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Pablo Martinez-Olmos
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2020 – today
- 2024
[c34]José Manuel de Frutos, Pablo M. Olmos, Manuel Alberto Vazquez Lopez, Joaquín Míguez:
Training Implicit Generative Models via an Invariant Statistical Loss. AISTATS 2024: 2026-2034- [c33]Elías Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher:
Efficient local linearity regularization to overcome catastrophic overfitting. ICLR 2024 - [c32]Mikkel Jordahn, Pablo M. Olmos:
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks. ICML 2024 - [c31]Lorena Gallego-Viñarás, Anna Michela-Gaeta, Gerard Pinol-Ripoll, Ferrán Barbé, Pablo M. Olmos, Arrate Muñoz-Barrutia:
Calibration Methods for Alzheimer Disease Detection. MLSP 2024: 1-6 - [i43]Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher:
Efficient local linearity regularization to overcome catastrophic overfitting. CoRR abs/2401.11618 (2024) - [i42]José Manuel de Frutos, Pablo M. Olmos, Manuel A. Vázquez, Joaquín Míguez:
Training Implicit Generative Models via an Invariant Statistical Loss. CoRR abs/2402.16435 (2024) - [i41]Lorena Gallego-Viñarás, Juan Miguel Mira-Tomas, Anna Michela-Gaeta, Gerard Pinol-Ripoll, Ferrán Barbé, Pablo M. Olmos, Arrate Muñoz-Barrutia:
Alzheimer's disease detection in PSG signals. CoRR abs/2404.03549 (2024) - [i40]Mikkel Jordahn, Pablo M. Olmos:
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks. CoRR abs/2405.01196 (2024) - [i39]María Martínez-García, Grace Villacrés, David G. M. Mitchell, Pablo M. Olmos:
Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models. CoRR abs/2410.07840 (2024) - [i38]Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric:
Scalable Random Feature Latent Variable Models. CoRR abs/2410.17700 (2024) - [i37]José Manuel de Frutos, Manuel A. Vázquez, Pablo M. Olmos, Joaquín Míguez:
Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss. CoRR abs/2410.22381 (2024) - 2023
- [j39]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:
Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra. Eng. Appl. Artif. Intell. 118: 105644 (2023) - [j38]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: 106840 (2023) - [j37]Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz:
Enhancing diversity in GANs via non-uniform sampling. Inf. Sci. 637: 118928 (2023) - [j36]Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz:
Regularizing transformers with deep probabilistic layers. Neural Networks 161: 565-574 (2023) - [j35]Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Deep autoregressive models with spectral attention. Pattern Recognit. 133: 109014 (2023) - [j34]Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez:
Unsupervised learning of global factors in deep generative models. Pattern Recognit. 134: 109130 (2023) - [j33]María Martínez-García, Pablo M. Olmos:
Handling Ill-Conditioned Omics Data With Deep Probabilistic Models. IEEE J. Biomed. Health Informatics 27(9): 4601-4610 (2023) - [c30]Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera:
Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML 2023: 17660-17683 - [i36]María Martínez-García, Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data. CoRR abs/2301.10156 (2023) - [i35]Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera:
Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR abs/2302.06223 (2023) - [i34]Óscar Jiménez Rama, Fernando Moreno-Pino, David Ramírez, Pablo M. Olmos:
Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering. CoRR abs/2310.11940 (2023) - 2022
- [j32]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: 107056 (2022) - [j31]Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo:
Bayesian sparse factor analysis with kernelized observations. Neurocomputing 490: 66-78 (2022) - [j30]Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez:
Medical Data Wrangling With Sequential Variational Autoencoders. IEEE J. Biomed. Health Informatics 26(6): 2737-2745 (2022) - [c29]Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado:
Safe importance sampling based on partial posteriors and neural variational approximations. EUSIPCO 2022: 2021-2025 - [i33]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 abs/2201.05040 (2022) - [i32]Fernando Moreno-Pino, Emese Sükei, Pablo M. Olmos, Antonio Artés-Rodríguez:
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models. CoRR abs/2201.06968 (2022) - [i31]Alejandro Guerrero-López, Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space. CoRR abs/2207.09185 (2022) - [i30]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 abs/2211.09011 (2022) - [i29]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 abs/2211.10371 (2022) - 2021
- [j29]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: 76674-76688 (2021) - [j28]Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Sparse semi-supervised heterogeneous interbattery bayesian analysis. Pattern Recognit. 120: 108141 (2021) - [j27]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): 3708-3723 (2021) - [i28]Daniel Barrejón, Pablo M. Olmos, Antonio Artés-Rodríguez:
Medical data wrangling with sequential variational autoencoders. CoRR abs/2103.07206 (2021) - [i27]Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez:
Deep Autoregressive Models with Spectral Attention. CoRR abs/2107.05984 (2021) - [i26]Aurora Cobo Aguilera, Pablo Martinez-Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz:
Regularizing Transformers With Deep Probabilistic Layers. CoRR abs/2108.10764 (2021) - 2020
- [j26]Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera:
Handling incomplete heterogeneous data using VAEs. Pattern Recognit. 107: 107501 (2020) - [c28]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: 1-4 - [c27]Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell:
On the Design of Generalized LDPC Codes with Component BCJR Decoding. GLOBECOM 2020: 1-6 - [c26]José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos:
Improving offline HTR in small datasets by purging unreliable labels. ICFHR 2020: 25-30 - [i25]Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos:
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis. CoRR abs/2001.08975 (2020) - [i24]Carlos Sevilla-Salcedo, Alejandro Guerrero-López, Pablo M. Olmos, Vanessa Gómez-Verdejo:
Bayesian Sparse Factor Analysis with Kernelized Observations. CoRR abs/2006.00968 (2020) - [i23]Aurora Cobo Aguilera, Antonio Artés-Rodríguez, Fernando Pérez-Cruz, Pablo Martinez-Olmos:
Robust Sampling in Deep Learning. CoRR abs/2006.02734 (2020) - [i22]José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos:
Boosting offline handwritten text recognition in historical documents with few labeled lines. CoRR abs/2012.02544 (2020) - [i21]Ignacio Peis, Pablo M. Olmos, Antonio Artés-Rodríguez:
Unsupervised Learning of Global Factors in Deep Generative Models. CoRR abs/2012.08234 (2020)
2010 – 2019
- 2019
- [j25]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: 1519753:1-1519753:8 (2019) - [j24]Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang:
Probabilistic Time of Arrival Localization. IEEE Signal Process. Lett. 26(11): 1683-1687 (2019) - [j23]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): 4831-4853 (2019) - [j22]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): 2286-2293 (2019) - [i20]Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz:
Out-of-Sample Testing for GANs. CoRR abs/1901.09557 (2019) - [i19]Javier Céspedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz:
Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference. CoRR abs/1910.00853 (2019) - [i18]Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang:
Probabilistic Time of Arrival Localization. CoRR abs/1910.06569 (2019) - [i17]Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell:
On Generalized LDPC Codes for 5G Ultra Reliable Communication. CoRR abs/1910.06574 (2019) - [i16]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 abs/1910.14110 (2019) - [i15]Pablo Sánchez-Martín, Pablo M. Olmos, Fernando Pérez-Cruz:
Improved BiGAN training with marginal likelihood equalization. CoRR abs/1911.01425 (2019) - [i14]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 abs/1911.03522 (2019) - 2018
- [j21]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: 72002-72014 (2018) - [j20]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): 4259-4270 (2018) - [j19]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): 3481-3494 (2018) - [c25]José Carlos Aradillas Jaramillo, Juan José Murillo-Fuentes, Pablo M. Olmos:
Boosting Handwriting Text Recognition in Small Databases with Transfer Learning. ICFHR 2018: 429-434 - [c24]Daniel J. Costello Jr., David G. M. Mitchell, Pablo M. Olmos, Michael Lentmaier:
Spatially Coupled Generalized LDPC Codes: Introduction and Overview. ISTC 2018: 1-6 - [c23]Yanfang Liu, Pablo M. Olmos, David G. M. Mitchell:
On Generalized LDPC Codes for 5G Ultra Reliable Communication. ITW 2018: 1-5 - [i13]José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos:
Boosting Handwriting Text Recognition in Small Databases with Transfer Learning. CoRR abs/1804.01527 (2018) - [i12]Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera:
Handling Incomplete Heterogeneous Data using VAEs. CoRR abs/1807.03653 (2018) - 2017
- [j18]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): 360-370 (2017) - [j17]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): 5097-5109 (2017) - [j16]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): 2950-2962 (2017) - [c22]Yanfang Liu, Pablo M. Olmos, Tobias Koch:
On LDPC code ensembles with generalized constraints. ISIT 2017: 371-375 - [i11]Yanfang Liu, Pablo M. Olmos, Tobias Koch:
A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC. CoRR abs/1709.00873 (2017) - 2016
- [j15]Melanie F. Pradier, Pablo M. Olmos, Fernando Pérez-Cruz:
Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit. Entropy 18(12): 449 (2016) - [j14]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): 345-361 (2016) - [j13]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): 354-381 (2016) - [c21]Markus Stinner, Luca Barletta, Pablo M. Olmos:
Finite-length scaling based on Belief Propagation for spatially coupled LDPC codes. ISIT 2016: 2109-2113 - [i10]Markus Stinner, Luca Barletta, Pablo M. Olmos:
Finite-length scaling based on belief propagation for spatially coupled LDPC codes. CoRR abs/1604.05111 (2016) - [i9]Pablo M. Olmos, David G. M. Mitchell, Dmitri V. Truhachev, Daniel J. Costello Jr.:
Continuous Transmission of Spatially-Coupled LDPC Code Chains. CoRR abs/1606.02087 (2016) - 2015
- [j12]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): 123-126 (2015) - [j11]Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo:
Scalable multi-output label prediction: From classifier chains to classifier trellises. Pattern Recognit. 48(6): 2096-2109 (2015) - [j10]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): 3164-3184 (2015) - [c20]Irene Santos Velázquez, Juan José Murillo-Fuentes, Pablo M. Olmos:
Block expectation propagation equalization for ISI channels. EUSIPCO 2015: 379-383 - [c19]Iryna Andriyanova, Pablo M. Olmos:
On Distributed Storage Allocations for Memory-Limited Systems. GLOBECOM 2015: 1-6 - [c18]Markus Stinner, Pablo M. Olmos:
Finite-length performance of multi-edge protograph-based spatially coupled LDPC codes. ISIT 2015: 889-893 - [c17]Pablo M. Olmos, David G. M. Mitchell, Daniel J. Costello Jr.:
Analyzing the finite-length performance of generalized LDPC codes. ISIT 2015: 2683-2687 - [i8]Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo:
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. CoRR abs/1501.04870 (2015) - [i7]Iryna Andriyanova, Pablo M. Olmos:
On Distributed Storage Allocations for Memory-Limited Systems. CoRR abs/1504.04137 (2015) - 2014
- [j9]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): 2840-2849 (2014) - [c16]Markus Stinner, Pablo M. Olmos:
Analyzing finite-length protograph-based spatially coupled LDPC codes. ISIT 2014: 891-895 - [c15]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: 1997-2001 - [c14]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: 72-76 - [i6]Markus Stinner, Pablo M. Olmos:
Analyzing Finite-length Protograph-based Spatially Coupled LDPC Codes. CoRR abs/1401.8090 (2014) - [i5]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 abs/1402.7170 (2014) - [i4]Pablo M. Olmos, Rüdiger L. Urbanke:
A Scaling Law to Predict the Finite-Length Performance of Spatially-Coupled LDPC Codes. CoRR abs/1404.5719 (2014) - 2013
- [j8]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): 465-473 (2013) - [j7]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): 4086-4095 (2013) - [j6]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): 3354-3377 (2013) - [c13]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: 2990-2994 - [c12]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: 1-5 - [c11]Pablo M. Olmos, Rüdiger L. Urbanke:
A closed-form scaling law for convolutional LDPC codes over the BEC. ITW 2013: 1-5 - 2012
- [j5]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): 444-453 (2012) - [j4]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): 726-729 (2012) - [j3]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): 861-870 (2012) - [c10]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: 2346-2350 - [c9]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: 492-496 - [c8]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: 1-6 - [i3]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Tree-Structure Expectation Propagation for LDPC Decoding over the BEC. CoRR abs/1201.0715 (2012) - 2011
- [j2]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes. IEEE Commun. Lett. 15(2): 235-237 (2011) - [c7]Pablo M. Olmos, Rüdiger L. Urbanke:
Scaling behavior of convolutional LDPC ensembles over the BEC. ISIT 2011: 1816-1820 - [c6]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Capacity achieving LDPC ensembles for the TEP decoder in erasure channels. ISIT 2011: 2398-2402 - [c5]Luis Salamanca, Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
MAP decoding for LDPC codes over the binary erasure channel. ITW 2011: 145-149 - [c4]Pablo M. Olmos, Luis Salamanca, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
An Application of Tree-Structured Expectation Propagation for Channel Decoding. NIPS 2011: 1854-1862 - [i2]Pablo M. Olmos, Rüdiger L. Urbanke:
Scaling Behavior of Convolutional LDPC Ensembles over the BEC. CoRR abs/1107.2229 (2011) - 2010
- [j1]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes. IEEE Trans. Signal Process. 58(3): 1183-1192 (2010) - [c3]Pablo M. Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Tree-structure expectation propagation for decoding LDPC codes over binary erasure channels. ISIT 2010: 799-803 - [i1]Pablo M. Olmos, Juan José Murillo-Fuentes:
Tree-structure Expectation Propagation for Decoding LDPC codes over Binary Erasure Channels. CoRR abs/1006.1535 (2010)
2000 – 2009
- 2009
- [c2]Pablo Martinez-Olmos, Juan José Murillo-Fuentes, Fernando Pérez-Cruz:
Soft LDPC decoding in nonlinear channels with Gaussian processes for classification. EUSIPCO 2009: 1641-1645 - [c1]Pablo Martinez-Olmos, Juan José Murillo-Fuentes, Guillermo Esteve:
Analyzing signal strength versus quality levels in cellular systems: A case study in GSM. PIMRC 2009: 3114-3118
Coauthor Index
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