Adaptive Sample Sharing for Linear Regression.

Yohan Petetin

Hamza Cherkaoui Hélène Halconruy Yohan Petetin Adaptive Sample Sharing for Linear Regression. 2025 October abs/2510.16986 CoRR https://doi.org/10.48550/arXiv.2510.16986 db/journals/corr/corr2510.html#abs-2510-16986 streams/journals/corr

Idyano Leroy Augustin A. Saucan Yohan Petetin Daniel Clark An Analysis of the Mutual Information Upper Bound for Sensor-Subset Selection. 1-8 2024 FUSION https://doi.org/10.23919/FUSION59988.2024.10706439 conf/fusion/2024 db/conf/fusion/fusion2024.html#LeroySPC24

Hugo Gangloff Katherine Morales Yohan Petetin Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data. 107663 2023 April 180 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2022.107663 db/journals/csda/csda180.html#GangloffMP23

François Desbouvries Yohan Petetin Achille Salaün Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks From a System Theoretic Viewpoint. 4178-4191 2023 71 IEEE Trans. Signal Process. https://doi.org/10.1109/TSP.2023.3328108 db/journals/tsp/tsp71.html#DesbouvriesPS23

Katherine Morales Yohan Petetin A Probabilistic Semi-Supervised Approach with Triplet Markov Chains. 1-6 2023 MLSP https://doi.org/10.1109/MLSP55844.2023.10285889 conf/mlsp/2023 db/conf/mlsp/mlsp2023.html#MoralesP23

Katherine Morales Yohan Petetin A Probabilistic Semi-Supervised Approach with Triplet Markov Chains. 2023 abs/2309.03707 CoRR https://doi.org/10.48550/arXiv.2309.03707 db/journals/corr/corr2309.html#abs-2309-03707

François Desbouvries Yohan Petetin Achille Salaün Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint. 2022 abs/2208.08175 CoRR https://doi.org/10.48550/arXiv.2208.08175 db/journals/corr/corr2208.html#abs-2208-08175

Yohan Petetin Yazid Janati François Desbouvries Structured Variational Bayesian Inference for Gaussian State-Space Models With Regime Switching. 1953-1957 2021 28 IEEE Signal Process. Lett. https://doi.org/10.1109/LSP.2021.3113279 db/journals/spl/spl28.html#PetetinJD21

Hugo Gangloff Katherine Morales Yohan Petetin A General Parametrization Framework for Pairwise Markov Models: An Application to Unsupervised Image Segmentation. 1-6 2021 MLSP https://doi.org/10.1109/MLSP52302.2021.9596395 conf/mlsp/2021 db/conf/mlsp/mlsp2021.html#GangloffMP21 Katherine Morales Yohan Petetin Variational Bayesian Inference for Pairwise Markov Models. 251-255 2021 SSP https://doi.org/10.1109/SSP49050.2021.9513755 conf/ssp/2021 db/conf/ssp/ssp2021.html#MoralesP21

Nicolas Aussel Sophie Chabridon Yohan Petetin Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics. 2020 abs/2001.07504 CoRR https://arxiv.org/abs/2001.07504 db/journals/corr/corr2001.html#abs-2001-07504

Achille Salaün Yohan Petetin François Desbouvries Comparing the Modeling Powers of RNN and HMM. 1496-1499 2019 ICMLA https://doi.org/10.1109/ICMLA.2019.00246 conf/icmla/2019 db/conf/icmla/icmla2019.html#SalaunPD19

Roland Lamberti Yohan Petetin François Desbouvries François Septier Semi-Independent Resampling for Particle Filtering. 130-134 2018 25 IEEE Signal Process. Lett. 1 https://doi.org/10.1109/LSP.2017.2775150 db/journals/spl/spl25.html#LambertiPDS18

Nicolas Aussel Yohan Petetin Sophie Chabridon Improving Performances of Log Mining for Anomaly Prediction Through NLP-Based Log Parsing. 237-243 2018 MASCOTS https://doi.org/10.1109/MASCOTS.2018.00031 https://doi.ieeecomputersociety.org/10.1109/MASCOTS.2018.00031 conf/mascots/2018 db/conf/mascots/mascots2018.html#AusselPC18 Roland Lamberti Yohan Petetin François Septier François Desbouvries A Double Proposal Normalized Importance Sampling Estimator. 238-242 2018 SSP https://doi.org/10.1109/SSP.2018.8450849 conf/ssp/2018 db/conf/ssp/ssp2018.html#LambertiPSD18

Roland Lamberti Yohan Petetin François Desbouvries François Septier Independent Resampling Sequential Monte Carlo Algorithms. 5318-5333 2017 65 IEEE Trans. Signal Process. 20 https://doi.org/10.1109/TSP.2017.2726971 db/journals/tsp/tsp65.html#LambertiPDS17

Nicolas Aussel Samuel Jaulin Guillaume Gandon Yohan Petetin Eriza Fazli Sophie Chabridon Predictive Models of Hard Drive Failures Based on Operational Data. 619-625 2017 ICMLA https://doi.org/10.1109/ICMLA.2017.00-92 conf/icmla/2017 db/conf/icmla/icmla2017.html#AusselJGPFC17 Roland Lamberti Yohan Petetin François Septier François Desbouvries Particle filters with independent resampling. 3994-3998 2016 ICASSP https://doi.org/10.1109/ICASSP.2016.7472427 conf/icassp/2016 db/conf/icassp/icassp2016.html#LambertiPSD16 Roland Lamberti Yohan Petetin François Septier François Desbouvries An improved SIR-based Sequential Monte Carlo algorithm. 1-5 2016 SSP https://doi.org/10.1109/SSP.2016.7551745 conf/ssp/2016 db/conf/ssp/ssp2016.html#LambertiPSD16

Yohan Petetin François Desbouvries Bayesian Conditional Monte Carlo Algorithms for Nonlinear Time-Series State Estimation. 3586-3598 2015 63 IEEE Trans. Signal Process. 14 https://doi.org/10.1109/TSP.2015.2423251 db/journals/tsp/tsp63.html#PetetinD15

Yohan Petetin Cyrille Laroche Aurélien Mayoue Deep neural networks for audio scene recognition. 125-129 2015 EUSIPCO https://doi.org/10.1109/EUSIPCO.2015.7362358 conf/eusipco/2015 db/conf/eusipco/eusipco2015.html#PetetinLM15

Yohan Petetin Mark R. Morelande François Desbouvries Marginalized particle PHD filters for multiple object Bayesian filtering. 1182-1196 2014 50 IEEE Trans. Aerosp. Electron. Syst. 2 https://doi.org/10.1109/TAES.2014.120805 db/journals/taes/taes50.html#PetetinMD14

Noufel Abbassi Stéphane Derrode François Desbouvries Yohan Petetin Wojciech Pieczynski Filtrage statistique optimal rapide dans des systèmes linéaires à sauts non stationnaires. 339-361 2014 31 Traitement du Signal 3-4 https://doi.org/10.3166/ts.31.339-361 db/journals/tds/tds31.html#AbbassiDDPP14

Yohan Petetin François Desbouvries A Class of Fast Exact Bayesian Filters in Dynamical Models With Jumps. 3643-3653 2014 62 IEEE Trans. Signal Process. 14 https://doi.org/10.1109/tsp.2014.2329265 db/journals/tsp/tsp62.html#PetetinD14

Yohan Petetin François Desbouvries Exact Bayesian estimation in constrained Triplet Markov Chains. 1-6 2014 MLSP https://doi.org/10.1109/MLSP.2014.6958847 conf/mlsp/2014 db/conf/mlsp/mlsp2014.html#PetetinD14

Yohan Petetin François Desbouvries Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a non asymptotic analysis. 759-775 2013 23 Stat. Comput. 6 https://doi.org/10.1007/s11222-012-9345-5 db/journals/sac/sac23.html#PetetinD13

Yohan Petetin François Desbouvries Bayesian Multi-Object Filtering for Pairwise Markov Chains. 4481-4490 2013 61 IEEE Trans. Signal Process. 18 https://doi.org/10.1109/TSP.2013.2271751 db/journals/tsp/tsp61.html#PetetinD13

Yohan Petetin François Desbouvries Multi-object filtering for pairwise Markov chains. 348-353 2012 ISSPA https://doi.org/10.1109/ISSPA.2012.6310573 conf/isspa/2012 db/conf/isspa/isspa2012.html#PetetinD12 Yohan Petetin François Desbouvries Marginalized PHD Filters for multi-target filtering. 419-424 2012 ISSPA https://doi.org/10.1109/ISSPA.2012.6310587 conf/isspa/2012 db/conf/isspa/isspa2012.html#PetetinD12a Yohan Petetin François Desbouvries A mixed GM/SMC implementation of the probability hypothesis density filter. 425-430 2012 ISSPA https://doi.org/10.1109/ISSPA.2012.6310588 conf/isspa/2012 db/conf/isspa/isspa2012.html#PetetinD12b Yohan Petetin François Desbouvries A semi-exact sequential Monte Carlo filtering algorithm in Hidden Markov Chains. 595-600 2012 ISSPA https://doi.org/10.1109/ISSPA.2012.6310621 conf/isspa/2012 db/conf/isspa/isspa2012.html#PetetinD12c Yohan Petetin François Desbouvries Further Rao-Blackwellizing an already Rao-Blackwellized algorithm for Jump Markov State Space Systems. 706-711 2012 ISSPA https://doi.org/10.1109/ISSPA.2012.6310644 conf/isspa/2012 db/conf/isspa/isspa2012.html#PetetinD12d

François Desbouvries Yohan Petetin Boujemaa Ait-El-Fquih Direct, prediction- and smoothing-based Kalman and particle filter algorithms. 2064-2077 2011 91 Signal Process. 8 https://doi.org/10.1016/j.sigpro.2011.03.013 db/journals/sigpro/sigpro91.html#DesbouvriesPA11

François Desbouvries Yohan Petetin Emmanuel Monfrini Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence. 3992-3995 2011 ICASSP https://doi.org/10.1109/ICASSP.2011.5947227 conf/icassp/2011 db/conf/icassp/icassp2011.html#DesbouvriesPM11 Noufel Abbassi Boujemaa Ait-El-Fquih Nicolas Aussel Sophie Chabridon Hamza Cherkaoui Daniel Clark Stéphane Derrode François Desbouvries Eriza Fazli Guillaume Gandon Hugo Gangloff Hélène Halconruy Yazid Janati Samuel Jaulin Roland Lamberti Cyrille Laroche Idyano Leroy Aurélien Mayoue Emmanuel Monfrini Katherine Morales Mark R. Morelande Wojciech Pieczynski Achille Salaün Augustin A. Saucan François Septier