Remi GRIBONVAL
Author's posts
Sep 15
EUSIPCO 2014 Best Student Paper Award
Our paper entitled “A Dynamic Screening Principle for the Lasso” (by A. Bonnefoy, V. Emiya, L. Ralaivola, R. Gribonval) won a EUSIPCO 2014 Best Student Paper Award. http://www.eusipco2014.org/awards/best-student-paper-awards/ Congratulations to Antoine Bonnefoy for this achievement!
Dec 27
Special session “Dictionary learning and applications” @ Curves & Surfaces 2014
R. Gribonval organizes a mini-symposium on Dictionary Learning and Applications at the Curves & Surfaces conference in Paris, June 2014.
Dec 27
Special session “Mathematics for Image Processing” @ SMAI-MODE 2014
R. Gribonval organizes a special session “Mathématiques pour l’Image” at the journées du groupe SMAI-MODE 2014 in Rennes, March 2014.
Nov 27
Rémi Gribonval becomes IEEE Fellow
Remi Gribonval has been elevated to the grade of IEEE Fellow by the IEEE Board of Directors for contributions to the theory and applications of sparse signal processing.
May 31
Two positions in Medical Imaging, Machine Learning and Compressive Sensing
The VISAGES and PANAMA teams at Inria Rennes are seeking highly qualified candidates with background in applied mathematics, machine learning, and image processing for a Ph.D. and a Postdoc research project in neuro-imaging. Details on our Job Offers page.
May 21
Release of Matlab code for Cosparse Approximation and Learning
The paper Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies. Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Transactions on Signal Processing, IEEE, 2013, 61 (9), pp. 2341-2355. <http://dx.doi.org/10.1109/TSP.2013.2250968> describes an approach for Constrained Analysis Operator Learning. The code is now available here. In the paper Raja Giryes, Sangnam Nam, Michael Elad, …
May 16
Release of DEMAND: Diverse Environments Multichannel Acoustic Noise Database
We are happy to announce the release of DEMAND, a set of real-world 16-channel noise recordings designed for the evaluation of microphone array processing techniques. http://www.irisa.fr/metiss/DEMAND/ 1.5 h of noise data were recorded in 18 different indoor and outdoor environments and are available under the terms of the Creative Commons Attribution-ShareAlike License. Joachim Thiemann (CNRS …
May 09
MPTK 0.7.0 has been released
* New pyMPTK wrapper, enables direct use of MPTK within Python * Enabled GPD with the Dirac, Constant and Nyquist blocks * Anywave block now working from command-line mpd and mpr * Improved XML parsing of books (note: the API to use for writing new plugins changes as a result of this; and MPTK books …
