Yohan Petetin

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 17

Top Topics

Variational Bayesian Inference

Importance Sampling

Top Venues

IEEE Trans. Signal Process.

Publications

Katherine Morales, Yohan Petetin
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains. MLSP (2023)
Katherine Morales, Yohan Petetin
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains. CoRR (2023)
Hugo Gangloff, Katherine Morales, Yohan Petetin
Deep parameterizations of pairwise and triplet Markov models for unsupervised classification of sequential data. Comput. Stat. Data Anal. 180 (2023)
François Desbouvries, Yohan Petetin, Achille Salaün
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks From a System Theoretic Viewpoint. IEEE Trans. Signal Process. 71 (2023)
François Desbouvries, Yohan Petetin, Achille Salaün
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint. CoRR (2022)
Hugo Gangloff, Katherine Morales, Yohan Petetin
A General Parametrization Framework for Pairwise Markov Models: An Application to Unsupervised Image Segmentation. MLSP (2021)
Katherine Morales, Yohan Petetin
Variational Bayesian Inference for Pairwise Markov Models. SSP (2021)
Yohan Petetin, Yazid Janati, François Desbouvries
Structured Variational Bayesian Inference for Gaussian State-Space Models With Regime Switching. IEEE Signal Process. Lett. 28 (2021)
Nicolas Aussel, Sophie Chabridon, Yohan Petetin
Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics. CoRR (2020)
Achille Salaün, Yohan Petetin, François Desbouvries
Comparing the Modeling Powers of RNN and HMM. ICMLA (2019)
Nicolas Aussel, Yohan Petetin, Sophie Chabridon
Improving Performances of Log Mining for Anomaly Prediction Through NLP-Based Log Parsing. MASCOTS (2018)
Roland Lamberti, Yohan Petetin, François Desbouvries, François Septier
Semi-Independent Resampling for Particle Filtering. IEEE Signal Process. Lett. 25 (1) (2018)
Roland Lamberti, Yohan Petetin, François Septier, François Desbouvries
A Double Proposal Normalized Importance Sampling Estimator. SSP (2018)
Nicolas Aussel, Samuel Jaulin, Guillaume Gandon, Yohan Petetin, Eriza Fazli, Sophie Chabridon
Predictive Models of Hard Drive Failures Based on Operational Data. ICMLA (2017)
Roland Lamberti, Yohan Petetin, François Desbouvries, François Septier
Independent Resampling Sequential Monte Carlo Algorithms. IEEE Trans. Signal Process. 65 (20) (2017)
Roland Lamberti, Yohan Petetin, François Septier, François Desbouvries
Particle filters with independent resampling. ICASSP (2016)
Roland Lamberti, Yohan Petetin, François Septier, François Desbouvries
An improved SIR-based Sequential Monte Carlo algorithm. SSP (2016)
Yohan Petetin, Cyrille Laroche, Aurélien Mayoue
Deep neural networks for audio scene recognition. EUSIPCO (2015)
Yohan Petetin, François Desbouvries
Bayesian Conditional Monte Carlo Algorithms for Nonlinear Time-Series State Estimation. IEEE Trans. Signal Process. 63 (14) (2015)
Yohan Petetin, François Desbouvries
A Class of Fast Exact Bayesian Filters in Dynamical Models With Jumps. IEEE Trans. Signal Process. 62 (14) (2014)
Yohan Petetin, François Desbouvries
Exact Bayesian estimation in constrained Triplet Markov Chains. MLSP (2014)
Yohan Petetin, Mark R. Morelande, François Desbouvries
Marginalized particle PHD filters for multiple object Bayesian filtering. IEEE Trans. Aerosp. Electron. Syst. 50 (2) (2014)
Noufel Abbassi, Stéphane Derrode, François Desbouvries, Yohan Petetin, Wojciech Pieczynski
Filtrage statistique optimal rapide dans des systèmes linéaires à sauts non stationnaires. Traitement du Signal 31 (3-4) (2014)
Yohan Petetin, François Desbouvries
Bayesian Multi-Object Filtering for Pairwise Markov Chains. IEEE Trans. Signal Process. 61 (18) (2013)
Yohan Petetin, François Desbouvries
Optimal SIR algorithm vs. fully adapted auxiliary particle filter: a non asymptotic analysis. Stat. Comput. 23 (6) (2013)
Yohan Petetin, François Desbouvries
Further Rao-Blackwellizing an already Rao-Blackwellized algorithm for Jump Markov State Space Systems. ISSPA (2012)
Yohan Petetin, François Desbouvries
Marginalized PHD Filters for multi-target filtering. ISSPA (2012)
Yohan Petetin, François Desbouvries
A semi-exact sequential Monte Carlo filtering algorithm in Hidden Markov Chains. ISSPA (2012)
Yohan Petetin, François Desbouvries
A mixed GM/SMC implementation of the probability hypothesis density filter. ISSPA (2012)
Yohan Petetin, François Desbouvries
Multi-object filtering for pairwise Markov chains. ISSPA (2012)
François Desbouvries, Yohan Petetin, Boujemaa Ait-El-Fquih
Direct, prediction- and smoothing-based Kalman and particle filter algorithms. Signal Process. 91 (8) (2011)
François Desbouvries, Yohan Petetin, Emmanuel Monfrini
Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence. ICASSP (2011)