I hope that correctness and novelty will outlast visibility and volume;
Preprints
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Convex Curve Recovery in Phase Space. Extreme Points and Exact Graph Discretization.HAL Preprint (2026)(pdf)
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Interfacial Permeability, Reflectivity and Preferential Internal Mixing of Phase-Separated Condensates.ArXiv Preprint (2026)(pdf)
2026
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A Morse-Bott Framework for Blind Inverse Problems. Local Recovery and the Failure of the MAP.(Previously: How diffusion prior landscapes shape the posterior in blind deconvolution)SIAM Imaging Science (2026)(pdf)
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An analytic theory of convolutional neural network inverse problems solvers.ICML (2026)(pdf)
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MyoFuse: A fully AI-based workflow for automated quantification of skeletal muscle cell fusion in vitro.Scientific reports (2026)(pdf)
2025
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DeepInverse: A Python package for solving imaging inverse problems with deep learning.JOSS (2025)(pdf) (doc) (github) (video)
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Jackpot: Approximating Uncertainty Domains with Adversarial ManifoldsJMLR (2025)(pdf)
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Sketchpose: learning to segment cells with partial annotationsMELBA (2025)(pdf) (video)
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Exploring instabilities of inverse problem solvers with low-dimensional manifoldsIPMS Proceeding (2025)(pdf)
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MAP, déconvolution aveugle et a priori appris : un subtil mélangeGRETSI (2025)(pdf)
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Jackpot 2.0 : variété d'incertitude pour les problèmes inversesGRETSI (2025)(pdf)
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Inférence de paramètres bio-physiques par microscopie FRAPGRETSI (2025)(pdf)
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Sketchpose 2.0 – Entraîner des Modèles de Segmentation d’Instances à partir d’Annotations PartiellesGRETSI (2025)(pdf)
2024
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DeepVibes: Correcting Micro-Vibrations in Satellite Imaging with Pushbroom Cameras.IEEE Transactions on Geoscience and Remote Sensing (2024)(pdf)
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Grid is Good: Adaptive Refinement Algorithms for Off-the-Grid Total Variation Minimization.Open Journal on Mathematical Optimization (OJMO) (2024)(pdf)
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DEEP-BLUR: Blind Identification and Deblurring with Convolutional Neural Networks.Biological Imaging, Cambridge University Press (2024)(pdf)
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SVETLANA: A Supervised Segmentation Classifier for NAPARI.Nature Scientific Reports (2024)(pdf) (video)
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Training Adaptive Reconstruction Networks for Blind Inverse Problems.SIAM Imaging Science (2024)(pdf)
2023
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The MLE is a reliable source: sharp performance guarantees for localization problems.Inverse Problems (2023)(pdf)
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Bayesian Optimization of Sampling Densities in MRI.MELBA: Machine Learning for Biomedical Imaging (2023)(pdf)
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Algorithmes de Visualisation de Non-Identifiabilité.GRETSI (2023)(pdf)
2022
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Spurious minimizers in non uniform Fourier sampling optimization.Inverse Problems (2022)(pdf)
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Blind inverse problems with isolated spikes.Information & Inference (2022)(pdf)
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Globally optimized 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging.IEEE Transactions on Medical Imaging (2022)(pdf)
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Sampling rates for l1 synthesis.Foundations of Computational Mathematics (FoCM) (2022)(pdf)
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A fast dejittering approach for line scanning microscopy.IEEE International Conference on Image Processing (2022)(pdf)
2021
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Learning low-dimensional models of microscopes.IEEE Transactions on Computational Imaging (2021)(pdf) (video)
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DEEPBLUR: Blind Identification of Space Variant PSF.IEEE ISBI (2021)(pdf)
2020
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Fast Wavelet Decomposition of Linear Operators through Product-Convolution Expansions.IMA Journal of Numerical Analysis (2020)(pdf)
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On the linear convergence rates of exchange and continuous methods for total variation minimization.Mathematical Programming A (2020)(pdf)
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3D variable-density SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging.NMR in Biomedicine (2020)(pdf)
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Correcting the side effects of ADC filtering in MR image reconstruction.JMIV (2020)(pdf)
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Modelling a Microscope as Low Dimensional Subspace of Operators.EUSIPCO (2020)(pdf) (video)
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Off-the-grid data-driven optimization of sampling schemes in MRI.ITWIST (2020)(pdf) (video)
2019
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Contributions aux mathématiques de l'imagerie.HDR de l'université Paul Sabatier (2019)(pdf)
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A scalable estimator of sets of integral operators.Inverse Problems (2019)(pdf)
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Measure and characterization of the forces exerted by growing multicellular spheroids using microdevice arrays.PLOS ONE (2019)(pdf)
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FitEllipsoid: a fast supervised ellipsoid segmentation plugin.BMC Bioinformatics (2019)(pdf) (video) (codes)
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Optimal transport approximation of measures.SIAM Imaging Science (2018)(pdf) (video)
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Multiview Attenuation Estimation and Correction.JMIV (2019)(pdf) (codes)
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Contrast Invariant SNR and Isotonic Regressions.International Journal of Computer Vision (2019)(pdf) (codes)
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On Representer Theorems and Convex Regularization.SIAM Optimization (2019)(pdf)
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SPARKLING: variable-density k-space filling curves for accelerated T2*-weighted MRI.Magnetic Resonance in Medicine (2019)(pdf)
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PATENT BD18193MBT: METHOD AND APPARATUS FOR ACCELERATED MAGNETIC RESONANCE IMAGING.(2019)
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Iterative Discretization of Optimization Problems Related to Superresolution.Proc. SAMPTA (2019)
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A scalable estimator of space varying blurs - application in super-resolution.Proc. SPARS (2019)
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Compressed sensing and the synthesis formulation.Proc. SPARS (2019)
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Eventual linear convergence rate of an exchange algorithm for superresolution.Proc. SPARS (2019)
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3D SPARKLING for accelerated ex vivo T2*-weighted MRI with compressed sensing.Proc. ISMRM (2019)
2018
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Exact solutions of infinite dimensional total-variation regularized problems.Information and Inference (2018)(pdf)
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Estimation of linear operators from scattered impulse responses.Applied and Computational Harmonic Analysis (2018)(pdf)
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Accelerating l1-l2 deblurring using wavelet expansions of operators.Journal of Computational and Applied Mathematics (2018)(pdf)
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An Empirical Study of the Maximum Degree of Undersampling in Compressed Sensing for T2*-weighted MRI.Magnetic Resonance Imaging (2018)(pdf)
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Impact of physical confinement on nuclei geometry and cell division dynamics in 3D spheroids.Nature Scientific Reports (2018)(pdf)
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Distribution-controlled and optimally spread non-Cartesian sampling curves for accelerated in vivo brain imaging at 7 Tesla.Proc. ISMRM (2018)(pdf)
2017
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Compressed sensing with structured sparsity and structured acquisition.Applied and Computational Harmonic Analysis (2017)(pdf)
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Approximation of integral operators using product-convolution expansions.JMIV, Vol. 58, No. 3, pp. 333-348 (2017)(pdf)
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A Variational Model for Multiplicative Structured Noise Removal.JMIV, Vol. 57, No. 1, pp. 43-55 (2017)(pdf)
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A projection method on measures sets.Constructive Approximation, pp. 83-111 (2017)(pdf)
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SPARKLING: Novel Non-Cartesian Sampling Schemes for Accelerated 2D Anatomical Imaging at 7T Using Compressed Sensing.Proc. ISMRM (2017)(pdf)
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SPARKLING: nouveaux schémas d'échantillonnage compressif prospectif pour l'IRM haute résolution.Proc. GRETSI (2017)(pdf)
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Approches variationnelles pour le stippling: distances L2 ou transport optimal ?Proc. GRETSI (2017)(pdf)
2016
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On the generation of sampling schemes for Magnetic Resonance Imaging.SIAM Imaging Science, Vol. 9, N.4, 2039-2072 (2016)(pdf)
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Gradient waveform design for variable density sampling in Magnetic Resonance Imaging.IEEE Transactions on Medical Imaging, 35(9), 2026-2039 (2016)(pdf) (Matlab codes)
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An analysis of block sampling strategies in compressed sensing.IEEE Information Theory, 62(4), 2125-2139 (2016)(pdf)
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Structure tensor based analysis of cells and nuclei organization in tissues.IEEE Transactions on Medical Imaging, vol. 35, Issue 1 (2016)(pdf) (Codes)
2015
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Sparse Wavelet Representation of Spatially Varying Blurring Operators.SIAM Imaging Science, Vol. 8, N. 4, pp. 2976-3014, (2015).(pdf)
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Graph Cut Based Segmentation of Predefined Shapes: Applications to Biological Imaging.Book chapter, Pattern Recognition Applications and Methods: A. Fred & M. De Marisco editors, Springer (2015).(pdf)
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Bilevel Image Denoising using Gaussianity Tests.Proc. SSVM (2015).(pdf)
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Variable density sampling based on physically plausible gradient waveform. Application to 3D MRI angiography.Proc ISBI (2015).(pdf)
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Echantillonnage compressé avec acquisition structurée et parcimonie structurée.Proc. GRETSI (2015).(pdf)
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Approximation et Estimation des Opérateurs de Flou Variable.Proc. GRETSI (2015).(pdf)
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Comment représenter une image avec un spaghetti ?GRETSI (2015).(pdf)
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Sur la génération de schémas d'échantillonnage compressé en IRM.GRETSI (2015).(pdf)
2014
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Variable density sampling with continuous trajectories: application to MRI.SIAM Journal on Imaging Science, vol. 7, issue 4 (2014)(pdf)
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An algorithm for variable density sampling with block-constrained acquisition.SIAM Journal on Imaging Science, vol. 7, issue 2 (2014)(pdf)
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Processing stationary noise: model and parameter selection in variational methods.SIAM Journal on Imaging Science, vol. 7, issue 2 (2014)(pdf)
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On variant strategies to solve the magnitude least squares optimization problem in parallel transmission pulse design and under strict SAR and power constraints.IEEE Transactions on Medical Imaging, vol. 33, issue 3 (2014)(pdf)
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Microdevice arrays of high aspect ratio Poly(DiMethylSiloxane) pillars for the investigation of multicellular tumour spheroids mechanical properties.Lab On Chip, vol. 14, pp. 2344–2353 (2014)
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Hyperspectral pan-sharpening: a convex constrained formulation to impose parallel level lines.Proc. WHISPERS (2014)(pdf)
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Optical signature of multicellular tumor spheroids using index-mismatch induced spherical aberrations.SPIE Optical Interactions with Tissues and Cells (2014)
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PDMS microdevice arrays for measuring the forces exerted by growing multicellular tumor spheroids.Proc. MicroTAS (2014)(pdf)
2013
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Travelling salesman-based variable density sampling.Proc. Sampta (2013)(pdf)
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A theoretical analysis of a sampling strategy among blocks of measurements for compressed sensing.Proc. Sampta (2013)(pdf)
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From variable density sampling to continuous sampling using Markov chains.Proc. Sampta (2013)(pdf)
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Image restoration using sparse approximations of spatially varying blur operators in the wavelet domain.Proc. NCMIP, Journal of Physics: Conference Series, IOP Publishing (2013)(pdf)
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Variable density compressed sensing in MRI. Theoretical vs heuristic sampling strategies.Proc. ISBI (2013)(pdf)
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Spatially varying blur recovery: diagonal approximations in the wavelet domain.Proc. ICPRAM (2013)(pdf)
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A 3D segmentation algorithm for ellipsoidal shapes: application to nuclei extraction.Proc. ICPRAM (2013)(pdf)
2012
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Variational algorithms to remove stationary noise. Application to microscopy imaging.IEEE Transactions on Image Processing, Vol. 21, No. 10, pp. 4420–4430, October (2012)(pdf) (web) (zip) (slides)
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HYR2PICS: Hybrid Regularized Reconstruction for Combined Parallel Imaging and Compressive Sensing in MRI.Proc. ISBI (2012)(pdf)
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Variational algorithms to remove stripes: a generalization of the negative norm models.Proc. ICPRAM (2012)(pdf)
2011
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On the illumination invariance of the level lines under directed light. Application to change detection.SIAM Journal on Imaging Sciences, Vol. 4, No. 1, pp. 448–471 (2011)(pdf)
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Live cell division dynamics monitoring in 3D large spheroid tumor models using light sheet microscopy.6:22, Cell Division (2011)(pdf)
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Accelerating ISTA with an active set strategy.Workshop NIPS Opt2011 (2011)(pdf)
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Alternating Direction Method of Multipliers Applied to 3D Light Sheet Fluorescence Microscopy Image Deblurring Using GPU Hardware.EMBC (2011)(pdf)
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Restauration 3D en imagerie fluorescente par feuille de lumière avec implantation GPU.GRETSI (2011)(pdf)
2010
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Solving Constrained Total-Variation Image Restoration and Reconstruction Problems via Alternating Direction Methods.SIAM Journal on Scientific Computing, Vol. 32 (2010)(pdf)
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Minimax current density coil design.Journal of Physics D: Applied Physics, Vol. 43 (2010)(pdf)
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Régularité et parcimonie pour les problèmes inverses en imagerie : algorithmes et comparaisons.Traitement du Signal, Vol. 27, No. 2 (2010)(pdf)
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Temperature Characteristics of Gradient Coils with Minimax Current Density.Proceedings of the International Society for Magnetic Resonance in Medicine, 18, 564, (2010)(pdf)
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Minimax Current Density Coil Design.Proceedings of the International Society for Magnetic Resonance in Medicine, 18, 564, (2010)(pdf)
2009
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Efficient schemes for total variation minimization under constraints in image processing.SIAM Journal on Scientific Computing, Vol. 31, No. 3, pp. 2047–2080 (2009)(pdf)
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Algorithme rapide pour la restauration d'image régularisée sur les coefficients d'ondelettes.Proc. GRETSI Symposium on Signal and Image Processing, Dijon, France, septembre (2009)(pdf)
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A proximal method for inverse problems in image processing.Proc. EUSIPCO, Glasgow, Scotland, août (2009)(pdf)
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Complex wavelet regularization for solving inverse problems in remote sensing.Proc. IGARSS, Cape Town, South Africa, juillet (2009)(pdf)
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Smoothing techniques for convex problems. Applications in image processing.Proc. SAMPTA, Marseille, France, mai (2009)(pdf)
2008 and before
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A contrast equalization procedure for change detection algorithms: applications to remotely sensed images of urban areas.International Conference on Pattern Recognition (ICPR), Tampa, USA, décembre (2008)(pdf)
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Compression artifacts reduction using variational methods: algorithms and experimental study.IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, USA, mars (2008)(pdf)
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Sur la complexité et la rapidité d’algorithmes pour la minimisation de la variation totale sous contraintes.Proc. GRETSI Symposium on Signal and Image Processing, septembre (2007)(pdf)
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Reconstruction d'images satellitaires à partir d'un échantillonnage irrégulier.Rapport de Recherche 6732, INRIA (2008)(pdf)
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Some applications of L-infinite norms in image processing.Rapport de Recherche 6115, INRIA, septembre (2006)(pdf)
PhD thesis
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Algorithmes rapides d'optimisation convexe. Application à la reconstruction d'images et à la détection de changements.
P. Weiss. Thèse de Doctorat, Université de Nice Sophia Antipolis (2008). (pdf)
Talks/Seminars/Invitations
I try to travel with a lot of caution to reduce my carbon footprint.- IABM, ENS Lyon, Mars 2026 (plenary)
- AI in the West, Rennes, January 2026 (plenary)
- Mifobio, Seignosse, Atelier DeepBlur, October 2025
- Mifobio, Seignosse, Atelier Svetlana & Skecthpose, October 2025
- Microblind closing workshop, CIRM, September 2025
- Journées COCO, IHP, Septembre 2025
- GRETSI, Strasbourg, Août 2025
- Maths4DL, Bath, England, June 2025
- Workshop défi clé Cebboc, Verdun en Lauraguais, Octobre 2024
- IPMS, Malta, May 2024 (plenary)
- Journées Margaux, Pau, France, June 2024
- IRIT SI seminar, Toulouse, June 2024
- Torus AI seminars, Toulouse, March 2024
- DeepBioHealth, zoom (national), Februrary 2024
- Atelier Mifobio (EigenPSF extractor), Hyères, Novembre 2023
- Atelier Mifobio (Sketchpose & Svetlana), Hyères, Novembre 2023
- Workshop MIA sparsity, Bordeaux, March 2023
- MIA, Berlin, Germany, February 2023 (plenary)
- Articial Intelligence day, CBI, 2022 (invited)
- One World MINDS seminar, 2022 (invited) (talk)
- ICCHA, Ingolstadt (by train), Germany, September 2022 (invited)
- IPMS, Malta (zoom), December 2022 (invited)
- SIAM Imaging Science (zoom), March 2022
- Quantization, location, sampling and matching, Lagrange Center, March 2022, Paris (invited)
- Journées optique non conventionnelle, March 2022, Paris
- Workshop Optimization, inverse problems, Microscopy, Firenze (zoom), Italy, November 2021 (invited)
- Startup meeting ANR MicroBLIND, CIRM, France, December 2021 (organizer)
- Atelier Mifobio (with E. Soubies, D. Sage) -- Eigen-PSF extractor, Giens, France, November 2021
- Ecole doctorale Peyresq - co-conception 2021, Zoom, France, Juin 2021 (invited 5h)
- Séminaire Français d'optimisation, Zoom, France, December 2020 (invited)
- Euspico 2020, Amsterdam, Netherlands, August 2020 (invited)
- SIGMA 2020, CIRM, Marseille, France, Avril 2020 (plenary)
- Journées de la SEME, Montpellier, France, Novembre 2019 (invited)
- ICIAM 2019 (in memory of Mila Nikolova), Valencia, Spain, July 2019 (invited)
- OSA topical meetings Maths & Imaging, Munchen, Germany, June 2019.
- Séminaire MOKAPLAN, INRIA, Paris, January 2019 (invited).
- Journées Transparisation, Microscopie Fluorescence Multidimensionnelle, Montpellier, June 2019 (invited).
- Journées Genotoul, Toulouse, May 2019 (invited).
- iTWIST 2018, November, 2018
- Journées avancées de la recherche biomédicale, Toulouse, December 2018 (invited).
- Conference ITWiST, Marseille, December 2019.
- OSA topical meetings Maths & Imaging, Orlando, USA, June 2018.
- Changsha Conference on mathematics and image processing, Changsha, China, April 2018 (invited).
- IPIP Conference, Beijing, China, April 2018 (invited).
- ITAV, Toulouse, Februrary 2018.
- SMAI-SIGMA meeting, Paris 6, November 15, 2017 (invited).
- Generative models, parameter learning and sparsity, Cambridge, UK, November 2017 (invited).
- Journées MIA & MOA, Bordeaux, October 2017 (invited).
- Variational Methods, New Optimization Techniques, Cambridge, UK, September 2017 (invited).
- Imaging & Applied Optics Congress, San Francisco, USA, June 2017 (committee).
- SPARS, Lisbon, Portugal, June 2017.
- Imaging & Applied Optics Congress, Heidelberg, Germany, July 2016 (invited).
- Colloquium, Technische Universität Berlin, June 2016 (invited).
- Seminar University of Louvain, March 2016 (invited).
- Visit at DTU, Denmark, February, 2016 (invited).
- Conference MIA, Paris, January 2016 (invited).
- Seminar at Cambridge (Applied and Computational Analysis), November 2015 (invited).
- Workshop GDR 2588, Paris, Institut Pasteur, November 2015.
- Conference GRETSI, Lyon, September 2015.
- Séminaire Image, MAP5, Paris, April 2015 (invited).
- Groupe de Travail Maths-Bio, IMT, Toulouse, February 2015 (invited).
- Winter school on computational harmonic analysis, October 2014, Marseille (invited).
- Conference ITWIST 2014, August 2014, Belgium (plenary).
- Cafés de l'IMT, Toulouse, June 2014 (invited).
- Questions ouvertes à..., Toulouse, June 2014 (invited).
- Conference SIAM imaging science, May 2014, Hong Kong (invited).
- Workshop on splitting techniques, May 2014, Hong Kong (invited).
- Séminaire SPOT, ENSEEIHT, décembre 2013 (invited).
- Journées MIP, IMT, décembre 2013 (invited).
- Séminaire au laboratoire I3S, Sophia-Antipolis, Juin 2013 (invited).
- Séminaire au XLim, Limoges, Mars 2013 (invited).
- Conference ICPRAM in Barcelona, February 2013.
- Séminaire ITAV, Toulouse, Février 2013 (invited).
- GIS Genotoul, Toulouse, Novembre 2012 (invited).
- Journées bordelaises d'analyse mathématique des images, Bordeaux, Novembre 2012 (invited).
- Séminaire à l'institut de mathématiques d'Avignon, Avignon, Novembre 2012 (invited).
- Animation d'une table ronde, 6th Imaging The Cell, Toulouse, Juin 2012.
- Workshop I-Twist, Marseille, France, May 2012.
- Séminaire Image, Université de Toulouse, Avril 2012 (invited).
- Conference ICPRAM, Vilamoura, Portugal, Februray 2012.
- Third Light Sheet Microscopy Workshop, Toulouse, October 2011.
- Conference AFG, Toulouse, September 2011.
- Seminar at NUS, National University of Singapore, May 2011 (invited).
- Spring school on image and mathematics, Martel, April 2011 (invited).
- Séminaire Image, Université Paris 6, février 2011 (invited).
- Séminaire Applications des Mathématiques, ENS Cachan Ker Lann, février 2011 (invited).
- Workshop MIBS - Les dessous de l'image, Toulouse, Novembre 2010 (invited).
- Séminaire au LATP, à l'université de Marseille, mars 2010 (invited).
- Colloque Méthodes Mathématiques Image, Orléans, avril 2010 (invited).
- Séminaire à l'université de Marne la vallée, février 2010 (invited).
- Séminaire MIP 2009, Toulouse, France (invited).
- Conference EUSIPCO 2009, Glasgow, Scotland.
- Seminar at Chinese University, Hong Kong, 2009 (invited).
- Conference SAMPTA 2009, Marseille, France.
- Workshop MCI 2009, Hong Kong Baptist University, Hong Kong (invited).
- Conference ICASSP 2008, Las Vegas, USA.
- Conference Canum 2007, Praz-sur-Arly, France.
- Conference Code 2007, Institut Henri Poincaré, Paris, France.
- Conference SIAM conference on Imaging Science 2007, Minneapolis, USA.
- Conference MIA (Mathematics and Image Analysis) 2007 - Paris, France.
- Conference Gretsi 2007, Université de Troyes, France.