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Nicolas Dobigeon
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Normalizing flow sampling with Langevin dynamics in the latent space


May 20, 2023
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

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Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference


Apr 21, 2023
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

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Probabilistic Simplex Component Analysis by Importance Sampling


Feb 22, 2023
Nerya Granot, Tzvi Diskin, Nicolas Dobigeon, Ami Wiesel

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Sliced-Wasserstein normalizing flows: beyond maximum likelihood training


Jul 12, 2022
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

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Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows


Jul 05, 2022
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

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CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images


Mar 02, 2022
Jin-Ju Wang, Nicolas Dobigeon, Marie Chabert, Ding-Cheng Wang, Jie Huang, Ting-Zhu Huang

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Provably robust blind source separation of linear-quadratic near-separable mixtures


Nov 24, 2020
Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon

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* 23 pages + 24 pages of Appendix containing the proofs 
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Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling


Feb 04, 2020
Etienne Monier, Thomas Oberlin, Nathalie Brun, Xiaoyan Li, Marcel Tencé, Nicolas Dobigeon

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Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging


Dec 26, 2019
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon

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Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images


Jul 19, 2019
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon

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