Yohan Petetin

Comput. Stat. Data Anal., April, 2023

Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks From a System Theoretic Viewpoint.

[BibT_eX]

[DOI]

Achille Salaün

IEEE Trans. Signal Process., 2023

A Probabilistic Semi-Supervised Approach with Triplet Markov Chains.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2021

Structured Variational Bayesian Inference for Gaussian State-Space Models With Regime Switching.

[BibT_eX]

[DOI]

Yazid Janati

IEEE Signal Process. Lett., 2021

Variational Bayesian Inference for Pairwise Markov Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

A General Parametrization Framework for Pairwise Markov Models: An Application to Unsupervised Image Segmentation.

[BibT_eX]

[DOI]

Hugo Gangloff

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020

Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics.

[BibT_eX]

[DOI]

Nicolas Aussel

Sophie Chabridon

CoRR, 2020

2019

Comparing the Modeling Powers of RNN and HMM.

[BibT_eX]

[DOI]

Achille Salaün

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Semi-Independent Resampling for Particle Filtering.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

A Double Proposal Normalized Importance Sampling Estimator.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Improving Performances of Log Mining for Anomaly Prediction Through NLP-Based Log Parsing.

[BibT_eX]

[DOI]

Nicolas Aussel

Sophie Chabridon

Proceedings of the 26th IEEE International Symposium on Modeling, 2018

2017

Independent Resampling Sequential Monte Carlo Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Predictive Models of Hard Drive Failures Based on Operational Data.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

An improved SIR-based Sequential Monte Carlo algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Particle filters with independent resampling.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Bayesian Conditional Monte Carlo Algorithms for Nonlinear Time-Series State Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Deep neural networks for audio scene recognition.

[BibT_eX]

[DOI]

Cyrille Laroche

Aurélien Mayoue

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

A Class of Fast Exact Bayesian Filters in Dynamical Models With Jumps.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Filtrage statistique optimal rapide dans des systèmes linéaires à sauts non stationnaires.

[BibT_eX]

[DOI]

Traitement du Signal, 2014

Marginalized particle PHD filters for multiple object Bayesian filtering.

[BibT_eX]

[DOI]

Mark R. Morelande

IEEE Trans. Aerosp. Electron. Syst., 2014

Exact Bayesian estimation in constrained Triplet Markov Chains.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

2013

Bayesian Multi-Object Filtering for Pairwise Markov Chains.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a non asymptotic analysis.

[BibT_eX]

[DOI]

Stat. Comput., 2013

2012

Further Rao-Blackwellizing an already Rao-Blackwellized algorithm for Jump Markov State Space Systems.

[BibT_eX]

[DOI]