Publications

Chapitres d'ouvrages

1. A. Benfenati, E. Chouzenoux, G. Franchini, S. Latva-Äijö, D. Narnhofer, J.-C. Pesquet, S. J. Scott, M. Yousefi. Majoration-Minimization for Sparse SVMs. in Springer INdAM Series - INdAM Workshop Advanced Techniques in Optimization for Machine Learning and Imaging, vol. 61, Springer Nature Singapore, pp.31-54, 2024. [Article]
2. E. Chouzenoux, and J.-C. Pesquet. Optimization Methods for Signal Processing. in Source Separation in Physical-Chemical Sensing, chap. 2, IEEE Press, eds. C.Jutten, L.T. Duarte, S. Moussaoui, John Wiley & Sons, 2023. [Article]

Articles de revues

1. M. Adly, A. Chazottes, E. Chouzenoux, J.C. Pesquet, F. Sureau. Variable Bregman Majorization-Minimization algorithms for nonconvex nonsmooth optimization, with application to Poisson imaging , submitted, 2026. [Article]
2. F. Camellini, E. Chouzenoux, G. Franchini, J.C. Pesquet, F. Porta. A Majorization-Minimization approach for multiclass classification in a big data scenario, submitted, 2026. [Article]
3. S. Martin, E. Chouzenoux and V. Elvira. A novel sequential method for building upper and lower bounds of moments of distributions, submitted, 2026. [Article]
4. Q. Vanderbecq, W.F. Xia, E. Chouzenoux , J.-C. Pesquet, M. Zins, M. Wagner. Radiologist-AI Collaboration for Ischemia Diagnosis in Small Bowel Obstruction: Multicentric Development and External Validation of a Multimodal Deep Learning Model, to appear in Journal of Imaging Informatics in Medicine, 2026. [Article]
5. C. Cosserat, B. Gabrielson, E. Chouzenoux, J.-C. Pesquet, T. Adali. An Effective Iterative Solution for Independent Vector Analysis with Convergence Guarantees. IEEE Transactions on Signal Processing, vol. 73, pp. 4718 - 4733, 2025. [Article]
6. E. Chouzenoux, J.-B. Fest and A. Repetti. A stochastic use of the Kurdyka-Lojasiewicz property: Investigation of optimization algorithms behaviours in a non-convex differentiable framework. Foundations on Data Science, vol. 9, 164-191, 2026. [Article]
7. E. Chouzenoux, C. Della Valle and J.-C. Pesquet. Stability Bounds for the Unfolded Forward-Backward Algorithm. Journal of Mathematical Imaging and Vision, vol. 67, no. 48, 2025. [Article]
8. M. Vu, E. Chouzenoux, J.-C. Pesquet, I. Ben-Ayed. Aggregated f-average Neural Network applied to Few-Shot Class Incremental Learning, to appear in Signal Processing. [Article]
9. T. Guilmeau, E. Chouzenoux and V. Elvira. Regularized Rényi divergence minimization through Bregman proximal gradient algorithms, Journal of Machine Learning Research, vol. 26, no. 157, pp. 1−56, 2025. [Article]
10. B. Cox, E. Chouzenoux, V. Elvira. GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models, IEEE Transactions on Signal Processing, vol. 73, pp. 1562-1576, 2025. [Article]
11. V. Elvira, E. Chouzenoux, O.D. Akyildiz A Proximal Newton Adaptive Importance Sampler, IEEE Signal Processing Letters, vol. 32, pp. 1545-1549, 2025. [Article]
12. T. Guilmeau, E. Chouzenoux, and V. Elvira. A divergence-based condition to ensure quantile improvement in black-box global optimization, IEEE Transactions on Evolutionary Computation, vol. 29, no. 4, pp. 1017 - 1028, 2024. [Article]
13. S. Ammari, A. Quillent, V. Elvira, F. Bidault, G. Garcia, D. Hartl, C. Balleyguier, N. Lassau, E. Chouzenoux. Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study, Journal of Imaging Informatics in Medicine, vol. 38, no. 3, pp. 1496-1508, 2025. [Article]
14. G. Vidon, G. Scrivanti, E. Soret, N. Harada, E. Chouzenoux, J.C. Pesquet, J.F. Guillemoles, S. Cacovich. Rapid and Noise Resilient Mapping of Photogenerated Carrier Lifetime in Halide Perovskite Thin Films, Advanced Functional Materials, vol. 24, no. 37, pp. 2402343, 2024. [Article]
15. E. Chouzenoux and V. Elvira. Sparse Graphical Linear Dynamical Systems, Journal of Machine Learning Research, vol. 25, no. 223, pp. 1-53, 2024. [Article] [Code]
16. F. Roldan, E. Chouzenoux, and J.-C. Pesquet. Solution of Mismatched Monotone+Lipschitz Inclusion Problems. SIAM Journal on Optimization, vol. 34, no. 4, pp. 3564-3591, 2024. [Article]
17. J. Ajdenbaum, E. Chouzenoux, C. Lefort, S. Martin, J.-C. Pesquet. A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution. Inverse Problems, vol. 40, no. 6, pp. 065003, 2024. [Article]
18. P. Gupta, A. Goel, A. Majumdar, E. Chouzenoux, G. Chierchia. DeConFCluster: Deep Convolutional Transform Learning based Multiview Clustering Fusion Framework. Signal Processing, pp. 109597, 2024. [Article]
19. E. Chouzenoux, M.-C. Corbineau, J.-C. Pesquet, and G. Scrivanti. A variational approach for joint image recovery and feature extraction based on spatially varying generalised Gaussian models. Journal of Mathematical Imaging and Vision, vol. 66, pp. 550-571, 2024. [Article]
20. T. Guilmeau, E. Chouzenoux, and V. Elvira. On variational inference and maximum likelihood estimation with the λ-exponential family. Foundations of Data Science, vol. 6, no. 1, pp. 85-123, 2024. [Article]
21. Q. Vanderbecq, M. Gélard, J.-C. Pesquet, M. Wagner, L. Arrive, M. Zins and E. Chouzenoux. Deep Learning for Automatic Bowel-Obstruction Identification on Abdominal CT. European Radiology, vol. 34, pp. 5842-5853, 2024. [Article]
22. M. Gharbi, E. Chouzenoux, and J.-C. Pesquet. An Unrolled Half-Quadratic Approach for Sparse Signal Recovery in Spectroscopy. Signal Processing, vol. 218, pp. 109369, May 2024. [Article]
23. J.-B. Fest and E. Chouzenoux. Convergence Analysis of Block Majorize-Minimize Subspace Approaches. Optimization Letters, vol. 18, pp. 1111–1130, 2024. [Article]
24. E. Chouzenoux, A. Contreras, J.-C. Pesquet, M. Savanier. Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch. SIAM Journal on Imaging Sciences, vol. 16, no. 1, pp. 1-34, 2023. [Article]
25. Y. Huang, E. Chouzenoux, V. Elvira and J.-C. Pesquet. Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. Journal of Franklin Institute, vol. 360, no. 16, pp. 12125-12149, Nov. 2023. [Article][Code]
26. V. Elvira, E. Chouzenoux, O. D. Akyildiz and L. Martino. Gradient-based Adaptive Importance Samplers. Journal of Franklin Institute, vol. 360, no. 13, pp. 9490-9514, Sep. 2023. [Article]
27. M. Savanier, E. Chouzenoux, J.-C. Pesquet, C. Riddell. Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density. IEEE Transactions on Computational Imaging, vol. 9, pp. 502-516, 2023. [Article]
28. C. Delmon, E. Ferrandon, E. Chouzenoux, A. Prorot, S. Alain, C. Lefort. A computational two-photon fluorescence approach for revealing label-free the 3D image of viruses and bacteria . Journal of Biophotonics, vol. 16, no. 5, May 2023. [Article]
29. P. Gupta, A. Majumdar, E. Chouzenoux, G. Chierchia. DeConDFFuse : Predicting drug–drug interaction using joint deep convolutional transform learning and decision forest fusion framework . Expert Systems with Applications, vol. 227, 2023. [Article] [Code]
30. S. Jain, E. Chouzenoux, K. Kumar, A. Majumdar. Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction . IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 5, pp. 2565-2574, 2023. [Article] [Code]
31. M. Chalvidal, E. Chouzenoux, J.B. Fest and C. Lefort. Block Delayed Majorize-Minimize Subspace Algorithm for Large Scale Image Restoration. Inverse Problems, vol. 39, no. 4, pp. 044002, Special Issue on Optimisation and Learning Methods for Inverse Problems in Microscopy, 2023. [Article]
32. P. Zheng, E. Chouzenoux and L. Duval. PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes. IEEE Signal Processing Letters, vol. 30, pp. 215-219, 2023. [Article] [Code]
33. E. Chouzenoux, S. Martin and J.-C. Pesquet. A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery. Journal of Mathematical Imaging and Vision, vol. 65, pp. 253-276, 2023. [Article]
34. Y. Huang, E. Chouzenoux, and J.-C. Pesquet. Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. IEEE Transactions on Image Processing, vol. 32, pp. 430-445, Dec. 2022. [Article] [Code]
35. W. Tang, E. Chouzenoux, J.-C. Pesquet and H. Krim Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Network. Neurocomputing, vol. 509, pp. 244-256, Oct. 2022. [Article]
36. V. Elvira and E. Chouzenoux. Graphical Inference in Linear-Gaussian State-Space Models. IEEE Transactions on Signal Processing, vol. 70, pp. 4757-4771, Sep. 2022. [Article] [Code]
37. E. Chouzenoux and J.-B. Fest. SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm. Journal of Optimization Theory and Applications, vol. 195, pp. 919-952, 2022. [Article]
38. V. Elvira and E. Chouzenoux. Optimized Population Monte Carlo. IEEE Transactions on Signal Processing, vol. 70, pp. 2489-2501, 2022. [Article]
39. F. Abboud, E. Chouzenoux, J.-C. Pesquet and H. Talbot. Distributed Algorithms for Proximity Operator Computation with Applications to Video Processing. Digital Signal Processing, vol. 128, pp. 103610, Aug. 2022. [Article] [Code]
40. M. Savanier, E. Chouzenoux, J.-C. Pesquet and C. Riddel. Unmatched Preconditioning of the Proximal Gradient Algorithm. IEEE Signal Processing Letters, vol. 29, pp. 1122-1126, 2022. [Article]
41. A. Mongia, S. Jain, E. Chouzenoux, A. Majumdar. DeepVir, Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning. Application to COVID19. Journal of Computational Biology,vol. 29, no. 5, pp. 441-452, 2022. [Article]
42. A. Bône, S. Ammari, Y. Menu, C. Balleyguier, E. Moulton, E. Chouzenoux, A. Volk, G. C.T.E. Garcia, F. Nicolas, P. Robert, M.-M. Rohé, N. Lassau. From dose reduction to contrast maximization: can deep learning amplify the impact of contrast media on brain MR image quality? A reader study. Investigative Radiology, vol. 57, no. 8, pp. 527-535, 2022. [Article]
43. Y. Li, S. Ammari, L. Lawrance, A. Quillent, T. Assi, N. Lassau and E. Chouzenoux. Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q Codeletion. Cancers, vol. 14, no. 7, pages 1778, 2022.
44. M. Sghaier, E. Chouzenoux, J.C. Pesquet and S. Muller. A Novel Task-Based Reconstruction Approach for Digital Breast Tomosynthesis. Medical Image Analysis, vol. 77, pages 102341, 2022. [Article]
45. S. Ammari, A. Bône, C. Balleyguier, E. Moulton, E. Chouzenoux, A. Volk, Y. Menu, F. Bidault, F. Nicolas, P. Robert, M.-M. Rohé, N. Lassau. Can deep learning replace gadolinium in neuro-oncology?. Investigative Radiology, 57, pp.99 - 107, 2021. [Article]
46. D. Talwar, A. Mongia, E. Chouzenoux, A. Majumdar. Binary Matrix Completion on Graphs: Application to Collaborative Filtering. Digital Signal Processing, vol. 122, pages 103350, Apr. 2022. [Article]
47. S. Singh, E. Chouzenoux, A. Majumdar, G. Chierchia. Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. IEEE Transactions on Knowledge Discovery from Data, vol. 16, no. 5, Article 91, Mar. 2022. [Article]
48. A. Mongia, E. Chouzenoux and A. Majumdar. Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 19, no. 6, pp. 3332-3339, Special Issue on Deep Learning and Graph Embeddings for Network Biology, 2022. [Article]
49. M. Savanier, C. Riddell, Y. Trousset, E. Chouzenoux and J.-C. Pesquet. Magnification-driven B-spline interpolation for cone-beam projection and backprojection. Medical Physics, vol. 48, no. 10, Oct. 2021. [Article]
50. S. Ammari, R. Sallé de Chou, T. Assi, M. Touat, E. Chouzenoux, et al.. Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab. Diagnostics, vol. 11, no. 7, Jul. 2021. [Article]
51. Y. Li, S Ammari, C. Balleyguier, N. Lassau and E. Chouzenoux. Impact of Preprocessing and Harmonization Methods on the Removal of Scanner Effects in Brain MRI Radiomic Features. Cancers, vol. 13, no. 12, pages 3000, Jun. 2021. [Article]
52. C. Lefort, M. Chalvidal, A. Parenté, V. Blanquet, H. Massias, L. Magnol, and E. Chouzenoux. FAMOUS: a fast instrumental and computational pipeline for multiphoton microscopy applied to 3D imaging of muscle ultrastructure . Journal of Physics D: Applied Physics, vol. 54, no. 27, pp. 274005, 2021. [Article]
53. Y. Huang, E. Chouzenoux and V. Elvira. Probabilistic modeling and inference for sequential space-varying blur identification. IEEE Transactions on Computational Imaging, vol. 7, pp. 531-546, May 2021. [Article]
54. A. Mongia, S.K. Saha, E. Chouzenoux and A. Majumdar. A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials. Nature Scientific Reports, vol. 11, pp. 9047, 2021. [Article][Web server]
55. S. Sharma, V. Elvira, E. Chouzenoux and A. Majumdar. Recurrent Dictionary Learning for State-Space Models with an Application in Stock Forecasting. Neurocomputing, vol. 450, pp. 1-13, Aug. 2021. [Article]
56. T. Hortholary, C. Carrion, E. Chouzenoux, J.C. Pesquet, C. Lefort. Multiplex multiphoton microscopy and computational strategy for biomedical imaging. Microscopy Research and Technique, vol. 84, no. 7, pp. 1553-1562, July 2021. [Article]
57. L. El Gueddari, C. G R, E. Chouzenoux and P. Ciuciu. Calibration-less multi-coil compressed sensing Magnetic Resonance Image reconstruction based on OSCAR regularization. To appear in MDPI Journal of Imaging, Special Issue on Inverse Problems and Imaging, 2021. [Article]
58. E. Chouzenoux, J.-C. Pesquet, C. Riddell, M. Savanier and Y. Trousset. Convergence of Proximal Gradient Algorithm in the Presence of Adjoint Mismatch. To appear in Inverse Problems, 2020. [Article]
59. T. Routtenberg, A. Carini, E. Chouzenoux, P. Pal, J. C. M. Bermudez, and L. Marcenaro. Fight the Pandemic: Highlights from the 2020 IEEE Five-Minute Video Clip Contest. IEEE Signal Processing Magazine, vol. 38, no. 2, pages 138-143, Feb. 2021. [Article]
60. N. Lassau, S. Ammari, E. Chouzenoux et al. Integration of clinical characteristics, lab tests and a deep learning CT scan analysis to predict severity of hospitalized COVID-19 patients. Nature Communications, vol. 12, no. 634, 2021. [Article] [ Code]
61. J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia. Transformed Subspace Clustering. IEEE Transactions on Knowledge and Data Engineering, Vol. 33, No. 4, pages 1796 - 1801, Apr. 2021. [Article]
62. S. Ammari, S. Pitre-Champagnat, L. Dercle, E. Chouzenoux, S. Moalla, S. Reuze, H. Talbot, T. Mokoyoko, J. Hadchiti, S. Diffetocq, A. Volk, M. El Haik, S. Lakiss, C. Balleyguier, N. Lassau and F. Bidault. Influence of magnetic field strength on MRI radiomics features. Frontiers in Oncology, section Cancer Imaging and Image-directed Interventions, Vol., 10, pages 541663, Jan. 2021. [Article]
63. P. Gupta, A. Majumdar, E. Chouzenoux and G. Chierchia. SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems. To appear in Expert Systems With Applications, 2020. [Article]
64. A. Cherni, E. Chouzenoux, L. Duval, J.C. Pesquet. SPOQ lp-Over-lq Regularization for Sparse Signal Recovery applied to Mass Spectrometry. IEEE Transactions on Signal Processing, vol. 68, pages 6070-6084, 2020. [Article]
65. S. Sharma, A. Majumdar, V. Elvira and E. Chouzenoux. Blind Kalman Filtering for Short-term Load Forecasting. IEEE Transactions on Power Systems, vol. 35, no. 6, pages 4916-4919, Nov. 2020. [Article]
66. P. Gupta, J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia. DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework. EURASIP Journal on Advances in Signal Processing, no. 26, 2020. [Article]
67. N. Lassau, I. Bousaid, E. Chouzenoux et al. Three artificial intelligence data challenges based on CT and MRI. Diagnostic and Interventional Imaging, vol. 101, no. 12, pages 783-788, Dec. 2020. [Article]
68. Y. Marnissi, E. Chouzenoux, A. Benazza-Benyahia and J.-C. Pesquet. Majorize-Minimize Adapted Metropolis-Hastings Algorithm. IEEE Transactions on Signal Processing, No. 68, pages 2356-2369, Mars 2020. [Article]
69. J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia. Deeply Transformed Subspace Clustering. Signal Processing, No. 174, pages 107628, Sep. 2020. [Article]
70. A. Benfenati, E. Chouzenoux and J.-C. Pesquet. Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation. Signal Processing, No. 169, pages 107417, April 2020. [Article]
71. A. Mongia, N. Jhamb, E. Chouzenoux and A. Majumdar. Deep Latent Factor Model for Collaborative Filtering. Signal Processing, No. 169, pages 107366, 2020. [Article]
72. E. Chouzenoux, M.-C. Corbineau and J.-C. Pesquet. A Proximal Interior Point Algorithm with Applications to Image Processing. Journal of Mathematical Imaging and Vision, vol. 62, no. 6, pp. 919-940, 2020. [Article]
73. C. Bertocchi, E. Chouzenoux, M.-C. Corbineau, J.-C. Pesquet and M. Prato. Deep Unfolding of a Proximal Interior Point Method for Image Restoration. Inverse Problems, vol. 36, pp. 034005, 2020. [Article]
74. M.-C. Corbineau, D. Kouamé, E. Chouzenoux, J.-Y. Tourneret and J.-C. Pesquet. Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. IEEE Signal Processing Letters, No. 26, Vol. 10, pages 1456-1460, 2019. [Article]
75. A. Mekki, L. Dercle, P. Lichtenstein, G. Nasser, A. Marabelle, S. Champiat, E. Chouzenoux, C. Balleyguier and S. Ammari. Machine learning defined diagnostic criteria for differentiating pituitary metastasis from autoimmune hypophysitis in patients undergoing immune checkpoint blockade therapy. European Journal of Cancerology, No. 119, pages 44-56, September 2019. [Article]
76. E. Chouzenoux, H. Gérard and J.-C. Pesquet. General risk measures for robust machine learning. Foundations of Data Science, Vol. 1, No. 3, pages 249-269, September 2019. [Article]
77. O. D. Akyildiz, E. Chouzenoux, V. Elvira and J. Miguez. A probabilistic incremental proximal gradient method. IEEE Signal Processing Letters, Vol. 26, No. 8, pages 1257-1261, July 2019. [Article]
78. E. Chouzenoux, T. T.-K. Lau, C. Lefort and J.-C. Pesquet. Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging. Journal of Mathematical Imaging and Vision, Vol. 61, No. 7, pages 1037-1050, 2019. [Article]
79. L. M. Briceno-Arias, G. Chierchia, E. Chouzenoux and J.-C. Pesquet. A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression. Computational Optimization and Applications, Vol. 72, No. 3, pages 707-726, April 2019. [Article] [Code]
80. F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot and L. Laborelli. An Alternating Proximal Approach for Blind Video Deconvolution. Signal Processing: Image Communication, Vol. 70, pages 21-36, February 2019. [Article]
81. Y. Marnissi, E. Chouzenoux, A. Benazza-Benyahia and J.-C. Pesquet. An Auxiliary Variable Method for MCMC Algorithms in High Dimension. Entropy, Vol. 20, No. 110, 35 pages, 2018. [Article]
82. Y. Marnissi, Y. Zheng, E. Chouzenoux and J.-C. Pesquet. A Variational Bayesian Approach for Image Restoration. Application to Image Deblurring with Poisson-Gaussian Noise. IEEE Transactions on Computational Imaging, Vol. 3, No. 4, pages 722-737, May 2017. [Article]
83. E. Chouzenoux and J.-C. Pesquet. A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation. IEEE Transactions on Signal Processing, Vol. 65, No. 18, pages 4770-4783, 2017. [Article]
84. F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot and L. Laborelli. Dual Block Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences. Journal of Mathematical Imaging and Vision, Vol. 59, No. 3, pages 415-431, Nov. 2017. [Article]
85. A. Cherni, E. Chouzenoux and M.-A. Delsuc. PALMA, an Improved Algorithm for DOSY Signal Processing. Analyst, Vol. 142, No. 5, pages 772-779, 2016. [Code] [Article][Supplementary material]
86. E. Chouzenoux and J.-C. Pesquet. Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm. IEEE Signal Processing Letters, Vol. 23, No. 9, pages 1284-1288, Septembre 2016. [Article]
87. E. Chouzenoux, J.-C. Pesquet and A. Repetti. A Block Coordinate Variable Metric Forward-Backward Algorithm. Journal of Global Optimization, Vol. 66, No. 3, pages 457–485, 2016. [Article]
88. M. Pereyra, P. Schniter, E. Chouzenoux, J.-C. Pesquet, J.-Y. Tourneret, A. Hero and S. McLaughlin A survey of Stochastic Simulation and Optimization Methods in Signal Processing. IEEE Journal of Selected Topics in Signal Processing, Vol. 10, No. 2, pages 224-241, Mars 2016. [Article]
89. E. Chouzenoux, A. Jezierska, J.-C. Pesquet and H. Talbot. A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood. SIAM Journal on Imaging Sciences, Vol. 8, No. 4, pages 2662-2682, 2015. [Article] [Code]
90. A. Repetti, M. Q. Pham, L. Duval, E. Chouzenoux and J.-C. Pesquet. Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed l1/l2 Regularization. IEEE Signal Processing Letters, Vol. 22, No. 5, pages 539-543, Mai 2015. [Article] [Code]
91. E. Chouzenoux, J.-C. Pesquet and A. Repetti. Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. Journal of Optimization Theory and Applications, Vol. 162, No. 1, pages 107-132, Jul. 2014. [Article] [Code]
92. A. Florescu, E. Chouzenoux, J.-C. Pesquet, P. Ciuciu and S. Ciochina. A Majorize-Minimize Memory Gradient Method for Complex-Valued Inverse Problems. Signal Processing, Vol. 103, pages 285-295, 2014. Awarded by the Romanian Executive Agency for Higher Education, Research Development and Innovation. [Article] [Code]
93. E. Chouzenoux, M. Legendre, S. Moussaoui and J. Idier. Fast Constrained Least Squares Spectral Unmixing using Primal-Dual Interior Point Optimization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 1, pages 59-69, janvier 2014. [Article] [Code]
94. E. Chouzenoux, S. Moussaoui, M. Legendre and J. Idier. Algorithme primal-dual de points intérieurs pour l’estimation pénalisée des cartes d’abondances en imagerie hyperspectrale. Traitement du Signal, Vol. 30, No. 1-2, pages 35-59, 2013. [Article]
95. E. Chouzenoux, A. Jezierska, J.-C. Pesquet and H. Talbot. A Majorize-Minimize Subspace Approach for l2-l0 Image Regularization. SIAM Journal on Imaging Science, Vol. 6, No. 1, pages 563-591, 2013. [Article ] [Code]
96. E. Chouzenoux, S. Moussaoui and J. Idier. Majorize-Minimize Linesearch for Inversion Methods Involving Barrier Function Optimization. Inverse Problems, Vol. 28, No. 6, 2012. [Article] [Code]
97. L. Chaari, E. Chouzenoux, N. Pustelnik, C. Chaux and S. Moussaoui. OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille. Traitement du Signal, Vol. 28, No. 3-4, pages 329-374, 2011. [Article]
98. E. Chouzenoux, J. Idier and S. Moussaoui. A Majorize-Minimize Strategy for Subspace Optimization Applied to Image Restoration. IEEE Transactions on Image Processing, Vol. 20, No. 18, pages 1517-1528, juin 2011. [Article] [Code]
99. E. Chouzenoux, S. Moussaoui, J. Idier and F. Mariette. Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra. IEEE Transactions on Signal Processing, Vol. 58, No. 12, pages 6040-6051, décembre 2010. [Article]

Articles de conférences invités

1. E. Chouzenoux and V. Elvira.  Graphical inference in non-Markovian linear-Gaussian state-space models, In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), Seoul, South Corea, April 2024. [Article]
2. C. de Valle, E. Centofanti, E. Chouzenoux, J.-C. Pesquet  Stability of Unfolded Forward-Backward to Perturbations in Observed Data, In Proceedings of the 31st European Signal Processing Conference (EUSIPCO 2023), Helsinki, Finland, September 2023. [Article]
3. V. Elvira, E. Chouzenoux, J. Cerda, G. Camps-Valls  Graphs in State-Space Models for Granger Causality in Climate Science, When Causal Inference Meets Statistical Analysis, Paris, France, April 2023. [Article]
4. E. Chouzenoux and V. Elvira.  GRAPHIT: Iterative reweighted l1 algorithm for sparse graph inference in state-space models, In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, 4-10th June 2023. [Article]
5. T. Guilmeau, E. Chouzenoux and V. Elvira.  Simulated annealing: a review and a new scheme, In Proceedings of IEEE Statistical Signal Processing Workshop (SSP 2021), Rio de Janeiro, Brazil (virtual), 11-14th July 2021. [Article]
6. M. Galinier, M. Prato, E. Chouzenoux and J. -C. Pesquet. A hybrid interior point - deep learning approach for Poisson image deblurring, In Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2020), 6 p., Espoo, Finland, 21–24 Sept. 2020.
7. C. Lefort, E. Chouzenoux, L. Magnol, H. Massias and J.-C. Pesquet.  Multi-parametric 3D-point-spread function estimation in deep multiphoton microscopy with an original computational strategy dedicated to the reconstruction of muscle images, In Proceedings of SPIE 11354, Optical Sensing and Detection VI, 113541I, 2020.
8. L. El Gueddari, E. Chouzenoux, A. Vignaud, J.-C. Pesquet, and P. Ciuciu.  Online MR image reconstruction for compressed sensing acquisition in T2* imaging, In Proceedings of SPIE 11138, Wavelets and Sparsity XVIII, 1113819, 9 september 2019.
9. E. Chouzenoux and V. Elvira.  Adaptive Importance Sampling with Scaled Langevin Proposal Adaptation. In Proceedings of the 17th International Conference on Computer Aided Systems Theory (EUROCAST 2019), Las Palmas de Gran Canaria, Spain, 17-22 Feb. 2019.
10. M. Terris and E. Chouzenoux.  Stochastic MM Subspace Algorithms. In Proceedings of the International Biomedical and Astronomical Signal Processing Frontiers workshop (BASP 2019), Villars-sur-Ollon, Switzerland, 3-8 Feb. 2019.
11. Y. Marnissi, E. Chouzenoux, A. Benazza-Benyahia and J.-C. Pesquet.  MM Adapted MH Methods. In Proceedings of the International Biomedical and Astronomical Signal Processing Frontiers workshop (BASP 2019), Villars-sur-Ollon, Switzerland, 3-8 Feb. 2019.
12. J. Maggu, A. Majumdar, and E. Chouzenoux. Transformed Locally Linear Manifold Clustering. In Proceedings of the 26th European Signal Processing Conference (EUSIPCO 2018), Roma, Italy, 3-7 septembre 2018.
13. M.-C. Corbineau, E. Chouzenoux, and J.-C. Pesquet.  Geometry-texture decomposition / reconstruction using a proximal interior point algorithm. In Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2018), Sheffield, UK, 8-11 July 2018. [Article]
14. G. Chierchia, A. Cherni, E. Chouzenoux, J.-C. Pesquet.  Approche de Douglas-Rachford aléatoire par blocs appliquée à la régression logistique parcimonieuse. In Actes du 26e colloque GRETSI (GRETSI 2017), Juan-les-Pins, 5-8 septembre 2017. [Article]
15. A. Benfenati, E. Chouzenoux and J.-C. Pesquet.  A Proximal Approach for Solving Matrix Optimization Problems Involving a Bregman Divergence. In Proceedings of the International Biomedical and Astronomical Signal Processing Frontiers workshop (BASP 2017), Villars-sur-Ollon, Suisse, 29 janvier - 3 février 2017. [Article]
16. S. Cadoni, E. Chouzenoux, J.-C. Pesquet and C. Chaux. A Block Parallel Majorize-Minimize Memory Gradient Algorithm. In Proceedings of the International Biomedical and Astronomical Signal Processing Frontiers workshop (BASP 2017), Villars-sur-Ollon, Suisse, 29 janvier - 3 février 2017. [Article]
17. F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot and L. Laborelli. A Distributed Strategy for Computing Proximity Operators. In Proceedings of 50th Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2015), pages 396-400, Asilomar, Pacific Grove, CA, 8-11 novembre 2015. [Article]
18. A. Repetti, E. Chouzenoux and J.-C. Pesquet. Un petit tutoriel sur les méthodes primales-duales proximales pour l'optimisation convexe. In Actes du 25e colloque GRETSI (GRETSI 2015), Lyon, France, 8-11 septembre 2015. [Article] [Slides]
19. A. Repetti, E. Chouzenoux and J.-C. Pesquet. A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. In Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), pages 235-239, Nice, France, 1-5 septembre 2015. [Article] [Slides].
20. A. Repetti, E. Chouzenoux and J.-C. Pesquet. Proximal Primal-Dual Optimization Methods. In Proceedings of the International Biomedical and Astronomical Signal Processing Frontiers workshop (BASP 2014), page 25, Villars-sur-Ollon, Suisse, 25-30 janvier 2015.
21. M. Legendre, S. Moussaoui, E. Chouzenoux and J. Idier. Primal-Dual Interior-Point Optimization Based on Majorization-Minimization for Edge Preserving Spectral Unmixing. In Proceedings of the 21st IEEE International Conference on Image Processing (ICIP 2014), pages 4161-4165, Paris, France, 27-30 octobre 2014. [Article]
22. E. Chouzenoux, J.-C. Pesquet and A. Florescu. A Stochastic 3MG Algorithm with Application to 2D Filter Identification. In Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014), pages 1587-1591, Lisbonne, Portugal, 1-5 septembre 2014. [Article]
23. E. Chouzenoux, J.-C. Pesquet and A. Florescu. A Multi-Parameter Optimization Approach for Complex Continuous Sparse Modelling. In Proceedings of the 19th International Conference on Digital Signal Processing (DSP 2014), Hong-Kong, Chine, 20-23 août 2014. [Article]
24. A. Florescu, E. Chouzenoux, J.-C. Pesquet, P. Ciuciu and S. Ciochina. Cramer-Rao Bound for a Sparse Complex Model. In Proceedings of the 10th International Conference on Communications (COMM 2014), 4 p., Bucharest, Romania, 29-31 mai 2014. [Article]
25. A. Repetti, E. Chouzenoux and J.-C. Pesquet A Preconditioned Forward-Backward Approach with Application to Large-Scale Nonconvex Spectral Unmixing Problems. In Proceedings of the 39th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pages 1498-1502, Florence, Italie, 4-9 mai 2014. [Article] [Slides]
26. E. Chouzenoux, S. Moussaoui, J. Idier and F. Mariette. Primal-Dual Interior Point Optimization for a Regularized Reconstruction of NMR Relaxation Time Distributions. In Proceedings of the 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), pages 8747-8750, Vancouver, Canada, 26-31 mars 2013. [Article] [Slides]
27. E. Chouzenoux, S. Moussaoui and J. Idier. A Majorize-Minimize Line Search Algorithm for Barrier Function Optimization. In Proceedings of the 17th European Signal Processing Conference (EUSIPCO 2009), pages 1379-1383, Glasgow, UK, 24-28 août 2009. EURASIP Press. [Article] [Slides]

Articles de conférences

1. C. Cosserat, L. Gois, E. Chouzenoux, V. Calhoun, T. Adali.  How important are inter-dataset interactions for large scale analysis of fMRI data: A multi-dimensional comparison, In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI 2026), London, UK, 8-11 April 2026. [Article]
2. G. Blaise, C. Cosserat, E. Chouzenoux, J.-C. Pesquet, T. Adali.  Deep Unrolled Architecture for Fast and Accurate Gaussian Independent Vector Analysis, In Proceedings of IEEE Statistical Signal Processing Workshop (SSP 2025), Edinburgh, UK, 8-11 June 2025. [Article]
3. B. Cox, E. Chouzenoux, V. Elvira.  Learning a sparse polynomial approximation to the transition function of general state-space models, In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025), Hyderabad, India, 6-11 April 2025. [Article]
4. A. Chazottes, E. Chouzenoux, J.C. Pesquet, F. Sureau.  Deep Equilibrium for Hyperparameter Estimation in Dynamic PET Reconstruction, In Proceedings of IEEE Medical Imaging Conference (IEEE MIC 2024) , Tampa, Florida, 1-3 Dec. 2024. [Article]
5. Y. Li, E. Chouzenoux, S. Gou, P. Zeng, S. Ammari, N. Lassau.  ComBat-MLE: A novel perspective on developing and solving ComBat harmonization method, In Proceedings of IEEE International Conference on Medical Artificial Intelligence (IEEE MedAI 2024) , Chongqing, China, 15-17 Nov. 2024. [Article]
6. S. Martin, J. Ajdenbaum, E. Chouzenoux, L. Magnol, V. Blanquet, J.C. Pesquet, C. Lefort.  Estimating the point-spread-function using 1 µm diameter microspheres for image restoration in biomedical multiphoton microscopy, In Proceedings of 2024 MRS Fall Meeting , Boston, MA, 1-6 Dec. 2024. [Article]
7. G. Vidon, G. Scrivanti, E. Soret, N. Harada, E. Chouzenoux, J.C. Pesquet, J.F. Guillemoles, S. Cacovich.  Rapid and Noise-Resilient Mapping of Photogenerated Carrier Lifetime in Halide Perovskite Thin Films, In Proceedings of SPIE Photonics Europe 2024 , Strasbourg, France, 7-11 April 2024. [Article]
8. M. Gharbi, S. Villa, E. Chouzenoux, J.-C. Pesquet, L. Duval  Unrolled deep networks for sparse signal restoration in analytical chemistry, In Proceedings of 34th IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP 2024) , London, UK, 22th-25th Sep. 2024. [Article]
9. M. Vu, E. Chouzenoux, J.-C. Pesquet, S. Boutinon, M. Peloux, P. Pinault.  Deep Learning Method For Accessible Eccentric Photorefraction, In Proceedings of 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, 27th-30th May 2024. [Article]
10. T. Guilmeau, N. Branchini, E. Chouzenoux, V. Elvira.  Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization, In Proceedings of 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain, 2nd-4th May 2024. [Article]
11. P. Zheng, E. Chouzenoux, L. Duval.  Démélange, déconvolution et débruitage conjoints d’un modèle convolutif parcimonieux avec dérive instrumentale, par pénalisation de rapports de normes ou quasi-normes lissées (PENDANTSS), In Proceedings of 29th Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Grenoble, France, 28 Aug.-1 Sep. 2023. [Article]
12. J.-B. Fest, A. Repetti and E. Chouzenoux.  A new non-convex framework to improve asymptotical knowledge on generic stochastic gradient descent, In Proceedings of IEEE International Workshop on Machine Learning and Image Processing (MLSP 2023), Rome, Italy 17-20 September 2023.
13. C. Cosserat, B. Gabrielson, E. Chouzenoux, J.-C. Pesquet, T. Adali.  A proximal approach to IVA-G with convergence guarantees, In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, 4-10th June 2023. [Article]
14. T. Guilmeau, E. Chouzenoux, V. Elvira.  Adaptive simulated annealing through alternating Renyi divergence minimization, In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes, Greece, 4-10th June 2023. [Article]
15. S. Martin, M. Boudiaf, E. Chouzenoux, J.-C. Pesquet, I. Ben Ayed.  Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. In Proceedings of the Neural Information Processing Systems (NEURIPS 2022), New Orleans, USA, 29 November - 1st December 2022. [Article][Code]
16. C. Rossignol, F. Sureau, E. Chouzenoux, C. Comtat, J.-C. Pesquet.  A Bregman Majorization-Minimization Framework for PET Image Reconstruction. In Proceedings of the 29th IEEE International Conference on Image Processing (ICIP 2022), Bordeaux, France, 16-19 October 2022. [Article]
17. A. Goel, A. Majumdar, E. Chouzenoux, G. Chierchia.  Deep Convolutional K-Means Clustering. In Proceedings of the 29th IEEE International Conference on Image Processing (ICIP 2022), Bordeaux, France, 16-19 October 2022. [Article]
18. S. Singh, A. Majumdar, E. Chouzenoux, G. Chierchia.  Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. In Proceedings of the 29th IEEE International Conference on Image Processing (ICIP 2022), Bordeaux, France, 16-19 October 2022. [Article]
19. G. Scrivanti, E. Chouzenoux, J.-C. Pesquet. A CNC approach for Directional Total Variation. In Proceedings of the 30th European Signal Processing Conference (EUSIPCO 2022), Belgrade, Serbia, 29 Aug.-2 Sep. 2022. [Article]
20. C. Lefort, E. Ferrandon, E. Chouzenoux, C. Mc-Laughlin, S. Alain. An instrumental and computational pipeline for visualizing free viral particles. In Proceedings of the SPIE Photonics Europe Conference on Biomedical Spectroscopy, Microscopy, and Imaging Strasbourg, France, April 4-7 2022. [Article]
21. J.-B. Fest and E. Chouzenoux. Stochastic Majorize-Minimize Subspace Algorithm with Application to Binary Classification. In Proceedings of the 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland (virtual), August 23-27 2021. [Article]
22. S. Martin, E. Chouzenoux and J.-C. Pesquet. A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems. In Proceedings of the 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland (virtual), August 23-27 2021. [Article]
23. M. Gharbi, E. Chouzenoux, J.-C. Pesquet and L. Duval. GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration. In Proceedings of the 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland (virtual), August 23-27 2021. [Article]
24. S. Dahiya, S. Sharma, D. Sahnan, V. Goel, E. Chouzenoux, V. Elvira, A. Majumdar, A. Bandhakavi and T. Chakraborty. Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. In Proceedings of the 27th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), Singapore, Indonesia, August 14-18 2021. [Article]
25. W. Tang, E. Chouzenoux, J.-C. Pesquet and H. Krim. Deep transform and metric learning networks. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021) Toronto, Canada, June 06-11 2021. [Article]
26. A. Bône, S. Ammari, J.-P. Lamarque, M. Elhaik, E. Chouzenoux, F. Nicolas, P. Robert, C. Balleyguier, N. Lassau, M.M. Rohé.Contrast-enhanced brain MRI synthesis with deep learning: key input modalities and asymptotic performance. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2021), Virtual Conference, April 13-16 2021. [Article]
27. Y. Li, E. Chouzenoux, B. Charmettant, B. Benatsou, J.P. Lamarque, N. Lassau. Lightweight U-Net for Lesion Segmentation in Ultrasound Images. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2021), Virtual Conference, April 13-16 2021. [Article]
28. V. Vasilescu, A. Neacsu, E. Chouzenoux, J.C. Pesquet, C. Burileanu. A Deep Learning Approach for Improved Segmentation of Lesions Related to COVID-19 Chest CT Scans. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2021), Virtual Conference, April 13-16 2021.
29. J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia. Deep Convolutional Transform Learning. In Proceedings of the 27th International Conference on Neural Information Processing (ICONIP 2020), Virtual Conference, November 18-22 2020.
30. P. Gupta, J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia. ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. In Proceedings of the 28th European Signal Processing Conference (EUSIPCO 2020), January 18-22 2021.
31. M. Savanier, E. Chouzenoux, J.C. Pesquet, C. Riddell and Y. Trousset. Proximal Gradient Algorithm in the Presence of Adjoint Mismatch. In Proceedings of the 28th European Signal Processing Conference (EUSIPCO 2020), January 18-22 2021.
32. M. Chalvidal and E. Chouzenoux.  Block Distributed 3MG Algorithm and its Application to 3D Image Restoration. In Proceedings of the 27th IEEE International Conference on Image Processing (ICIP 2020), Virtual Conference, October 25-28 2020. [Article]
33. E. Chouzenoux and V. Elvira.  GraphEM: EM Algorithm for Blind Kalman Filtering under Graphical Sparsity Constraints. In Proceedings of the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Virtual Conference, May 4-8 2020. [Article]
34. M. Sghaier, E. Chouzenoux, J.C. Pesquet and S. Muller. A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2020), Virtual Conference, April 3-7 2020.
35. Y. Huang, E. Chouzenoux and V. Elvira.  Particle Filtering for Online Space-Varying Blur Identification. In Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2019), pp. 544–548, Le Gosier, Guadeloupe, French West Indies, 15-18 December 2019.
36. M.C. Corbineau, C. Bertocchi, E. Chouzenoux, M. Prato and J.-C. Pesquet .  Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm. In Proceedings of the 26th IEEE International Conference on Image Processing (ICIP 2019), pp. 4664-4668, Taipei, Taiwan, 22-25 September 2019.
37. Y. Marnissi, D. Abboud, E. Chouzenoux, J.-C. Pesquet, M. El-Badaoui and A. Benazza-Benyahia.  A Data Augmentation Approach for Sampling Gaussian Models in High Dimension. In Proceedings of the 27th European Signal Processing Conference (EUSIPCO 2019), A Coruna, Spain, 2-6 September 2019.
38. A. Cherni, E. Chouzenoux, L. Duval, J.-C. Pesquet. Forme lissée de rapports de normes lp/lq (SPOQ) pour la reconstruction des signaux avec pénalisation parcimonieuse. In Actes du 27e colloque GRETSI (GRETSI 2019), Aug. 2019, Lille, France. [Article]
39. A. Cherni, E. Chouzenoux, L. Duval and J.C. Pesquet. A Novel Smoothed Norm Ratio for Sparse Signal Restoration Application to Mass Spectrometry. In Proceedings of the Signal Processing with Adaptive Sparse Structured Representations (SPARS 2019), Toulouse, France, 1-4 July 2019.
40. L. El Gueddari, E. Chouzenoux, J.C. Pesquet, A. Vignaud and P. Ciuciu. OSCAR-based reconstruction for compressed sensing and parallel MR imaging. In Proceedings of the 27th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montreal, Canada, 11-16 May 2019.
41. L. El Gueddari, E. Chouzenoux, J.C. Pesquet, A. Vignaud and P. Ciuciu. Online compressed sensing MR image reconstruction for high resolution T2* imaging. In Proceedings of the 27th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2019), Montreal, Canada, 11-16 May 2019.
42. A. Mongia, V. Jain, E. Chouzenoux and A. Majumdar.  Deep Latent Factor Model for Predicting Drug Target Interactions. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), pp. 1254-1258, Brighton, UK, 12-17 May 2019.
43. V. Elvira and E. Chouzenoux.  Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), pp. 5077-5081, Brighton, UK, 12-17 May 2019.
44. M. Sghaier, E. Chouzenoux, G. Palma, J.-C. Pesquet and S. Muller.  A New Approach for Microcalcification Enhancement in Digital Breast Tomosynthesis Reconstruction. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2019), pp. 1450-1454, Venice, Italy, 8-11 April 2019.
45. L. El Gueddari, P. Ciuciu, E. Chouzenoux, A. Vignaud and J.-C. Pesquet.  Calibrationless OSCAR-based Image Reconstruction in Compressed Sensing Parallel MRI. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2019), pp. 1532-1536, Venice, Italy, 8-11 April 2019.
46. J. Maggu, E. Chouzenoux, G. Chierchia and A. Majumdar. Convolutional Transform learning. In Proceedings of the 25th International Conference on Neural Information Processing (ICONIP 2018), Siem Reap, Cambodia, 13-16 décembre 2018.
47. F. Abboud, E. Chouzenoux, J.-C. Pesquet and H. Talbot. A Multicore Convex Optimization Algorithm with Applications to Video Restoration. In Proceedings of the 25th IEEE International Conference on Image Processing (ICIP 2018), pp. 1173-1177, Athens, Greece, 7-10 octobre 2018.
48. M.-C. Corbineau, E. Chouzenoux and J.-C. Pesquet.  PIPA: A New Proximal Interior Point Algorithm for Large Scale Convex Optimization. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), pp. 1343-1347, Calgary, Canada, 15 - 20 April 2018. [Article]
49. A. Cherni, E. Chouzenoux and M.-A. Delsuc.  Fast Dictionnary-Based Approach for Mass Spectrometry Data Analysis. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), PP. 816-820, Calgary, Canada, 15 - 20 April 2018. [Article]
50. A. Benfenati, E. Chouzenoux and J.-C. Pesquet.  A Nonconvex Variational Approach for Robust Graphical Lasso. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), PP. 3969-3973, Calgary, Canada, 15 - 20 April 2018. [Article]
51. T. K. Lau, E. Chouzenoux, C. Lefort and J.-C. Pesquet.  Optimal Multivariate Gaussian Fitting for PSF Modeling in Two-Photon Microscopy. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington DC, 4 - 7 April 2018. [Article]
52. Q. Wei, E. Chouzenoux, J.-Y. Tourneret and J.-C. Pesquet.  A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior. In Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), Curacao, Dutch Antilles, 10 - 13 December 2017. [Article]
53. V. Dudar, G. Chierchia, E. Chouzenoux, J.-C. Pesquet, V. Semenov. A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training. In Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017), Kos Island, Greece, 28 August - 2 September 2017. [Article]
54. A. Cherni, E. Chouzenoux and M.-A. Delsuc. Proximity Operators for a Class of Hybrid Sparsity+Entropy Priors. Application to DOSY NMR Signal Reconstruction. In Proceedings of the International Symposium on Signal, Image, Video and Communications (ISIVC 2016), Tunis, Tunisie, 21-23 novembre 2016 [Article].
55. S. Cadoni, E. Chouzenoux, J.-C. Pesquet and C. Chaux. A Block Parallel Majorize-Minimize Memory Gradient Algorithm. In Proceedings of the 23rd IEEE International Conference on Image Processing (ICIP 2016), pages 3194-3198, Phoenix, Arizona, 25-28 septembre 2016. [Article]
56. Y. Marnissi, E. Chouzenoux, J.-C. Pesquet and A. Benazza-Benyahia.  An Auxiliary Variable Method for Langevin based MCMC algorithms. In Proceedings of the IEEE Workshop on Statistical Signal Processing (SSP 2016), pages 297-301, Palma de Mallorca, Espagne, 26-29 juin 2016. [Article]
57. F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot and L. Laborelli.  A Dual Block Coordinate Proximal Algorithm with Application to Deconvolution of Interlaced Video Sequences. In Proceedings of the 22nd IEEE International Conference on Image Processing (ICIP 2015), pages 4917-4921, Quebec City, Canada, 27-30 septembre 2015. [Article]
58. Y. Marnissi, E. Chouzenoux, A. Benazza-Benyahia, J.-C. Pesquet and L. Duval.  Reconstruction de signaux parcimonieux à l'aide d'un algorithme rapide d'échantillonnage stochastique. In Actes du 25e colloque GRETSI, Lyon, France, 8-11 septembre 2015. [Article]
59. E. Chouzenoux, L. Lamassé, S. Anthoine, C. Chaux, A. Jaouen, I. Vanzetta and F. Debarbieux.  Approche variationnelle pour la déconvolution rapide de données 3D en microscopie biphotonique. In Actes du 25e colloque GRETSI, Lyon, France, 8-11 septembre 2015. [Article]
60. A. Repetti, E. Chouzenoux and J.-C. Pesquet. A Random Block-Coordinate Primal-Dual Proximal Algorithm with Application to 3D Mesh Denoising. In Proceedings of the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), pages 3561-3565, Brisbane, Australie, 19-24 avril 2015.
61. A. Repetti, E. Chouzenoux and J.-C. Pesquet. A Nonconvex Regularized Approach for Phase Retrieval. In Proceedings of the 21st IEEE International Conference on Image Processing (ICIP 2014), pages 1753-1757, Paris, France, 27-30 octobre 2014. [Article]
62. F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot and L. Laborelli. A Hybrid Alternating Proximal Method for Blind Video Restoration. In Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014), pages 1811-1815, Lisbonne, Portugal, 1-5 septembre 2014. [Article]
63. Y. Marnissi, A. Benazza-Benyahia, E. Chouzenoux and J.-C. Pesquet. Majorize-Minimize Adapted Metropolis Hastings Algorithm. Application to Multichannel Image Recovery. In Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014), pages 1332-1336, Lisbonne, Portugal, 1-5 septembre 2014. [Article]
64. A. Florescu, E. Chouzenoux, J.-C. Pesquet, P. Ciuciu and S. Ciochina.  A Complex-Valued Majorize-Minimize Memory Gradient Method with Application to Parallel MRI. In Proceedings of the 21st European Signal Processing Conference (EUSIPCO 2013), pages 1-5, Marrakech, Maroc, 9-13 septembre 2013. [Article]
65. A. Repetti, E. Chouzenoux and J.-C. Pesquet. Reconstruction d'image en présence de bruit gaussien dépendant par un algorithme Explicite-Implicite à métrique variable. In Actes du 24e colloque GRETSI, Brest, France, 3-6 septembre 2013. [Résumé] [Article]
66. A. Florescu, E. Chouzenoux, J.-C. Pesquet and S. Ciochina. Estimation d'un signal complexe à partir d'un modèle parcimonieux perturbé. In Actes du 24e colloque GRETSI, Brest, France, 3-6 septembre 2013. [Résumé] [Article]
67. E. Chouzenoux, F. Zolyniak, E. Gouillart and H. Talbot. A Majorize-Minimize Memory Gradient Algorithm Applied to X-Ray Tomography. In Proceedings of the 20th IEEE International Conference on Image Processing (ICIP 2013), pages 1011-1015, Melbourne, Australia, 15-18 septembre 2013. [Article]
68. Y. Marnissi, A. Benazza-Benyahia, E. Chouzenoux and J.-C. Pesquet. Generalized Multivariate Exponential Power Prior for Wavelet-Based Multichannel Image Restoration. In Proceedings of the 20th IEEE International Conference on Image Processing (ICIP 2013), pages 2402-2406, Melbourne, Australia, 15-18 septembre 2013. [Article]
69. A. Florescu, E. Chouzenoux, J.-C. Pesquet and S. Ciochina. A Constrained Optimization Approach for Complex Sparse Perturbed Models. In Proceedings of the Signal Processing with Adaptive Sparse Structured Representations (SPARS 2013), Lausanne, Suisse, 8-11 juillet 2013. [Article]
70. E. Chouzenoux, F. Zolyniak, E. Gouillart and H. Talbot. A Majorize-Minimize Memory Gradient Algorithm Applied to X-Ray Tomography. Accepté à ICTMS 2013.
71. A. Repetti, E. Chouzenoux and J.-C. Pesquet. A Penalized Weighted Least Squares Approach for Restoring Data Corrupted with Signal-Dependent Noise. In Proceedings of the 20th European Signal Processing Conference (EUSIPCO 2012), pages 1553-1557, Bucarest, Roumanie, 27-31 août 2012. [Article] [Poster]
72. S. Moussaoui, E. Chouzenoux and J. Idier. Primal-Dual Interior Point Optimization for Penalized Least Squares Estimation of Abundance Maps in Hyperspectral Imaging. In Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2012), Shangai, Chine, 4-7 juin 2012. Best Paper Award. [Article] [Slides]
73. A. Jezierska, E. Chouzenoux, J.-C. Pesquet and H. Talbot. A Primal-Dual Proximal Splitting Approach for Restoring Data Corrupted with Poisson-Gaussian Noise. In Proceedings of the 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), pages 1085-1088, Kyoto, Japon, 25-30 mars 2012.  [Article] [Poster]
74. E. Chouzenoux, S. Moussaoui and J. Idier. Efficiency of Line Search Strategies in Interior Point Methods for Linearly Constrained Optimization. In Proceedings of the IEEE Workshop on Statistical Signal Processing (SSP 2011), pages 101-104, Nice, France, 28-30 juin 2011.  [Article] [Poster]
75. E. Chouzenoux, J.-C. Pesquet, H. Talbot and A. Jezierska. A Memory Gradient Algorithm for l2-l0 Regularization with Applications to Image Restoration. In Proceedings of the 18th IEEE International Conference on Image Processing (ICIP 2011), pages 2717-2720, Bruxelles, Belgique, 11-14 septembre 2011.  [Article] [Poster]
76. E. Chouzenoux, S. Moussaoui and J. Idier. Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale. In Actes du 23e colloque GRETSI, Bordeaux, France, 5-8 septembre 2011.  [Résumé] [Article] [Slides]
77. E. Chouzenoux, S. Moussaoui, J. Idier and F. Mariette. Optimization Algorithm for Maximum Entropy 2d Nuclear Resonance Reconstruction. In Proceedings of the 35th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), pages 4154-4157, Dallas, Texas, USA, 14-19 mars 2010. [Article] [Poster]
78. E. Chouzenoux, S. Moussaoui, J. Idier and F. Mariette. Reconstruction d'un spectre RMN 2D par maximum d'entropie. In Actes du 22e colloque GRETSI, Dijon, France, 8-11 septembre 2009. [Résumé] [Article] [Poster] 

Colloques sans acte/Séminaires invités

• E. Chouzenoux (joint work with Y. Marnissi, J.C. Pesquet and A. Benazza-Benyahia). Majorize-Minimize adapted Metropolis Hastings Algorithms. Invited talk, AIP 2019, Grenoble, France, 12 July 2019.
• E. Chouzenoux (joint work with J.-C. Pesquet and A. Benfenati). Proximal approaches for matrix optimization problems. Plenary talk, SPARS 2019, Toulouse, France, 4 July 2019.
• E. Chouzenoux (joint work with C. Bertocchi, M.-C. Corbineau, J.-C. Pesquet and M. Prato). Deep Unfolding of a Proximal Interior Point Method for Image Restoration. Invited seminar, Inria Rennes PANAMA, 24 April 2019, Rennes, France.
• E. Chouzenoux (joint work with C. Bertocchi, M.-C. Corbineau, J.-C. Pesquet and M. Prato). Deep Unfolding of a Proximal Interior Point Method for Image Restoration. Invited seminar, Imagine ENPC, 19 April 2019, Champs-sur-Marne, France.
• E. Chouzenoux (joint work with J.-C. Pesquet and A. Benfenati). Proximal approaches for matrix optimization problems. Invited seminar, Univ. Paris-Dauphine, Paris, France, 26 March 2019.
• E. Chouzenoux (joint work with C. Bertocchi, M.-C. Corbineau, J.-C. Pesquet and M. Prato). Deep Unfolding of a Proximal Interior Point Method for Image Restoration. Invited talk, Imaging in Paris, IHP, 5 February 2019, Paris, France.
• E. Chouzenoux (joint work with Y. Marnissi, Y. Zheng, J.-C. Pesquet). A variational Bayesian approach for image restoration with Poisson-Gaussian noise. Invited seminar, Heriot Watt University, Edimburg, UK, 25 June 2018.
• E. Chouzenoux, Y. Marnissi, Y. Zheng, J.-C. Pesquet. A variational Bayesian approach for image restoration with Poisson-Gaussian noise. SIAM Conference on Imaging Science, Bologna, Italy, 5-8 June 2018.
• E. Chouzenoux, L. M. Briceno-Arias, G. Chierchia, J.-C. Pesquet. A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression. SIAM Conference on Imaging Science, Bologna, Italy, 5-8 June 2018.
• E. Chouzenoux, M.C. Corbineau, J.-C. Pesquet. Proximal Interior Point Algorithm For Large Scale Image Processing Problems. SIAM Conference on Imaging Science, Bologna, Italy, 5-8 June 2018.
• E. Chouzenoux, M.C. Corbineau, J.-C. Pesquet. Proximal Interior Point Algorithm For Large Scale Image Processing Problems. 9th International Conference "Inverse Problems: Modeling and Simulation (IPMS 2018), Paradise-Bay Hotel, Malta, 21-25 May 2018.
• E. Chouzenoux. Stochastic Majorize-Minimize Subspace Algorithm for Large Scale Data Processing. Invited seminar, Ann Arbor University, 2 avril 2018.
• E. Chouzenoux. Stochastic Majorize-Minimize Subspace Algorithm for Large Scale Data Processing. Invited seminar, CRIStAL, Lille, 20 février 2018.
• E. Chouzenoux (joint work with F. Abboud, J.-C. Pesquet, L. Laborelli, J.-H. Chenot). Proximity operator computation for video restoration. Invited seminar, LCS, Saclay, 8 décembre 2017.
• E. Chouzenoux (joint work with J.-C. Pesquet). Majorization-minimization algorithms for large scale data processing. Application to regularized phase retrieval. Invited seminar, IFPEN, Rueil Malmaison, 6 décembre 2017.
• E. Chouzenoux (joint work with A. Cherni, G. Chierchia, L. Bricenos-Arias and J.-C. Pesquet). A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression . Invited seminar, S3, CentraleSupélec, 24 novembre 2017.
• E. Chouzenoux (joint work with J.-C. Pesquet). Majorization-Minimization Subspace Algorithms for Large Scale Data Processing. Invited seminar, IIIT Delhi, 8 novembre 2017.
• E. Chouzenoux (joint work with Y. Marnissi, Y. Zheng and J.-C. Pesquet). A variational Bayesian approach for image restoration with Poisson-Gaussian noise. Journées annuelles 2017 des GdR MOA et MIA, Talence, 18 octobre 2017.
• E. Chouzenoux (joint work with F. Abboud, J.-C. Pesquet, L. Laborelli, J.-H. Chenot). Proximity operator computation for video restoration. Journées Franco-Chiliennes d'Optimisation, Toulouse, 6 juillet 2017.
• E. Chouzenoux (joint work with J.-C. Pesquet). Majorization-Minimization Subspace Algorithms for Large Scale Data Processing. Ecole d'été ``Structured Regularization for High-Dimensional Data Analysis'', IHP, 21 juin 2017.
• E. Chouzenoux (joint work with F. Abboud, J.-C. Pesquet, L. Laborelli, J.-H. Chenot). Accelerated dual forward-backward algorithms. Application to video restoration. Université de Modène, 3 avril 2017.
• E. Chouzenoux (joint work with S. Cadoni, J.-C. Pesquet and C. Chaux). A Block Parallel Majorize-Minimize Memory Gradient Algorithm. Journée GDR ISIS, Inversion et problèmes multi-*, IAP, Paris, 20 mars 2017.
• E. Chouzenoux (joint work with S. Cadoni, J.-C. Pesquet and C. Chaux). A Block Parallel Majorize-Minimize Memory Gradient Algorithm. Séminaire Parisien des Mathématiques Appliquées à l'Imagerie, IHP, Paris, 3 novembre 2016.
• E. Chouzenoux (joint work with J.-C. Pesquet). A stochastic Majorize-Minimize subspace algorithm with application to filter identification problems. Cavalieri workshop on Optimization and Optimal Transport for Imaging, INRIA Paris, 12 octobre 2016.
• E. Chouzenoux (joint work with J.-C. Pesquet). Convergence analysis of a stochastic Majorize-Minimize memory gradient algorithm. 28th European Conference on Operational Research (EURO 2016), Poznan, Polan, 4 juillet 2016.
• E. Chouzenoux Proximal methods: tools for solving large-scale, inverse problems of image and video processing. GT Scientifique Images TOTAL, Annecy, 15 juin 2016.
• E. Chouzenoux (joint work with J.-C. Pesquet). A stochastic Majorize-Minimize subspace algorithm with application to filter identification problems. Workshop Smart Energy and Stochastic Optimization (SESO 2016), ENPC, Champs/Marne, 3 mai 2016.
• E. Chouzenoux (joint work with J.-C. Pesquet). A stochastic Majorize-Minimize subspace algorithm with application to filter identification problems. Journées SMAI-MODE, Toulouse, 25 mars 2016.
• E. Chouzenoux (joint work with F. Abboud, J.-C. Pesquet, L. Laborelli, J.-H. Chenot). Accelerated dual forward-backward algorithms: Application to video restoration. Mathematical Image Analysis (MIA) conference, 19 janvier 2016.
• E. Chouzenoux (joint work with J.-C. Pesquet). An overview of Stochastic Methods for Solving Optimization Problems. Journée GDR ISIS, Sur les intéractions Méthodes de Monte Carlo et Algorithmes d'Optimisation, Paris, France, 26 novembre 2015. [Slides]
• E. Chouzenoux (joint work with A. Repetti and J.-C. Pesquet). Some recent results on proximal primal-dual methos for convex optimization. PGMO Days, 2015, Massy-Palaiseau, France, 27-28 octobre 2015.
• E. Chouzenoux (joint work with J.-C. Pesquet and M.-A. Delsuc). Proximal methods: tools for solving inverse problems in a large scale. Application to biophysics measurements processing. Chemical Complexity and Biology Symposium, Strasbourg, France, 19-20 janvier 2015.
• E. Chouzenoux (joint work with A. Repetti and J.-C. Pesquet). A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. Horizon Maths 2014, rencontres scientifiques IFPEN, Rueil-Malmaison, France, 15-16 décembre 2014.
• L. Duval (joint work with A. Repetti, M. Q. Pham, E. Chouzenoux and J.-C. Pesquet). Un taxi pour Euclide (et non Tobrouk) : déconvolution aveugle parcimonieuse, un algorithme préconditionné avec ratio de normes l1/l2. Journée GDR ISIS, "Problèmes inverses : approches myopes et aveugles, semi- et non-supervisées", Paris, France, 6 novembre 2014.
• E. Chouzenoux (joint work with A. Florescu and J.-C. Pesquet). A stochastic 3MG algorithm with application to 2D estimation problems. RICAM workshop: Variational Methods in Imaging, Linz, Autriche, 27-31 octobre 2014.
• A. Repetti (joint work with E. Chouzenoux and J.-C. Pesquet). Algorithme préconditionné explicite-implicite et application à la résolution de problèmes inverses en traitement du signal. Journée GDR ISIS, "Optimisation non-convexe", Paris, France, 16 octobre 2014.
• E. Chouzenoux. Proximal methods: tools for solving inverse problems on a large scale. Data Science and Massive Data Analysis, journée du Labex Bézout, Champs-sur-Marne, France, 12 juin 2014. [Slides]
• E. Chouzenoux (joint work with A. Repetti and J.-C. Pesquet). Une nouvelle approche régularisée pour la reconstruction de phase. Séminaire Parisien d'Optimisation, Paris, France, 24 mars 2014.
• A. Repetti (joint work with E. Chouzenoux and J.-C. Pesquet). Algorithme explicite-implicite préconditionné. Application à la résolution de problèmes inverses de grande taille. Journées d'imagerie optique non conventionnelle, GDR ISIS, Paris, France, 19-20 mars 2014.
• E. Chouzenoux (joint work with A. Florescu, J.-C. Pesquet, P. Ciuciu and S. Ciochina). Algorithme de majoration-minimisation pour les fonctions à valeurs complexes. Journée GDR ISIS, "Traitement du signal de données à valeurs complexes" , Marseille, France, 12 juin 2013.
• E. Chouzenoux (joint work with A. Jezierska, J.-C. Pesquet and H. Talbot). A Convex Variational Approach for Restoring Data Corrupted with Poisson-Gaussian Noise. 26th European Conference on Operational Research (EURO 2013), Rome, Italie, 1-4 juillet 2013.  
• E. Chouzenoux (joint work with A. Repetti and J.-C. Pesquet). A Memory Gradient Algorithm for non-convex Regularization with Applications to Image Restoration. Journées GDR MOA-MSPC, "Optimisation et traitement d'images", Saint-François, Guadeloupe, 4-7 juin 2012.  
• E. Chouzenoux (joint work with A. Repetti and J.-C. Pesquet). A Memory Gradient Algorithm for non-convex Regularization with Applications to Image Restoration. SIAM Conference on Imaging Science, Philadelphie, Pennsylvanie, USA, 20-22 mai 2012.  
• E. Chouzenoux (joint work with A. Jezierska, J.-C. Pesquet and H. Talbot). A Memory Gradient Algorithm for l2-l0 Regularization with Applications to Image Restoration. Journées GDR MOA-MSPC, "Optimisation et traitement d'images" , La Londe les Maures, France, 6-10 juin 2011.  [Slides]
• E. Chouzenoux (joint work with S. Moussaoui and J. Idier). Algorithmes de majoration-minimisation pour l'optimisation sous contraintes de positivité. Journée GDR ISIS, "Contraintes de nonnégativité en traitement du signal et des images" , Paris, France, 1er février 2011.  [Slides]

Rapports techniques

• E. Chouzenoux, S. Moussaoui and J. Idier. A Majorize-Minimize line search algorithm for barrier functions. Tech. Rep., IRCCyN, 2009. [Document]
• E. Chouzenoux. Modélisation du problème direct en tomographie axiale. Mémoire de Master, Ecole Centrale de Nantes, 2007. [Document]

Habilitation

Algorithmes de majoration-minimisation. Application aux problèmes inverses de grande taille en signal/image.

Soutenance :

Jury :

Thèse

Recherche de pas par Majoration-Minoration. Application à la résolution de problèmes inverses. [HAL]

Résumé :

Mots-clés :

Problèmes inverses, critère pénalisé, optimisation, convergence, descente itérative, recherche de pas, majoration-minoration, sous-espace, barrière logarithmique, distance de Kullback, maximum d'entropie, points intérieurs, résonance magnétique nucléaire.

Encadrement :

• Jérôme Idier, Directeur de recherche au CNRS, IRCCyN
• Saïd Moussaoui, Maître de conférences à l’École Centrale Nantes

Soutenance :

Jury :