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ORCIDJean-François Giovannelli
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Journal Articles
- 2024
[j28]Charlesquin Kemajou Mbakam
, Marcelo Pereyra, Jean-François Giovannelli:
Marginal Likelihood Estimation in Semiblind Image Deconvolution: A Stochastic Approximation Approach. SIAM J. Imaging Sci. 17(2): 1206-1254 (2024)- 2023
- [j27]Pakshal Bohra, Pol del Aguila Pla, Jean-François Giovannelli, Michael Unser:
A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods. IEEE Trans. Signal Process. 71: 2043-2055 (2023) - 2020
- [j26]Boujemaa Ait-El-Fquih, Jean-François Giovannelli, Nicolas Paul, Alexandre Girard, Ibrahim Hoteit:
Parametric Bayesian estimation of point-like pollution sources of groundwater layers. Signal Process. 168 (2020) - [j25]Julien Boissy, Jean-François Giovannelli, Pierre Minvielle:
An Insight Into the Gibbs Sampler: Keep the Samples or Drop Them? IEEE Signal Process. Lett. 27: 2069-2073 (2020) - [j24]Thomas Benoudiba-Campanini, Jean-François Giovannelli, Pierre Minvielle:
SPRITE: 3-D SParse Radar Imaging TEchnique. IEEE Trans. Computational Imaging 6: 1059-1069 (2020) - 2019
- [j23]Cornelia Paula Vacar, Jean-François Giovannelli:
Unsupervised joint deconvolution and segmentation method for textured images: a Bayesian approach and an advanced sampling algorithm. EURASIP J. Adv. Signal Process. 2019: 17 (2019) - 2018
- [j22]Amna Klich, Catherine Mercier, Laurent Gerfault, Pierre Grangeat, Corinne Beaulieu, Elodie Degout-Charmette, Tanguy Fortin, Pierre Mahé, Jean-François Giovannelli, Jean-Philippe Charrier, Audrey Giremus, Delphine Maucort-Boulch, Pascal Roy:
Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry. BMC Bioinform. 19(1): 73:1-73:12 (2018) - [j21]Vincent Picaud, Jean-François Giovannelli, Caroline Truntzer, Jean-Philippe Charrier, Audrey Giremus, Pierre Grangeat, Catherine Mercier:
Linear MALDI-ToF simultaneous spectrum deconvolution and baseline removal. BMC Bioinform. 19(1): 123:1-123:20 (2018) - 2017
- [j20]Noura Dridi, Audrey Giremus, Jean-François Giovannelli, Caroline Truntzer, Melita Hadzagic, Jean-Philippe Charrier, Laurent Gerfault, Patrick Ducoroy, Bruno Lacroix, Pierre Grangeat, Pascal Roy:
Bayesian inference for biomarker discovery in proteomics: an analytic solution. EURASIP J. Bioinform. Syst. Biol. 2017: 9 (2017) - [j19]Pierre Minvielle, Pierre Massaloux, Jean-François Giovannelli:
Indoor 3-D Radar Imaging for Low-RCS Analysis. IEEE Trans. Aerosp. Electron. Syst. 53(2): 995-1008 (2017) - 2016
- [j18]Olivier Féron, François Orieux, Jean-François Giovannelli:
Gradient Scan Gibbs Sampler: An Efficient Algorithm for High-Dimensional Gaussian Distributions. IEEE J. Sel. Top. Signal Process. 10(2): 343-352 (2016) - [j17]Cornelia Paula Vacar, Jean-François Giovannelli, Yannick Berthoumieu:
Bayesian Texture Classification From Indirect Observations Using Fast Sampling. IEEE Trans. Signal Process. 64(1): 146-159 (2016) - 2014
- [j16]Pascal Szacherski, Jean-François Giovannelli, Laurent Gerfault, Pierre Mahé, Jean-Philippe Charrier, Audrey Giremus, Bruno Lacroix, Pierre Grangeat:
Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem. IEEE Access 2: 1248-1262 (2014) - [j15]Aurélien Hazart, Jean-François Giovannelli, Stéphanie Dubost, Laurence Chatellier:
Inverse transport problem of estimating point-like source using a Bayesian parametric method with MCMC. Signal Process. 96: 346-361 (2014) - [j14]Aurélien Hazart, Jean-François Giovannelli, Stéphanie Dubost, Laurence Chatellier:
Erratum to "Inverse transport problem of estimating point-like source using a Bayesian parametric method with MCMC" [Signal Processing 96 (2014) 346-361]. Signal Process. 100: 208 (2014) - [j13]Cornelia Paula Vacar, Jean-François Giovannelli, Yannick Berthoumieu:
Bayesian Texture and Instrument Parameter Estimation From Blurred and Noisy Images Using MCMC. IEEE Signal Process. Lett. 21(6): 707-711 (2014) - 2012
- [j12]François Orieux, Olivier Féron, Jean-François Giovannelli:
Sampling High-Dimensional Gaussian Distributions for General Linear Inverse Problems. IEEE Signal Process. Lett. 19(5): 251-254 (2012) - 2010
- [j11]Éric Thiébaut, Jean-François Giovannelli:
Image reconstruction in optical interferometry. IEEE Signal Process. Mag. 27(1): 97-109 (2010) - 2008
- [j10]Thomas Rodet, François Orieux, Jean-François Giovannelli, Alain Abergel:
Data Inversion for Over-Resolved Spectral Imaging in Astronomy. IEEE J. Sel. Top. Signal Process. 2(5): 802-811 (2008) - [j9]Thomas Rodet, François Orieux, Jean-François Giovannelli, Alain Abergel:
Correction to "Data Inversion for Over-Resolved Spectral Imaging in Astronomy" [Oct 08 802-811]. IEEE J. Sel. Top. Signal Process. 2(6): 1008-1009 (2008) - [j8]Jean-François Giovannelli:
Unsupervised Bayesian Convex Deconvolution Based on a Field With an Explicit Partition Function. IEEE Trans. Image Process. 17(1): 16-26 (2008) - 2006
- [j7]Redha Boubertakh, Jean-François Giovannelli, Alain De Cesare, Alain Herment:
Non-quadratic convex regularized reconstruction of MR images from spiral acquisitions. Signal Process. 86(9): 2479-2494 (2006) - [j6]Gilles Rochefort, Frédéric Champagnat, Guy Le Besnerais, Jean-François Giovannelli:
An Improved Observation Model for Super-Resolution Under Affine Motion. IEEE Trans. Image Process. 15(11): 3325-3337 (2006) - 2002
- [j5]Jean-François Giovannelli, Jérôme Idier, Redha Boubertakh, Alain Herment:
Unsupervised frequency tracking beyond the Nyquist frequency using Markov chains. IEEE Trans. Signal Process. 50(12): 2905-2914 (2002) - 2001
- [j4]Jean-François Giovannelli, Jérôme Idier, Daniel Muller, Guy Desodt:
Regularized adaptive long autoregressive spectral analysis. IEEE Trans. Geosci. Remote. Sens. 39(10): 2194-2202 (2001) - [j3]Jean-François Giovannelli, Jérôme Idier:
Bayesian interpretation of periodograms. IEEE Trans. Signal Process. 49(7): 1388-1396 (2001) - [j2]Philippe Ciuciu, Jérôme Idier, Jean-François Giovannelli:
Regularized estimation of mixed spectra using a circular Gibbs-Markov model. IEEE Trans. Signal Process. 49(10): 2202-2213 (2001) - 1998
- [j1]Jérôme Idier, Jean-François Giovannelli:
Structural stability of least squares prediction methods. IEEE Trans. Signal Process. 46(11): 3109-3111 (1998)
Conference and Workshop Papers
- 2021
- [c25]Ana Fernandez Vidal, Marcelo Pereyra, Alain Durmus, Jean-François Giovannelli:
Fast Bayesian Model Selection in Imaging Inverse Problems Using Residuals. SSP 2021: 91-95 - [c24]Benjamin Harroué, Jean-François Giovannelli, Marcelo Pereyra:
Bayesian Model Selection for Unsupervised Image Deconvolution with Structured Gaussian Priors. SSP 2021: 241-245 - 2018
- [c23]Boujemaa Ait-El-Fquih, Jean-François Giovannelli, Nicolas Paul, Alexandre Girard, Ibrahim Hoteit:
A Variational Bayesian Estimation Scheme For Parametric Point-Like Pollution Source of Groundwater Layers. SSP 2018: 433-437 - 2017
- [c22]Jean-François Giovannelli, Cornelia Paula Vacar:
Deconvolution-segmentation for textured images. EUSIPCO 2017: 191-195 - [c21]Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, Jean-François Giovannelli:
A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images. ICASSP 2017: 1882-1886 - [c20]Andrei-Cristian Barbos, Francois Caron, Jean-François Giovannelli, Arnaud Doucet:
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling. NIPS 2017: 5020-5028 - 2016
- [c19]Jean-François Giovannelli, Andrei Barbos:
Unsupervised segmentation of piecewise constant images from incomplete, distorted and noisy data. SSP 2016: 1-5 - [c18]Jessica Sodjo, Audrey Giremus, François Caron, Jean-François Giovannelli, Nicolas Dobigeon:
Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach. SSP 2016: 1-5 - 2015
- [c17]Roxana-Gabriela Rosu, Jean-François Giovannelli, Audrey Giremus, Cornelia Paula Vacar:
Potts model parameter estimation in Bayesian segmentation of piecewise constant images. ICASSP 2015: 4080-4084 - [c16]François Orieux, Olivier Féron, Jean-François Giovannelli:
Gradient scan Gibbs sampler: An efficient high-dimensional sampler application in inverse problems. ICASSP 2015: 4085-4089 - 2014
- [c15]Noura Dridi, Audrey Giremus, Jean-François Giovannelli, Caroline Truntzer, Pascal Roy, L. Gerfaut, Jean-Philippe Charrier, Patrick Ducoroy, Catherine Mercier, Pierre Grangeat:
Variable selection for noisy data applied in proteomics. ICASSP 2014: 2833-2837 - [c14]Jean-François Giovannelli, Audrey Giremus:
Bayesian noise model selection and system identification based on approximation of the evidence. SSP 2014: 125-128 - 2013
- [c13]F. Adjed, Jean-François Giovannelli, Audrey Giremus, Noura Dridi, Pascal Szacherski:
Variable selection for a mixed population applied in proteomics. ICASSP 2013: 1153-1157 - 2012
- [c12]Pascal Szacherski, Jean-François Giovannelli, Laurent Gerfault, Audrey Giremus, Pierre Grangeat:
Robust MS serum sample classification in proteomics by the use of inverse problems. GENSiPS 2012: 191-194 - 2011
- [c11]Cornelia Paula Vacar, Jean-François Giovannelli, Yannick Berthoumieu:
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance. ICASSP 2011: 3964-3967 - [c10]Jean-François Giovannelli:
Ising field parameter estimation from incomplete and noisy data. ICIP 2011: 1853-1856 - 2010
- [c9]François Orieux, Jean-François Giovannelli, Thomas Rodet:
Deconvolutionwith gaussian blur parameter and hyperparameters estimation. ICASSP 2010: 1350-1353 - [c8]François Orieux, Thomas Rodet, Jean-François Giovannelli:
Instrument parameter estimation in bayesian convex deconvolution. ICIP 2010: 1161-1164 - [c7]Jean-François Giovannelli:
Estimation of the Ising field parameter thanks to the exact partition function. ICIP 2010: 1441-1444 - 2009
- [c6]François Orieux, Thomas Rodet, Jean-François Giovannelli:
Super-resolution with continuous scan shift. ICIP 2009: 1169-1172 - [c5]Thomas Rodet, François Orieux, Jean-François Giovannelli, Alain Abergel:
Data inversion for hyperspectral objects in astronomy. WHISPERS 2009: 1-4 - 2007
- [c4]Aurélien Hazart, Jean-François Giovannelli, Stéphanie Dubost, Laurence Chatellier:
Contaminant source estimation in a two-layers porous environment using a Bayesian approach. IGARSS 2007: 4757-4760 - 1999
- [c3]Philippe Ciuciu, Jérôme Idier, Jean-François Giovannelli:
Markovian high resolution spectral analysis. ICASSP 1999: 1601-1604 - 1996
- [c2]Alain Herment, Jean-François Giovannelli, Élie Mousseaux, Jérôme Idier, Alain De Cesare, Odile Jolivet, Jacques Bittoun:
Regularized estimation of flow patterns in MR velocimetry. ICIP (3) 1996: 291-294 - 1993
- [c1]Jean-François Giovannelli, Guy Demoment:
A statistical study of a regularized method for long auto-regressive spectral estimation. ICASSP (4) 1993: 137-140
Informal and Other Publications
- 2024
- [i7]Charlesquin Kemajou Mbakam, Jean-François Giovannelli, Marcelo Pereyra:
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior. CoRR abs/2409.04384 (2024) - 2015
- [i6]Pierre Minvielle, Pierre Massaloux, Jean-François Giovannelli:
Fast 3D Synthetic Aperture Radar Imaging from Polarization-Diverse Measurements. CoRR abs/1506.07459 (2015) - 2012
- [i5]François Orieux, Jean-François Giovannelli, Thomas Rodet, Alain Abergel:
Estimating hyperparameters and instrument parameters in regularized inversion. Illustration for SPIRE/Herschel map making. CoRR abs/1211.3603 (2012) - 2011
- [i4]François Orieux, Jean-François Giovannelli, Thomas Rodet, Alain Abergel, Hacheme Ayasso, M. Husson:
Over-resolution in map-making based on accurate instrument model and regularized inversion. Application to SPIRE/Herschel. CoRR abs/1103.3698 (2011) - [i3]François Orieux, Olivier Féron, Jean-François Giovannelli:
Efficient sampling of high-dimensional Gaussian fields: the non-stationary / non-sparse case. CoRR abs/1105.5887 (2011) - 2010
- [i2]François Orieux, Jean-François Giovannelli, Thomas Rodet:
Bayesian estimation of regularization and PSF parameters for Wiener-Hunt deconvolution. CoRR abs/1004.5538 (2010) - 2009
- [i1]Redha Boubertakh, Jean-François Giovannelli, Alain Herment, Alain De Cesare:
Non-quadratic convex regularized reconstruction of MR images from spiral acquisitions. CoRR abs/0908.3252 (2009)
Coauthor Index
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