Remi GRIBONVAL

Author's posts

Code release: PHYSALIS (Physics-Driven Cosparse Analysis) and CBC4CS (Convex Blind Calibration for Compressed Sensing)

The PHYSALIS Matlab code allows to reproduce the experiments from a series of papers from our group on cosparse (=analysis flavor of sparse) source localization, for both acoustic inverse problems and EEG inverse problems. It is available here The CBC4CS code allows to reproduce convex blind calibration experiments in the context of compressive sensing. It …

Continue reading

2017 EURASIP Best Paper Award

Our joint paper published in EURASIP Journal on Advances in Signal Processing has been awarded a 2017 EURASIP best paper award Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques Gilles Puy, Pierre Vandergheynst, Rémi Gribonval and Yves Wiaux The award ceremony will take place at EUSIPCO 2017 in Greece. For …

Continue reading

Preprint + code on Compressive K-Means

We have a new preprint on Compressive K-Means. Read it on https://hal.inria.fr/hal-01386077 Download the code at http://sketchml.gforge.inria.fr/

(closed) PhD offer – Interactive Navigation for a Video Audio True Experience @ PANAMA, Inria Rennes

Details and appliication here

Paper + code on random sampling of bandlimited signals on graphs

Our paper on Random Sampling of Bandlimited Signals on Graphs has been accepted for publication in Applied and Computational Harmonic Analysis . Read it on arXiv:1511.05118 or hal:hal-01320214 Download the code at http://grsamplingbox.gforge.inria.fr/

2016 Award for Outstanding Contributions in Neural Systems

Congratulations to Antoine Deleforge (new PANAMA team member), Florence Forbes (MISTIS team) and Radu Horaud (PERCEPTION team) who received the 2016 Hojjat Adeli Award for Outstanding Contributions in Neural Systems for their paper: A. Deleforge, F. Forbes, and R. Horaud (2015), “Acoustic Space Learning for Sound-source Separation and Localization on Binaural Manifolds,” International Journal of …

Continue reading

(closed) PhD offer – Estimating the Geometry of Audio Scenes Using Virtually-Supervised Learning @ Inria Rennes

Details and application here

Paper + code on Compressive Spectral Clustering

Our paper on Compressive Spectral Clustering has been accepted to ICML. Read it on arXiv:1602.02018 or hal:hal-01320214 Download the code at http://cscbox.gforge.inria.fr

Available for download: FaµST code, to replace large dense matrices with computationally efficient approximations

FaµST (pronounce FAUST) yields computationnaly efficient approximations to large dense matrices that can speed up iterative solvers for large-scale linear inverse problems. See details on the methodology behind FaµST and some other applications, in our paper Le Magoarou L. and Gribonval R., “Flexible multi-layer sparse approximations of matrices and applications”, Journal of Selected Topics in Signal …

Continue reading

Just published: special Issue on Multimodality and New Interactions in Music Signal Processing

The French-speaking journal “Traitement du Signal” publishes this trimester a special issue on the theme of Multimodality and New Interactions in Music Signal Processing (“Traitement Des Signaux Musicaux Multimodalité Et Nouvelles Interactions”), coordinated by Nancy BERTIN, Frédéric BIMBOT, Jules ESPIAU DE LAMAËSTRE and Anaïk OLIVERO, members or former members of PANAMA team. All articles published in …

Continue reading