Yuling Zheng, Aurélia Fraysse, Thomas Rodet. Efficient Variational Bayesian Approximation Method Based on Subspace optimization. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, 24 (2), pp.681-693. 〈hal-00990003〉

Mounir Kaaniche, Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. A Bit Allocation Method for Sparse Source Coding. IEEE Trans. on Image Processing, IEEE, 2014, 23 (1), pp.137-152. 〈hal-00796891v4〉

Francesca Bassi, Aurélia Fraysse, Elsa Dupraz, Michel Kieffer. Rate-distortion bounds for Wyner-Ziv coding with Gaussian scale mixture correlation noise. IEEE Transaction on Information Theory, 2014, 60 (12), pp.7540-7546. 〈hal-01073664〉

Aurélia Fraysse, Thomas Rodet. A measure-theoretic variational Bayesian algorithm for large dimensional problems. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2014, 7 (4), pp.2591-2622. 〈hal-00702259v2〉

Aurélia Fraysse. Why minimax is not that pessimistic. ESAIM: Probability and Statistics, EDP Sciences, 2013, 17, pp.472-484. 〈10.1051/ps/2012002〉. 〈hal-00689840〉

Aurélia Fraysse. Regularity criteria of almost every function in a Sobolev space. Journal of Functional Analysis, Elsevier, 2010, pp.1806-1821. 〈10.1016/j.jfa.2009.11.017〉. 〈hal-00555299v2〉

Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. On the uniform quantization of a class of sparse sources. IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2009, 55 (7), pp.3243-3263. 〈hal-00555301〉

Aurélia Fraysse. Generic validity of the multifractal formalism. SIAM Journal on Mathematical Analysis, Society for Industrial and Applied Mathematics, 2007, 39 (2), pp.593-607. 〈hal-00689978〉

Aurélia Fraysse, Stéphane Jaffard. How smooth is almost every function in a Sobolev space?. Revista Matemática Iberoamericana, European Mathematical Society, 2006, 22, pp.663-682. 〈hal-01119126〉

Aurélia Fraysse, Stéphane Jaffard. The Sobolev embeddings are usually sharp. Abstract and Applied Analysis, Hindawi Publishing Corporation, 2005, 4, pp.437-448. 〈hal-01119125〉

Aurélia Fraysse, Stéphane Jaffard, Jean-Pierre Kahane. Quelques propriétés génériques en analyse. Comptes rendus de l'Académie des sciences. Série I, Mathématique, Elsevier, 2005, 340, pp.645-651. 〈hal-01119124〉

Hidayet Zaimaga, Aurélia Fraysse, Marc Lambert. Nonlinear imaging of 3D defect in anisotropic laminate using joint sparsity constraints. 18th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2017), Sep 2017, Chamonix, France. ISEM 2017. <hal-01587782>

Hidayet Zaimaga, Aurélia Fraysse, Marc Lambert. Sparse Reconstruction Algorithms for Nonlinear Microwave Imaging. 25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos island, Greece. pp.743-747, European Signal Processing Conference (EUSIPCO 2017). <http://www.eusipco2017.org/>. <hal-01587676>

Yuling Zheng, Aurélia Fraysse, Thomas Rodet. Wavelet based unsupervised variational Bayesian image reconstruction approach. EUSIPCO, 2015, Nice, France. pp.2212-2216, 2015. 〈hal-01266464〉

Mounir Kaaniche, Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. Accurate rate-distortion approximation for sparse Bernoulli-Generalized Gaussian models. ICASSP, May 2014, Florence, Italy. 2014. 〈hal-01090564〉

Yuling Zheng, Thomas Rodet, Aurelia Fraysse. Fast variational Bayesian approaches applied to large dimensional problems. International Conference on Image Processing (ICIP), Sep 2013, Australia. pp.1240, 2013. 〈hal-00843494〉

Yuling Zheng, Thomas Rodet, Aurélia Fraysse. Approches rapides du bayésien variationnel pour des problèmes de grande dimension. GRETSI, 2013, France. pp.241, 2013. 〈hal-00843497〉

Yuling Zheng, Aurélia Fraysse, Thomas Rodet. A subspace-based variational Bayesian method. ICASSP, 2013, Vancouver, Canada. pp.id 4489, 2013. 〈hal-00819241〉

Mounir Kaaniche, Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. A convex programming bit allocation method for sparse sources. Proceedings of the IEEE International Picture Coding Symposium (PCS), May 2012, Poland. pp.853-856, 2012. 〈hal-00734456〉

Ali Komaty, Claude Delpha, Aurélia Fraysse. Floating Costa Scheme with Fractal Structure for Information Embedding. IEEE. ICT 2012, Apr 2012, Lebanon. pp.1-6, 2012, 〈10.1109/ICTEL.2012.6221283〉. 〈hal-00724874〉

Leila Gharsalli, Mohammad-Djafari Ali, Aurélia Fraysse, Thomas Rodet. Variational Bayesian approximation with scale mixture prior: a comparison between three algorithms. 32nd International Workshop on Bayesian Inference and Maximun Entropy Methods in Sciences and Engineerin, Jul 2012, Garching near Munich, Germany. 1353, pp.130-138, 2012. 〈hal-00854783〉

Aurélia Fraysse, Thomas Rodet. A gradient-like variational Bayesian algorithm. Stastistical Signal Processing Workshop, Jun 2011, Nice, France. pp.605, 2011. 〈hal-00611193〉

Ali Komaty, Claude Delpha, Aurélia Fraysse. Tatouage Numérique par Schéma de Costa à Structure Fractale Flottante. GRETSI 2011, Sep 2011, Bordeaux, France. 2011. 〈hal-00617347〉

Aurélia Fraysse, Thomas Rodet. Sur un nouvel algorithme Bayesien variationel. GRETSI, 2011, France. pp.id 91, 2011. 〈hal-00819235〉

Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. Une méthode d'allocation de débit basse-résolution pour des données parcimonieuses. GRETSI, 2009, France. http://hdl.handle.net/2042/28969, 2009. 〈hal-00555302〉

Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. Rate-distortion results for Generalized Gaussian distributions. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'08), 2008, Las Vegas, United States. pp.3753-3756, 2008, 〈10.1109/ICASSP.2008.4518469〉. 〈hal-00621907〉

Claudia Teodora Petrisor, Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. Une nouvelle approche du codage par descriptions multiples, utilisant des représentations linéaires creuses. GRETSI, 2007, Troyes, France. 2007. 〈hal-01119931〉

Thomas Rodet, Aurélia Fraysse, Hacheme Ayasso. Approche bayésienne variationnelle et bimodèle pour la reconstruction-séparation de composantes astrophysiques. Méthodes d'inversion appliquées au traitement du signal et de l'image, Lavoisier, pp.249-273, 2013, Traité IC2, série Signal et image, 9782746245488. 〈hal-00933592〉

Aurélia Fraysse. On the wavelet denoising of multifractal functions. 2012. 〈hal-00731464〉

Aurélia Fraysse. Résultats de généricité en analyse multifractale. Mathématiques [math]. Université Paris XII Val de Marne, 2005. Français. 〈tel-00012156〉