Pierre-Antoine Thouvenin

According to our database, Pierre-Antoine Thouvenin authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Efficient Sampling of Non Log-Concave Posterior Distributions With Mixture of Noises.

Pierre Palud, Pierre-Antoine Thouvenin, Pierre Chainais, Emeric Bron, Franck Le Petit

IEEE Trans. Signal Process., 2023

2022

A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems.

Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais

CoRR, 2022

A versatile distributed MCMC algorithm for large scale inverse problems.

Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais

Proceedings of the 30th European Signal Processing Conference, 2022

Mixture of noises and sampling of non-log-concave posterior distributions.

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

Proceedings of the 30th European Signal Processing Conference, 2022

2019

Partially Asynchronous Distributed Unmixing of Hyperspectral Images.

Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret

IEEE Trans. Geosci. Remote. Sens., 2019

2018

A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images.

Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret

IEEE Trans. Computational Imaging, 2018

Time-Regularized Blind Deconvolution Approach for Radio Interferometry.

Pierre-Antoine Thouvenin, Audrey Repetti, Arwa Dabbech, Yves Wiaux

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

2017

Modeling spatial and temporal variabilities in hyperspectral image unmixing. (Modélisation de la variabilité spectrale pour le démélange d'images hyperspectrales).

Pierre-Antoine Thouvenin

PhD thesis, 2017

Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations.

Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model.

Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret

IEEE Trans. Signal Process., 2016

Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability.

Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret

IEEE Trans. Image Process., 2016

Unmixing multitemporal hyperspectral images with variability: An online algorithm.

Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

A perturbed linear mixing model accounting for spectral variability.

Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret

Proceedings of the 23rd European Signal Processing Conference, 2015