Pablo M. Olmos

Orcid: 0000-0003-4276-5178

According to our database1, Pablo M. Olmos authored at least 88 papers between 2009 and 2024.

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Bibliography

2024
Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss.
CoRR, 2024

Scalable Random Feature Latent Variable Models.
CoRR, 2024

Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models.
CoRR, 2024

Alzheimer's disease detection in PSG signals.
CoRR, 2024

Training Implicit Generative Models via an Invariant Statistical Loss.
CoRR, 2024

Calibration Methods for Alzheimer Disease Detection.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient local linearity regularization to overcome catastrophic overfitting.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Training Implicit Generative Models via an Invariant Statistical Loss.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks.
Eng. Appl. Artif. Intell., November, 2023

Handling Ill-Conditioned Omics Data With Deep Probabilistic Models.
IEEE J. Biomed. Health Informatics, September, 2023

Enhancing diversity in GANs via non-uniform sampling.
Inf. Sci., August, 2023

Regularizing transformers with deep probabilistic layers.
Neural Networks, April, 2023

Unsupervised learning of global factors in deep generative models.
Pattern Recognit., 2023

Deep autoregressive models with spectral attention.
Pattern Recognit., 2023

Automatic antibiotic resistance prediction in <i>Klebsiella pneumoniae</i> based on MALDI-TOF mass spectra.
Eng. Appl. Artif. Intell., 2023

Interpretable Spectral Variational AutoEncoder (ISVAE) for time series clustering.
CoRR, 2023

Sleep Activity Recognition and Characterization from Multi-Source Passively Sensed Data.
CoRR, 2023

Variational Mixture of HyperGenerators for Learning Distributions over Functions.
Proceedings of the International Conference on Machine Learning, 2023

2022
Medical Data Wrangling With Sequential Variational Autoencoders.
IEEE J. Biomed. Health Informatics, 2022

Bayesian sparse factor analysis with kernelized observations.
Neurocomputing, 2022

Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data.
CoRR, 2022

Multi-view hierarchical Variational AutoEncoders with Factor Analysis latent space.
CoRR, 2022

PyHHMM: A Python Library for Heterogeneous Hidden Markov Models.
CoRR, 2022

Multi-task longitudinal forecasting with missing values on Alzheimer's disease.
Comput. Methods Programs Biomed., 2022

Safe importance sampling based on partial posteriors and neural variational approximations.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Spatially Coupled Generalized LDPC Codes: Asymptotic Analysis and Finite Length Scaling.
IEEE Trans. Inf. Theory, 2021

Sparse semi-supervised heterogeneous interbattery bayesian analysis.
Pattern Recognit., 2021

Boosting Offline Handwritten Text Recognition in Historical Documents With Few Labeled Lines.
IEEE Access, 2021

2020
Handling incomplete heterogeneous data using VAEs.
Pattern Recognit., 2020

Robust Sampling in Deep Learning.
CoRR, 2020

Improving offline HTR in small datasets by purging unreliable labels.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

On the Design of Generalized LDPC Codes with Component BCJR Decoding.
Proceedings of the IEEE Global Communications Conference, 2020

Hidden Markov Models for Activity Detection in Atrial Fibrillation Electrograms.
Proceedings of the Computing in Cardiology, 2020

2019
Deep Sequential Models for Suicidal Ideation From Multiple Source Data.
IEEE J. Biomed. Health Informatics, 2019

A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC.
IEEE Trans. Inf. Theory, 2019

Probabilistic Time of Arrival Localization.
IEEE Signal Process. Lett., 2019

Portable Multispectral System Based on Color Detector for the Analysis of Homogeneous Surfaces.
J. Sensors, 2019

Improved BiGAN training with marginal likelihood equalization.
CoRR, 2019

Out-of-Sample Testing for GANs.
CoRR, 2019

2018
Probabilistic MIMO Symbol Detection With Expectation Consistency Approximate Inference.
IEEE Trans. Veh. Technol., 2018

Turbo EP-Based Equalization: A Filter-Type Implementation.
IEEE Trans. Commun., 2018

Generalized LDPC Codes for Ultra Reliable Low Latency Communication in 5G and Beyond.
IEEE Access, 2018

On Generalized LDPC Codes for 5G Ultra Reliable Communication.
Proceedings of the IEEE Information Theory Workshop, 2018

Spatially Coupled Generalized LDPC Codes: Introduction and Overview.
Proceedings of the 10th IEEE International Symposium on Turbo Codes & Iterative Information Processing, 2018

Boosting Handwriting Text Recognition in Small Databases with Transfer Learning.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

2017
Probabilistic Equalization With a Smoothing Expectation Propagation Approach.
IEEE Trans. Wirel. Commun., 2017

Expectation Propagation as Turbo Equalizer in ISI Channels.
IEEE Trans. Commun., 2017

Continuous Transmission of Spatially Coupled LDPC Code Chains.
IEEE Trans. Commun., 2017

On LDPC code ensembles with generalized constraints.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis.
Neural Comput., 2016

On the Waterfall Performance of Finite-Length SC-LDPC Codes Constructed From Protographs.
IEEE J. Sel. Areas Commun., 2016

Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit.
Entropy, 2016

Finite-length scaling based on Belief Propagation for spatially coupled LDPC codes.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
A Scaling Law to Predict the Finite-Length Performance of Spatially-Coupled LDPC Codes.
IEEE Trans. Inf. Theory, 2015

Scalable multi-output label prediction: From classifier chains to classifier trellises.
Pattern Recognit., 2015

Approaching the DT Bound Using Linear Codes in the Short Blocklength Regime.
IEEE Commun. Lett., 2015

Finite-length performance of multi-edge protograph-based spatially coupled LDPC codes.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Analyzing the finite-length performance of generalized LDPC codes.
Proceedings of the IEEE International Symposium on Information Theory, 2015

On Distributed Storage Allocations for Memory-Limited Systems.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Block expectation propagation equalization for ISI channels.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Expectation Propagation Detection for High-Order High-Dimensional MIMO Systems.
IEEE Trans. Commun., 2014

Improving the Finite-Length Performance of Spatially Coupled LDPC Codes by Connecting Multiple Code Chains.
CoRR, 2014

Improving the finite-length performance of long SC-LDPC code chains by connecting consecutive chains.
Proceedings of the 8th International Symposium on Turbo Codes and Iterative Information Processing, 2014

Analyzing finite-length protograph-based spatially coupled LDPC codes.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Improved performance of LDPC-coded MIMO systems with EP-based soft-decisions.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Tree-Structure Expectation Propagation for LDPC Decoding Over the BEC.
IEEE Trans. Inf. Theory, 2013

Tree-Structured Expectation Propagation for LDPC Decoding over BMS Channels.
IEEE Trans. Commun., 2013

Tree Expectation Propagation for ML Decoding of LDPC Codes over the BEC.
IEEE Trans. Commun., 2013

A closed-form scaling law for convolutional LDPC codes over the BEC.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

A finite length performance analysis of LDPC codes constructed by connecting spatially coupled chains.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Improving the BP estimate over the AWGN channel using Tree-structured expectation propagation.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
Remote Detection of a Frequency Jammer Operating in the Down Link of a Cellular System.
Wirel. Pers. Commun., 2012

On the Design of LDPC-Convolutional Ensembles Using the TEP Decoder.
IEEE Commun. Lett., 2012

Remote detection of interfered downlinks in wireless cellular systems.
Trans. Emerg. Telecommun. Technol., 2012

Tree-structured expectation propagation for LDPC decoding over the AWGN channel.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Finite-length performance of spatially-coupled LDPC codes under TEP decoding.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Finite-length analysis of the TEP decoder for LDPC ensembles over the BEC.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes.
IEEE Commun. Lett., 2011

An Application of Tree-Structured Expectation Propagation for Channel Decoding.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

MAP decoding for LDPC codes over the binary erasure channel.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011

Scaling behavior of convolutional LDPC ensembles over the BEC.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Capacity achieving LDPC ensembles for the TEP decoder in erasure channels.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes.
IEEE Trans. Signal Process., 2010

Tree-structure Expectation Propagation for Decoding LDPC codes over Binary Erasure Channels
CoRR, 2010

Tree-structure expectation propagation for decoding LDPC codes over binary erasure channels.
Proceedings of the IEEE International Symposium on Information Theory, 2010

2009
Analyzing signal strength versus quality levels in cellular systems: A case study in GSM.
Proceedings of the IEEE 20th International Symposium on Personal, 2009

Soft LDPC decoding in nonlinear channels with Gaussian processes for classification.
Proceedings of the 17th European Signal Processing Conference, 2009


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