A perturbed linear mixing model accounting for spectral variability. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (EUSIPCO, 2015)

Unmixing multitemporal hyperspectral images with variability: An online algorithm. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (ICASSP, 2016)

Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Image Process., 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)

Unmixing multitemporal hyperspectral images accounting for smooth and abrupt variations. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (EUSIPCO, 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)

Time-Regularized Blind Deconvolution Approach for Radio Interferometry. - Pierre-Antoine Thouvenin; Audrey Repetti; Arwa Dabbech; Yves Wiaux (SAM, 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)

Partially Asynchronous Distributed Unmixing of Hyperspectral Images. - Pierre-Antoine Thouvenin; Nicolas Dobigeon; Jean-Yves Tourneret (IEEE Trans. Geosci. Remote. Sens., 2019)

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; et al. (EUSIPCO, 2022)

A versatile distributed MCMC algorithm for large scale inverse problems. - Pierre-Antoine Thouvenin; Audrey Repetti; Pierre Chainais (EUSIPCO, 2022)

A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems. - Pierre-Antoine Thouvenin; Audrey Repetti; Pierre Chainais (CoRR, 2022)

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)

Denoising Bivariate Signals via Smoothing and Polarization Priors. - Yusuf Yigit Pilavci; Jérémie Boulanger; Pierre-Antoine Thouvenin; Pierre Chainais (EUSIPCO, 2024)

A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems. - Pierre-Antoine Thouvenin; Audrey Repetti; Pierre Chainais (J. Comput. Graph. Stat., 2024)

Multi-GPU distributed PnP-ULA for high-dimensional imaging inverse problems. - Maxime Bouton; Pierre-Antoine Thouvenin; Audrey Repetti; Pierre Chainais (SSP, 2025)

Time and covariance smoothing for restoration of bivariate signals. - Yusuf Yigit Pilavci; Pierre Palud; Julien Flamant; Pierre-Antoine Thouvenin; Jérémie Boulanger; Pierre Chainais (SSP, 2025)