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, 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>

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

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>

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>

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>

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>

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>