Study of Paintings Through the Comparison of Fabrics. CoRR Juan José Murillo-Fuentes, Pablo M. Olmos, Laura Alba-Carcelén
2025	A	`conf`	Improved Variational Inference in Discrete VAEs using Error Correcting Codes. UAI María Martínez-García, Grace Villacrés, David G. M. Mitchell, Pablo M. Olmos
2025	J	`jnl`	Multi-View Oriented GPLVM: Expressiveness and Efficiency. CoRR Zi Yang, Ying Li, Zhidi Lin, Michael Minyi Zhang, Pablo M. Olmos
2025	J	`jnl`	Scalable Random Feature Latent Variable Models. IEEE Trans. Pattern Anal. Mach. Intell. Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric
2025	J	`jnl`	Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0. CoRR Darío C. Larese, Almudena Bravo Cerrada, Gabriel Dambrosio Tomei, Alejandro Guerrero-López, Pablo M. Olmos, María Jesús Gómez García
2024	J	`jnl`	Alzheimer's disease detection in PSG signals. CoRR Lorena Gallego-Viñarás, Juan Miguel Mira-Tomas, Anna Michela-Gaeta, Gerard Pinol-Ripoll, Ferrán Barbé, Pablo M. Olmos, Arrate Muñoz-Barrutia
2024	—	`conf`	Calibration Methods for Alzheimer Disease Detection. MLSP Lorena Gallego-Viñarás, Anna Michela-Gaeta, Gerard Pinol-Ripoll, Ferrán Barbé, Pablo M. Olmos, Arrate Muñoz-Barrutia
2024	A*	`conf`	Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks. ICML Mikkel Jordahn, Pablo M. Olmos
2024	J	`jnl`	Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks. CoRR Mikkel Jordahn, Pablo M. Olmos
2024	—	`conf`	Diffusion X-ray image denoising. MIDL Daniel Sanderson, Pablo M. Olmos, Carlos Fernandez del Cerro, Manuel Desco, Mónica Abella
2024	A*	`conf`	Efficient local linearity regularization to overcome catastrophic overfitting. ICLR Elías Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher
2024	J	`jnl`	Efficient local linearity regularization to overcome catastrophic overfitting. CoRR Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher
2024	J	`jnl`	Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models. CoRR María Martínez-García, Grace Villacrés, David G. M. Mitchell, Pablo M. Olmos
2024	J	`jnl`	Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss. CoRR José Manuel de Frutos, Manuel A. Vázquez, Pablo M. Olmos, Joaquín Míguez
2024	J	`jnl`	Scalable Random Feature Latent Variable Models. CoRR Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric
2024	A	`conf`	Training Implicit Generative Models via an Invariant Statistical Loss. AISTATS José Manuel de Frutos, Pablo M. Olmos, Manuel Alberto Vazquez Lopez, Joaquín Míguez
2024	J	`jnl`	Training Implicit Generative Models via an Invariant Statistical Loss. CoRR José Manuel de Frutos, Pablo M. Olmos, Manuel A. Vázquez, Joaquín Míguez
2023	J	`jnl`	Automatic antibiotic resistance prediction in Eng. Appl. Artif. Intell. 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
2023	J	`jnl`	Deep autoregressive models with spectral attention. Pattern Recognit. Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
2023	J	`jnl`	Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks. Eng. Appl. Artif. Intell. Antía López Galdo, Alejandro Guerrero-López, Pablo M. Olmos, María Jesús Gómez García
2023	J	`jnl`	Enhancing diversity in GANs via non-uniform sampling. Inf. Sci. Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
2023	J	`jnl`	Handling Ill-Conditioned Omics Data With Deep Probabilistic Models. IEEE J. Biomed. Health Informatics María Martínez-García, Pablo M. Olmos
2023	J	`jnl`	Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering. CoRR Óscar Jiménez Rama, Fernando Moreno-Pino, David Ramírez, Pablo M. Olmos
2023	J	`jnl`	Regularizing transformers with deep probabilistic layers. Neural Networks Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz
2023	J	`jnl`	Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data. CoRR María Martínez-García, Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
2023	J	`jnl`	Unsupervised learning of global factors in deep generative models. Pattern Recognit. Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
2023	J	`jnl`	Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
2023	A*	`conf`	Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
2022	J	`jnl`	Bayesian sparse factor analysis with kernelized observations. Neurocomputing Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo
2022	J	`jnl`	Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks. CoRR Antía López Galdo, Alejandro Guerrero-López, Pablo M. Olmos, María Jesús Gómez García
2022	J	`jnl`	Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data. CoRR Fernando Moreno-Pino, María Martínez-García, Pablo M. Olmos, Antonio Artés-Rodríguez
2022	J	`jnl`	Medical Data Wrangling With Sequential Variational Autoencoders. IEEE J. Biomed. Health Informatics Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez
2022	J	`jnl`	Multi-task longitudinal forecasting with missing values on Alzheimer's Disease. CoRR Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
2022	J	`jnl`	Multi-task longitudinal forecasting with missing values on Alzheimer's disease. Comput. Methods Programs Biomed. Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos, Vanessa Gómez-Verdejo, Jussi Tohka
2022	J	`jnl`	Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. CoRR Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
2022	J	`jnl`	PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. CoRR Fernando Moreno-Pino, Emese Sükei, Pablo M. Olmos, Antonio Artés-Rodríguez
2022	—	`conf`	Safe importance sampling based on partial posteriors and neural variational approximations. EUSIPCO Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado
2021	J	`jnl`	Boosting Offline Handwritten Text Recognition in Historical Documents With Few Labeled Lines. IEEE Access José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
2021	J	`jnl`	Deep Autoregressive Models with Spectral Attention. CoRR Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
2021	J	`jnl`	Medical data wrangling with sequential variational autoencoders. CoRR Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez
2021	J	`jnl`	Sparse semi-supervised heterogeneous interbattery bayesian analysis. Pattern Recognit. Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
2021	J	`jnl`	Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling. IEEE Trans. Inf. Theory David G. M. Mitchell, Pablo M. Olmos, Michael Lentmaier, Daniel J. Costello Jr.
2020	J	`jnl`	Bayesian Sparse Factor Analysis with Kernelized Observations. CoRR Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo
2020	J	`jnl`	Boosting offline handwritten text recognition in historical documents with few labeled lines. CoRR José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
2020	J	`jnl`	Handling incomplete heterogeneous data using VAEs. Pattern Recognit. Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
2020	—	`conf`	Hidden Markov Models for Activity Detection in Atrial Fibrillation Electrograms. CinC Gonzalo R. Ríos-Muñoz, Fernando Moreno-Pino, Nina Soto, Pablo M. Olmos, Antonio Artés-Rodríguez, Francisco Fernandez-Aviles, Angel Arenal
2020	B	`conf`	Improving offline HTR in small datasets by purging unreliable labels. ICFHR José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
2020	B	`conf`	On the Design of Generalized LDPC Codes with Component BCJR Decoding. GLOBECOM Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
2020	J	`jnl`	Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis. CoRR Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
2020	J	`jnl`	Unsupervised Learning of Global Factors in Deep Generative Models. CoRR Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez
2019	J	`jnl`	A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC. IEEE Trans. Inf. Theory Yanfang Liu, Pablo M. Olmos, Tobias Koch
2019	J	`jnl`	Deep Sequential Models for Suicidal Ideation From Multiple Source Data. IEEE J. Biomed. Health Informatics Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez
2019	J	`jnl`	Deep Sequential Models for Suicidal Ideation from Multiple Source Data. CoRR Ignacio Peis, Pablo M. Olmos, Constanza Vera-Varela, María Luisa Barrigón, Philippe Courtet, Enrique Baca-García, Antonio Artés-Rodríguez
2019	J	`jnl`	Improved BiGAN training with marginal likelihood equalization. CoRR Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
2019	J	`jnl`	On Generalized LDPC Codes for 5G Ultra Reliable Communication. CoRR Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
2019	J	`jnl`	Out-of-Sample Testing for GANs. CoRR Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz
2019	J	`jnl`	Portable Multispectral System Based on Color Detector for the Analysis of Homogeneous Surfaces. J. Sensors Antonio Martínez-Olmos, Pablo M. Olmos, Miguel M. Erenas, Pablo Escobedo
2019	J	`jnl`	Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference. CoRR Javier Céspedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
2019	J	`jnl`	Probabilistic Time of Arrival Localization. CoRR Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
2019	J	`jnl`	Probabilistic Time of Arrival Localization. IEEE Signal Process. Lett. Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
2019	J	`jnl`	Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling. CoRR David G. M. Mitchell, Pablo M. Olmos, Michael Lentmaier, Daniel J. Costello Jr.
2018	B	`conf`	Boosting Handwriting Text Recognition in Small Databases with Transfer Learning. ICFHR José Carlos Aradillas Jaramillo, Juan José Murillo-Fuentes, Pablo M. Olmos
2018	J	`jnl`	Boosting Handwriting Text Recognition in Small Databases with Transfer Learning. CoRR José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
2018	J	`jnl`	Generalized LDPC Codes for Ultra Reliable Low Latency Communication in 5G and Beyond. IEEE Access Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
2018	J	`jnl`	Handling Incomplete Heterogeneous Data using VAEs. CoRR Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
2018	B	`conf`	On Generalized LDPC Codes for 5G Ultra Reliable Communication. ITW Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell
2018	J	`jnl`	Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference. IEEE Trans. Veh. Technol. Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
2018	—	`conf`	Spatially Coupled Generalized LDPC Codes: Introduction and Overview. ISTC Daniel J. Costello Jr., David G. M. Mitchell, Pablo M. Olmos, Michael Lentmaier
2018	J	`jnl`	Turbo EP-Based Equalization: A Filter-Type Implementation. IEEE Trans. Commun. Irene Santos Velázquez, Juan José Murillo-Fuentes, Eva Arias-de-Reyna, Pablo M. Olmos
2017	J	`jnl`	A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC. CoRR Yanfang Liu, Pablo M. Olmos, Tobias Koch
2017	J	`jnl`	Continuous Transmission of Spatially Coupled LDPC Code Chains. IEEE Trans. Commun. Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
2017	J	`jnl`	Expectation Propagation as Turbo Equalizer in ISI Channels. IEEE Trans. Commun. Irene Santos Velázquez, Juan José Murillo-Fuentes, Rafael Boloix-Tortosa, Eva Arias-de-Reyna, Pablo M. Olmos
2017	B	`conf`	On LDPC code ensembles with generalized constraints. ISIT Yanfang Liu, Pablo M. Olmos, Tobias Koch
2017	J	`jnl`	Probabilistic Equalization With a Smoothing Expectation Propagation Approach. IEEE Trans. Wirel. Commun. Irene Santos Velázquez, Juan José Murillo-Fuentes, Eva Arias-de-Reyna, Pablo M. Olmos
2016	J	`jnl`	Continuous Transmission of Spatially-Coupled LDPC Code Chains. CoRR Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
2016	J	`jnl`	Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit. Entropy Melanie F. Pradier, Pablo M. Olmos, Fernando Pérez-Cruz
2016	B	`conf`	Finite-length scaling based on Belief Propagation for spatially coupled LDPC codes. ISIT Markus Stinner, Luca Barletta, Pablo M. Olmos
2016	J	`jnl`	Finite-length scaling based on belief propagation for spatially coupled LDPC codes. CoRR Markus Stinner, Luca Barletta, Pablo M. Olmos
2016	J	`jnl`	Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. Neural Comput. Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz
2016	J	`jnl`	On the Waterfall Performance of Finite-Length SC-LDPC Codes Constructed From Protographs. IEEE J. Sel. Areas Commun. Markus Stinner, Pablo M. Olmos
2015	J	`jnl`	A Scaling Law to Predict the Finite-Length Performance of Spatially-Coupled LDPC Codes. IEEE Trans. Inf. Theory Pablo M. Olmos, Rüdiger L. Urbanke
2015	B	`conf`	Analyzing the finite-length performance of generalized LDPC codes. ISIT Pablo M. Olmos, David G. M. Mitchell, Daniel J. Costello Jr.
2015	J	`jnl`	Approaching the DT Bound Using Linear Codes in the Short Blocklength Regime. IEEE Commun. Lett. Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz, Sergio Verdú
2015	—	`conf`	Block expectation propagation equalization for ISI channels. EUSIPCO Irene Santos Velázquez, Juan José Murillo-Fuentes, Pablo M. Olmos
2015	B	`conf`	Finite-length performance of multi-edge protograph-based spatially coupled LDPC codes. ISIT Markus Stinner, Pablo M. Olmos
2015	B	`conf`	On Distributed Storage Allocations for Memory-Limited Systems. GLOBECOM Iryna Andriyanova, Pablo M. Olmos
2015	J	`jnl`	On Distributed Storage Allocations for Memory-Limited Systems. CoRR Iryna Andriyanova, Pablo M. Olmos
2015	J	`jnl`	Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. CoRR Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
2015	J	`jnl`	Scalable multi-output label prediction: From classifier chains to classifier trellises. Pattern Recognit. Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
2014	J	`jnl`	A Scaling Law to Predict the Finite-Length Performance of Spatially-Coupled LDPC Codes. CoRR Pablo M. Olmos, Rüdiger L. Urbanke
2014	J	`jnl`	Analyzing Finite-length Protograph-based Spatially Coupled LDPC Codes. CoRR Markus Stinner, Pablo M. Olmos
2014	B	`conf`	Analyzing finite-length protograph-based spatially coupled LDPC codes. ISIT Markus Stinner, Pablo M. Olmos
2014	J	`jnl`	Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems. IEEE Trans. Commun. Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
2014	B	`conf`	Improved performance of LDPC-coded MIMO systems with EP-based soft-decisions. ISIT Javier Cespedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz
2014	J	`jnl`	Improving the Finite-Length Performance of Spatially Coupled LDPC Codes by Connecting Multiple Code Chains. CoRR Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
2014	—	`conf`	Improving the finite-length performance of long SC-LDPC code chains by connecting consecutive chains. ISTC Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
2013	B	`conf`	A closed-form scaling law for convolutional LDPC codes over the BEC. ITW Pablo M. Olmos, Rüdiger L. Urbanke
2013	B	`conf`	A finite length performance analysis of LDPC codes constructed by connecting spatially coupled chains. ITW Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.
2013	B	`conf`	Improving the BP estimate over the AWGN channel using Tree-structured expectation propagation. ISIT Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz
2013	J	`jnl`	Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC. IEEE Trans. Commun. Luis Salamanca, Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2013	J	`jnl`	Tree-Structure Expectation Propagation for LDPC Decoding Over the BEC. IEEE Trans. Inf. Theory Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2013	J	`jnl`	Tree-Structured Expectation Propagation for LDPC Decoding over BMS Channels. IEEE Trans. Commun. Luis Salamanca, Pablo M. Olmos, Fernando Pérez-Cruz, Juan José Murillo-Fuentes
2012	B	`conf`	Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC. ISIT Pablo M. Olmos, Fernando Pérez-Cruz, Luis Salamanca, Juan José Murillo-Fuentes
2012	B	`conf`	Finite-length performance of spatially-coupled LDPC codes under TEP decoding. ITW Pablo M. Olmos, Fernando Pérez-Cruz, Luis Salamanca, Juan José Murillo-Fuentes
2012	J	`jnl`	On the Design of LDPC-Convolutional Ensembles Using the TEP Decoder. IEEE Commun. Lett. Pablo M. Olmos, Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2012	J	`jnl`	Remote Detection of a Frequency Jammer Operating in the Down Link of a Cellular System. Wirel. Pers. Commun. Pablo M. Olmos, Juan José Murillo-Fuentes, Guillermo Esteve
2012	J	`jnl`	Remote detection of interfered downlinks in wireless cellular systems. Trans. Emerg. Telecommun. Technol. José Carlos Reyes-Guerrero, Juan José Murillo-Fuentes, Pablo M. Olmos
2012	J	`jnl`	Tree-Structure Expectation Propagation for LDPC Decoding over the BEC CoRR Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2012	—	`conf`	Tree-structured expectation propagation for LDPC decoding over the AWGN channel. MLSP Luis Salamanca, Juan José Murillo-Fuentes, Pablo M. Olmos, Fernando Pérez-Cruz
2011	—	`conf`	An Application of Tree-Structured Expectation Propagation for Channel Decoding. NIPS Pablo M. Olmos, Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2011	B	`conf`	Capacity achieving LDPC ensembles for the TEP decoder in erasure channels. ISIT Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2011	B	`conf`	MAP decoding for LDPC codes over the binary erasure channel. ITW Luis Salamanca, Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2011	J	`jnl`	Scaling Behavior of Convolutional LDPC Ensembles over the BEC CoRR Pablo M. Olmos, Rüdiger L. Urbanke
2011	B	`conf`	Scaling behavior of convolutional LDPC ensembles over the BEC. ISIT Pablo M. Olmos, Rüdiger L. Urbanke
2011	J	`jnl`	Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes. IEEE Commun. Lett. Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2010	J	`jnl`	Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes. IEEE Trans. Signal Process. Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz
2010	J	`jnl`	Tree-structure Expectation Propagation for Decoding LDPC codes over Binary Erasure Channels CoRR Pablo M. Olmos, Juan José Murillo-Fuentes
2010	B	`conf`	Tree-structure expectation propagation for decoding LDPC codes over binary erasure channels. ISIT Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz