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

IEEE transactions on signal processing, 2023-01, Vol.71, p.4178-4191

2023

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

IEEE signal processing letters, 2021-01, Vol.28, p.1953-1957

2021

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Bayesian Multi-Object Filtering for Pairwise Markov Chains

IEEE transactions on signal processing, 2013-09, Vol.61 (18), p.4481-4490

2013

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

IEEE transactions on signal processing, 2015-07, Vol.63 (14), p.3586-3598

2015

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

IEEE transactions on signal processing, 2014-07, Vol.62 (14), p.3643-3653

2014

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Independent Resampling Sequential Monte Carlo Algorithms

IEEE transactions on signal processing, 2017-10, Vol.65 (20), p.5318-5333

2017

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Semi-Independent Resampling for Particle Filtering

IEEE signal processing letters, 2018-01, Vol.25 (1), p.130-134

2018

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Marginalized particle PHD filters for multiple object Bayesian filtering

IEEE transactions on aerospace and electronic systems, 2014-04, Vol.50 (2), p.1182-1196

2014

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Direct, prediction- and smoothing-based Kalman and particle filter algorithms

Signal processing, 2011-08, Vol.91 (8), p.2064-2077

2011

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Exact Bayesian estimation in constrained Triplet Markov Chains

2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2014, p.1-6

2014

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Variational Bayesian Inference for Pairwise Markov Models

2021 IEEE Statistical Signal Processing Workshop (SSP), 2021, p.251-255

2021

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Particle filters with independent resampling

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.3994-3998

2016

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

2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021, p.1-6

2021

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Deep neural networks for audio scene recognition

2015 23rd European Signal Processing Conference (EUSIPCO), 2015, p.125-129

2015

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Predictive Models of Hard Drive Failures Based on Operational Data

2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017, p.619-625

2017

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Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.3992-3995

2011

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A particle smoothing implementation of the fully-adapted auxiliary particle filter: An alternative to auxiliary particle filters

2011 IEEE Statistical Signal Processing Workshop (SSP), 2011, p.217-220

2011

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A non asymptotical analysis of the optimal SIR algorithm vs. the fully adapted auxiliary particle filter

2011 IEEE Statistical Signal Processing Workshop (SSP), 2011, p.213-216

2011

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

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

Bayesian Multi-Object Filtering for Pairwise Markov Chains

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

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

Independent Resampling Sequential Monte Carlo Algorithms

Semi-Independent Resampling for Particle Filtering

Marginalized particle PHD filters for multiple object Bayesian filtering

Direct, prediction- and smoothing-based Kalman and particle filter algorithms

Exact Bayesian estimation in constrained Triplet Markov Chains

Variational Bayesian Inference for Pairwise Markov Models

Particle filters with independent resampling

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

Deep neural networks for audio scene recognition

Predictive Models of Hard Drive Failures Based on Operational Data

Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence

A particle smoothing implementation of the fully-adapted auxiliary particle filter: An alternative to auxiliary particle filters

A non asymptotical analysis of the optimal SIR algorithm vs. the fully adapted auxiliary particle filter

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