Aurélia Fraysse

Publications :

• Article dans une revue - 15 documents
• • Yarui Zhang, Marc Lambert, Aurélia Fraysse, Dominique Lesselier. Unrolled convolutional neural network for full-wave inverse scattering, 2023-01. (https://centralesupelec.hal.science/hal-03694636v1)
  • Yarui Zhang, Marc Lambert, Aurélia Fraysse, Dominique Lesselier. Group sparsity penalized contrast source solution method for 2-D non-linear inverse scattering, 2022-01. (https://centralesupelec.hal.science/hal-03406799v1)
  • M. Amine Amine Hadj-Youcef, François Orieux, Alain Abergel, Aurélia Fraysse. Fast Joint Multiband Reconstruction from Wideband Images Based on Low Rank Approximation, 2020. (https://hal.science/hal-02778981v1)
  • Yuling Zheng, Aurélia Fraysse, Thomas Rodet. Efficient unsupervised variational Bayesian image reconstruction using a sparse gradient prior, 2019-06. (https://hal.science/hal-02161080v1)
  • Yuling Zheng, Aurélia Fraysse, Thomas Rodet. Efficient Variational Bayesian Approximation Method Based on Subspace optimization, 2015. (https://hal.science/hal-00990003v1)
  • Francesca Bassi, Aurélia Fraysse, Elsa Dupraz, Michel Kieffer. Rate-distortion bounds for Wyner-Ziv coding with Gaussian scale mixture correlation noise, 2014. (https://centralesupelec.hal.science/hal-01073664v1)
  • Aurélia Fraysse, Thomas Rodet. A measure-theoretic variational Bayesian algorithm for large dimensional problems, 2014. (https://hal.science/hal-00702259v2)
  • Mounir Kaaniche, Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. A Bit Allocation Method for Sparse Source Coding, 2014-01-01. (https://hal.science/hal-00796891v4)
  • Aurélia Fraysse. Why minimax is not that pessimistic, 2013. (https://hal.science/hal-00689840v1)
  • Aurélia Fraysse. Regularity criteria of almost every function in a Sobolev space, 2010. (https://hal.science/hal-00555299v2)
  • Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. On the uniform quantization of a class of sparse sources, 2009. (https://hal.science/hal-00555301v1)
  • Aurélia Fraysse. Generic validity of the multifractal formalism, 2007. (https://hal.science/hal-00689978v1)
  • Aurélia Fraysse, Stéphane Jaffard. How smooth is almost every function in a Sobolev space?, 2006. (https://hal.science/hal-01119126v1)
  • Aurélia Fraysse, Stéphane Jaffard. The Sobolev embeddings are usually sharp, 2005. (https://hal.science/hal-01119125v1)
  • Aurélia Fraysse, Stéphane Jaffard, Jean-Pierre Kahane. Quelques propriétés génériques en analyse, 2005. (https://hal.science/hal-01119124v1)
• Communication dans un congrès - 26 documents
• • Yarui Zhang, Marc Lambert, Aurelia Fraysse, Dominique Lesselier. Use of sparsity in nonlinear electromagnetic imaging: wavelet-based contrast source method, 2021-08-28. (https://centralesupelec.hal.science/hal-03225687v1)
  • Yarui Zhang, Marc Lambert, Aurélia Fraysse, Dominique Lesselier. A wavelet-based contrast source inversion method, 2021-08-08. (https://centralesupelec.hal.science/hal-03326728v1)
  • Monacer da Silva, Jean Charléty, Aurélia Fraysse, Jean-Christophe Pesquet. A Small-Scale Network for Seismic Patterns Classification, 2021-01-18. (https://hal.science/hal-03619395v1)
  • Mohamed El Amine Hadj-Youcef, François Orieux, Aurélia Fraysse, A. Abergel. Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data, 2018-09-03. (https://centralesupelec.hal.science/hal-01952286v1)
  • Quentin Bammey, Philippe Bacon, Eric Chassande-Mottin, Aurélia Fraysse, Stéphane Jaffard. Sparse Time-Frequency Representation of Gravitational-Wave signals in Unions of Wilson Bases, 2018-09-03. (https://hal.science/hal-02080871v1)
  • Fangchen Feng, Éric Chassande-Mottin, Philippe Bacon, Aurélia Fraysse. Structured sparsity regularization for gravitational- wave polarization reconstruction, 2018-09-03. (https://hal.science/hal-02080853v1)
  • Mohamed Amine Hadj-Youcef, François Orieux, Aurélia Fraysse, Alain Abergel. Restauration d'objets astrophysiques à partir de données multispectrales floues et d'une réponse instrument non-stationnaire, 2017-09-05. (https://hal.science/hal-01596257v1)
  • Hidayet Zaimaga, Aurélia Fraysse, Marc Lambert. Parcimonie structurée pour l’imagerie micro-ondes, 2017-09-05. (https://hal.science/hal-01596259v1)
  • Hidayet Zaimaga, Aurélia Fraysse, Marc Lambert. Nonlinear imaging of 3D defect in anisotropic laminate using joint sparsity constraints, 2017-09-04. (https://centralesupelec.hal.science/hal-01587782v1)
  • Mohamed El Amine Hadj-Youcef, François Orieux, Aurélia Fraysse, M A Hadj-Youcef˚, F Orieux˚, A Fraysse˚, Alain Abergel. Restoration from Multispectral Blurred Data with Non-Stationary Instrument Response, 2017-08-28. (https://hal.science/hal-01596253v1)
  • Hidayet Zaimaga, Aurélia Fraysse, Marc Lambert. Sparse Reconstruction Algorithms for Nonlinear Microwave Imaging, 2017-08-28. (https://centralesupelec.hal.science/hal-01587676v1)
  • Yuling Zheng, Aurélia Fraysse, Thomas Rodet. Approche bayésiennevariationnelle non-supervisée basée sur les ondelettes, 2015-09-08. (https://hal.science/hal-01266466v1)
  • Yuling Zheng, Aurélia Fraysse, Thomas Rodet. Wavelet based unsupervised variational Bayesian image reconstruction approach, 2015-08-31. (https://hal.science/hal-01266464v1)
  • Mounir Kaaniche, Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. Accurate rate-distortion approximation for sparse Bernoulli-Generalized Gaussian models, 2014-05-04. (https://hal.science/hal-01090564v1)
  • Yuling Zheng, Thomas Rodet, Aurelia Fraysse. Fast variational Bayesian approaches applied to large dimensional problems, 2013-09. (https://hal.science/hal-00843494v1)
  • Yuling Zheng, Aurélia Fraysse, Thomas Rodet. A subspace-based variational Bayesian method, 2013-05-31. (https://hal.science/hal-00819241v1)
  • Yuling Zheng, Thomas Rodet, Aurélia Fraysse. Approches rapides du bayésien variationnel pour des problèmes de grande dimension, 2013. (https://hal.science/hal-00843497v1)
  • Leila Gharsalli, Mohammad-Djafari Ali, Aurélia Fraysse, Thomas Rodet. Variational Bayesian approximation with scale mixture prior: a comparison between three algorithms, 2012-07-15. (https://hal.science/hal-00854783v1)
  • Mounir Kaaniche, Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. A convex programming bit allocation method for sparse sources, 2012-05-07. (https://hal.science/hal-00734456v1)
  • Ali Komaty, Claude Delpha, Aurélia Fraysse. Floating Costa Scheme with Fractal Structure for Information Embedding, 2012-04-23. (https://centralesupelec.hal.science/hal-00724874v1)
  • Ali Komaty, Claude Delpha, Aurélia Fraysse. Tatouage Numérique par Schéma de Costa à Structure Fractale Flottante, 2011-09. (https://centralesupelec.hal.science/hal-00617347v1)
  • Aurélia Fraysse, Thomas Rodet. A gradient-like variational Bayesian algorithm, 2011-06-28. (https://hal.science/hal-00611193v1)
  • Aurélia Fraysse, Thomas Rodet. Sur un nouvel algorithme Bayesien variationel, 2011. (https://hal.science/hal-00819235v1)
  • Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. Une méthode d'allocation de débit basse-résolution pour des données parcimonieuses, 2009. (https://hal.science/hal-00555302v1)
  • Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. Rate-distortion results for Generalized Gaussian distributions, 2008. (https://hal.science/hal-00621907v1)
  • Claudia Teodora Petrisor, Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. Une nouvelle approche du codage par descriptions multiples, utilisant des représentations linéaires creuses, 2007. (https://hal.science/hal-01119931v1)
• HDR - 1 document
• • Aurélia Fraysse. Apports méthodologiques basés sur la parcimonie pour les problèmes inverses, 2017-11-07. (https://hal.science/tel-01658054v1)
• Chapitre d'ouvrage - 2 documents
• • Thomas Rodet, Aurélia Fraysse, H Ayasso. Variational Bayesian Approach and Bi-Model for the Reconstruction-Separation of Astrophysics Components, 2015-02-06. (https://hal.univ-grenoble-alpes.fr/hal-01982489v1)
  • Thomas Rodet, Aurélia Fraysse, H Ayasso. Approche bayésienne variationnelle et bimodèle pour la reconstruction-séparation de composantes astrophysiques, 2013. (https://hal.science/hal-00933592v1)
• Pré-publication, Document de travail - 1 document
• • Aurélia Fraysse. On the wavelet denoising of multifractal functions, 2012-09-12. (https://hal.science/hal-00731464v1)
• Thèse - 1 document
• • Aurélia Fraysse. Résultats de généricité en analyse multifractale, 2005-12-14. (https://theses.hal.science/tel-00012156v1)