Pierre-Antoine Thouvenin

19 papers Misc 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems.
CoRR
Maxime Bouton, Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2025 — conf
Multi-GPU distributed PnP-ULA for high-dimensional imaging inverse problems.
SSP
Maxime Bouton, Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2025 — conf
Time and covariance smoothing for restoration of bivariate signals.
SSP
Yusuf Yigit Pilavci, Pierre Palud, Julien Flamant, Pierre-Antoine Thouvenin, Jérémie Boulanger, Pierre Chainais
2024 J jnl
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems.
J. Comput. Graph. Stat.
Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2024 — conf
Denoising Bivariate Signals via Smoothing and Polarization Priors.
EUSIPCO
Yusuf Yigit Pilavci, Jérémie Boulanger, Pierre-Antoine Thouvenin, Pierre Chainais
2023 J jnl
Efficient Sampling of Non Log-Concave Posterior Distributions With Mixture of Noises.
IEEE Trans. Signal Process.
Pierre Palud, Pierre-Antoine Thouvenin, Pierre Chainais, Emeric Bron, Franck Le Petit
2022 J jnl
A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems.
CoRR
Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2022 — conf
A versatile distributed MCMC algorithm for large scale inverse problems.
EUSIPCO
Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2022 — conf
Mixture of noises and sampling of non-log-concave posterior distributions.
EUSIPCO
Pierre Palud, Pierre Chainais, Franck Le Petit, Emeric Bron, Pierre-Antoine Thouvenin, Maxime Vono, L. Einig, M. Garcia Santa-Maria, Mathilde Gaudel, Jan H. Orkisz, Victor de Souza Magalhaes, Sébastien Bardeau, Maryvonne Gerin, Javier R. Goicoechea, Pierre Gratier, Viviana V. Guzmán, Jouni Kainulainen, François Levrier, Nicolas Peretto, Jérome Pety, Antoine Roueff, Albrecht Sievers
2019 J jnl
Partially Asynchronous Distributed Unmixing of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
2018 J jnl
A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images.
IEEE Trans. Computational Imaging
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
2018 — conf
Time-Regularized Blind Deconvolution Approach for Radio Interferometry.
SAM
Pierre-Antoine Thouvenin, Audrey Repetti, Arwa Dabbech, Yves Wiaux
2017 — —
Modeling spatial and temporal variabilities in hyperspectral image unmixing. (Modélisation de la variabilité spectrale pour le démélange d'images hyperspectrales).
Pierre-Antoine Thouvenin
2017 — conf
Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations.
EUSIPCO
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
2016 J jnl
Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model.
IEEE Trans. Signal Process.
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
2016 J jnl
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability.
IEEE Trans. Image Process.
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
2016 Misc conf
Unmixing multitemporal hyperspectral images with variability: An online algorithm.
ICASSP
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
2015 — conf
A perturbed linear mixing model accounting for spectral variability.
EUSIPCO
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
2015 J jnl
Online unmixing of multitemporal hyperspectral images accounting for spectral variability.
CoRR
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret