World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
65
Citations
20028
World Ranking
2430
National Ranking
28

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2014 - IEEE Fellow For contributions to the theory and applications of sparse signal processing

Overview

Rémi Gribonval is affiliated with the École Normale Supérieure de Lyon in France and has a research profile focused primarily within the field of computer science. Their work extensively covers artificial intelligence, computational mechanics, computer vision and pattern recognition, signal processing, and statistical and nonlinear physics.

The main topics addressed in their research include sparse and compressive sensing techniques, neural networks and applications, privacy-preserving technologies in data, domain adaptation and few-shot learning, matrix theory and algorithms, stochastic gradient optimization techniques, and image and signal denoising methods.

Rémi Gribonval's publication record spans several frequent venues, highlighting a variety of contributions to the academic community. These venues include:

  • arXiv (Cornell University)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • Information and Inference A Journal of the IMA
  • Constructive Approximation
  • IEEE Signal Processing Magazine

Their recent published papers cover a range of related topics, including:

  • Training with Quantization Noise for Extreme Model Compression, 2020, arXiv (Cornell University)
  • Approximation Spaces of Deep Neural Networks, 2021, Constructive Approximation
  • A Sparse EEG-Informed fMRI Model for Hybrid EEG-fMRI Neurofeedback Prediction, 2020, Frontiers in Neuroscience
  • Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization, 2020, PLoS ONE
  • Sparsity-Based Audio Declipping Methods: Selected Overview, New Algorithms, and Large-Scale Evaluation, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing

Their frequent co-authors include Elisa Riccietti with 17 joint publications, Pierre Borgnat and Léon Zheng each with 8 joint publications, Antoine Gonon with 6, and Nelly Pustelnik with 5.

In recognition of their contributions to the field, Rémi Gribonval was awarded the IEEE Fellow distinction in 2014 for work related to the theory and applications of sparse signal processing.

Best Publications

  • Performance measurement in blind audio source separation

    E. Vincent;R. Gribonval;C. Fevotte

  • Wavelets on graphs via spectral graph theory

    David K. Hammond;Pierre Vandergheynst;Rémi Gribonval

  • Sparse representations in unions of bases

    R. Gribonval;M. Nielsen

  • The Cosparse Analysis Model and Algorithms

    Sangnam Nam;Mike E. Davies;Michael Elad;Rémi Gribonval

  • Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model

    Ngoc Q K Duong;Emmanuel Vincent;Rémi Gribonval

  • Harmonic decomposition of audio signals with matching pursuit

    R. Gribonval;E. Bacry

  • Fast matching pursuit with a multiscale dictionary of Gaussian chirps

    R. Gribonval

  • Sparse Representations in Audio and Music: From Coding to Source Separation

    Mark D Plumbley;Thomas Blumensath;Laurent Daudet;Remi Gribonval

  • Audio Inpainting

    A. Adler;V. Emiya;M. G. Jafari;M. Elad

  • BSS_EVAL Toolbox User Guide -- Revision 2.0

    Cédric Févotte;Rémi Gribonval;Emmanuel Vincent

  • On the exponential convergence of matching pursuits in quasi-incoherent dictionaries

    R. Gribonval;P. Vandergheynst

  • Adaptation of Bayesian Models for Single-Channel Source Separation and its Application to Voice/Music Separation in Popular Songs

    A. Ozerov;P. Philippe;F. Bimbot;R. Gribonval

  • Audio source separation with a single sensor

    L. Benaroya;F. Bimbot;R. Gribonval

  • Atoms of All Channels, Unite! Average Case Analysis of Multi-Channel Sparse Recovery Using Greedy Algorithms

    Rémi Gribonval;Holger Rauhut;Karin Schnass;Pierre Vandergheynst

  • Mptk: Matching Pursuit Made Tractable

    S. Krstulovic;R. Gribonval

  • A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges

    Rémi Gribonval;Sylvain Lesage

  • Dictionary Identification—Sparse Matrix-Factorization via $ll_1$ -Minimization

    Rémi Gribonval;Karin Schnass

  • From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound

    Emmanuel Vincent;Nancy Bertin;Remi Gribonval;Frederic Bimbot

  • Highly sparse representations from dictionaries are unique and independent of the sparseness measure

    Rémi Gribonval;Morten Nielsen

  • Near-field acoustic holography using sparse regularization and compressive sampling principles.

    Gilles Chardon;Laurent Daudet;Antoine Peillot;François Ollivier

  • Training with Quantization Noise for Extreme Model Compression

    Angela Fan;Pierre Stock;Benjamin Graham;Edouard Grave

Frequent Co-Authors

Emmanuel Vincent
Emmanuel Vincent University of Lorraine
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Frédéric Bimbot
Frédéric Bimbot French Institute for Research in Computer Science and Automation - INRIA
Laurent Daudet
Laurent Daudet Université Paris Cité
Michael Elad
Michael Elad Technion – Israel Institute of Technology
Isabelle Merlet
Isabelle Merlet University of Rennes
Mark D. Plumbley
Mark D. Plumbley King's College London
Pierre Comon
Pierre Comon Grenoble Alpes University
Hervé Jégou
Hervé Jégou Facebook (United States)
Cédric Févotte
Cédric Févotte Toulouse Institute of Computer Science Research

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