Nicolas Dobigeon

About

Nicolas Dobigeon received the Eng. degree in Electrical Engineering from INP-ENSEEIHT, Toulouse, France, and the M.Sc. degree in Signal Processing from the Institut National Polytechnique de Toulouse (Toulouse INP), both in June 2004. He received the Ph.D. degree and Habilitation à Diriger les Recherches in Signal Processing from Toulouse INP in 2007 and 2012, respectively. From 2007 to 2008, he was a Postdoctoral Research Associate with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor.

Since 2008, Nicolas Dobigeon has been with Toulouse INP (INP-ENSEEIHT, University of Toulouse) where he is currently a Professor. He conducts his research within the Signal and Communications (SC) group of IRIT and is an associate member of the Apprentissage Optimisation Complexité (AOC) project-team of CIMI. He currently holds an AI Research Chair at the Artificial and Natural Intelligence Toulouse Institute (ANITI) and he is an Honorary Member of the Institut Universitaire de France (IUF, Junior Class 2017).

He is currently a Senior Area Editor for IEEE Trans. Signal Processing (since 2022), the Deputy Head of the Dept. of Signals and Images at IRIT (since 2017) and a Scientific Advisor for the Dept. of Research Evaluation at the High Council for Evaluation of Research and Higher Education (Hcéres, since 2023).

His recent research activities have been focused on statistical signal and image processing, with a particular interest in Bayesian inverse problems and applications to remote sensing, astronomy and astrophysics, biomedical imaging and microscopy.

homepage: https://ndobigeon.github.io/

Employment

• Haut Conseil de l'Evaluation de la Recherche et de l'Enseignement Supérieur (Hcéres) Scientific Officer/Advisor
  2023 - 2026
• Artificial and Natural Intelligence Toulouse Institute (ANITI) AI Research Chairholder
  2019 - Present
• Institut Universitaire de France Junior Member
  2017 - 2022
• Toulouse INP Full Professor
  2008 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (113)

• PDRs4All
  Amélie Canin, Cédric Févotte, Nicolas Dobigeon +3 more
  Astronomy & Astrophysics 2026 DOI: 10.1051/0004-6361/202558120
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• Fusion of JWST data: Demonstrating practical feasibility
  Landry Marquis, Claire Guilloteau, Thomas Oberlin +2 more
  Astronomy & Astrophysics 2026 DOI: 10.1051/0004-6361/202558121
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• Joint Tensor and Inter-View Low-Rank Recovery for Incomplete Multiview Clustering
  2026 DOI: 10.2139/ssrn.6683853
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• Determined Blind Source Separation With Sinkhorn Divergence-Based Optimal Allocation of the Source Power
  IEEE Transactions on Audio, Speech and Language Processing 2025 DOI: 10.1109/TASLPRO.2025.3609150
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• Online Simplex-Structured Matrix Factorization
  IEEE Signal Processing Letters 2025 DOI: 10.1109/LSP.2025.3611695
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• Regularization by Denoising: Bayesian Model and Langevin-Within-Split Gibbs Sampling
  IEEE Transactions on Image Processing 2025 DOI: 10.1109/TIP.2024.3520012
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• Normalizing flow sampling with Langevin dynamics in the latent space
  Machine Learning 2024 DOI: 10.1007/s10994-024-06623-x
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• CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors
  Information Fusion 2024 DOI: 10.1016/j.inffus.2024.102313
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• AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising
  IEEE Transactions on Geoscience and Remote Sensing 2024 DOI: 10.1109/TGRS.2024.3377472
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• Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference
  IEEE Transactions on Image Processing 2024 DOI: 10.1109/TIP.2024.3404338
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• Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images
  Medical Image Analysis 2023 DOI: 10.1016/j.media.2022.102689
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• A Fast Spatial–Spectral NMF for Hyperspectral Unmixing
  IEEE Geoscience and Remote Sensing Letters 2023 DOI: 10.1109/LGRS.2023.3282218
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• Guided Deep Generative Model-Based Spatial Regularization for Multiband Imaging Inverse Problems
  IEEE Transactions on Image Processing 2023 DOI: 10.1109/TIP.2023.3321460
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• Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows
  2023 DOI: 10.1007/978-3-031-26419-1_17
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• Spatial–Spectral Multiscale Sparse Unmixing for Hyperspectral Images
  IEEE Geoscience and Remote Sensing Letters 2023 DOI: 10.1109/LGRS.2023.3328370
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• High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm
  SIAM Review 2022 DOI: 10.1137/20M1371026
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• A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability
  IEEE Transactions on Geoscience and Remote Sensing 2022 DOI: 10.1109/TGRS.2022.3141387
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• Fast Hyperspectral Unmixing Using a Multiscale Sparse Regularization
  IEEE Geoscience and Remote Sensing Letters 2022 DOI: 10.1109/LGRS.2022.3217872
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• Weighted Residual NMF With Spatial Regularization for Hyperspectral Unmixing
  IEEE Geoscience and Remote Sensing Letters 2022 DOI: 10.1109/LGRS.2022.3182042
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• Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms
  Journal of Computational and Graphical Statistics 2021 DOI: 10.1080/10618600.2020.1826954
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