Rémi Gribonval

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 138

Top Venues

CoRR

ICASSP

EUSIPCO

IEEE Trans. Signal Process.

Publications

Rémi Vaudaine, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai
Temporal network compression via network hashing. Appl. Netw. Sci. 9 (1) (2024)
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
Butterfly factorization by algorithmic identification of rank-one blocks. CoRR (2023)
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows. CoRR (2023)
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
Abide by the law and follow the flow: conservation laws for gradient flows. NeurIPS (2023)
Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
A path-norm toolkit for modern networks: consequences, promises and challenges. CoRR (2023)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
Private Statistical Estimation of Many Quantiles. ICML (2023)
Quoc-Tung Le, Elisa Riccietti, Rémi Gribonval
Spurious Valleys, NP-Hardness, and Tractability of Sparse Matrix Factorization with Fixed Support. SIAM J. Matrix Anal. Appl. 44 (2) (2023)
Léon Zheng, Elisa Riccietti, Rémi Gribonval
Efficient Identification of Butterfly Sparse Matrix Factorizations. SIAM J. Math. Data Sci. 5 (1) (2023)
Quoc-Tung Le, Elisa Riccietti, Rémi Gribonval
Does a sparse ReLU network training problem always admit an optimum? CoRR (2023)
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
Self-supervised learning with rotation-invariant kernels. ICLR (2023)
Antoine Gonon, Nicolas Brisebarre, Rémi Gribonval, Elisa Riccietti
Approximation Speed of Quantized Versus Unquantized ReLU Neural Networks and Beyond. IEEE Trans. Inf. Theory 69 (6) (2023)
Rémi Vaudaine, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai
Temporal network compression via network hashing. CoRR (2023)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
On the Statistical Complexity of Estimation and Testing under Privacy Constraints. Trans. Mach. Learn. Res. 2023 (2023)
Ayoub Belhadji, Rémi Gribonval
Revisiting RIP guarantees for sketching operators on mixture models. CoRR (2023)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
About the Cost of Global Privacy in Density Estimation. CoRR (2023)
Titouan Vayer, Etienne Lasalle, Rémi Gribonval, Paulo Gonçalves
Compressive Recovery of Sparse Precision Matrices. CoRR (2023)
Quoc-Tung Le, Rémi Gribonval, Elisa Riccietti
Does a sparse ReLU network training problem always admit an optimum ? NeurIPS (2023)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
Private Statistical Estimation of Many Quantiles. CoRR (2023)
Ayoub Belhadji, Rémi Gribonval
Sketch and shift: a robust decoder for compressive clustering. CoRR (2023)
Titouan Vayer, Rémi Gribonval
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning. J. Mach. Learn. Res. 24 (2023)
Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval
Private Quantiles Estimation in the Presence of Atoms. CoRR (2022)
Antoine Gonon, Nicolas Brisebarre, Rémi Gribonval, Elisa Riccietti
Approximation speed of quantized vs. unquantized ReLU neural networks and beyond. CoRR (2022)
Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves
Fast Multiscale Diffusion On Graphs. ICASSP (2022)
Barbara Pascal, Patrice Abry, Nelly Pustelnik, Stéphane G. Roux, Rémi Gribonval, Patrick Flandrin
Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data. IEEE Trans. Signal Process. 70 (2022)
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
On the Statistical Complexity of Estimation and Testing under Privacy Constraints. CoRR (2022)
Quoc-Tung Le, Léon Zheng, Elisa Riccietti, Rémi Gribonval
Fast Learning of Fast Transforms, with Guarantees. ICASSP (2022)
Luc Giffon, Rémi Gribonval
Compressive Clustering with an Optical Processing Unit. CoRR (2022)
Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
Self-supervised learning with rotation-invariant kernels. CoRR (2022)
Amélie Barbe, Paulo Gonçalves, Marc Sebban, Pierre Borgnat, Rémi Gribonval, Titouan Vayer
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. ICTAI (2021)
Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
Sketching Data Sets for Large-Scale Learning: Keeping only what you need. IEEE Signal Process. Mag. 38 (5) (2021)
Léon Zheng, Rémi Gribonval, Elisa Riccietti
Identifiability in Exact Two-Layer Sparse Matrix Factorization. CoRR (2021)
Clément Gaultier, Srdan Kitic, Rémi Gribonval, Nancy Bertin
Sparsity-Based Audio Declipping Methods: Selected Overview, New Algorithms, and Large-Scale Evaluation. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Quoc-Tung Le, Rémi Gribonval
Structured Support Exploration for Multilayer Sparse Matrix Factorization. ICASSP (2021)
Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves
Fast Multiscale Diffusion on Graphs. CoRR (2021)
Léon Zheng, Rémi Gribonval, Elisa Riccietti
Identifiability in Exact Multilayer Sparse Matrix Factorization. CoRR (2021)
Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
Training with Quantization Noise for Extreme Model Compression. ICLR (2021)
Titouan Vayer, Rémi Gribonval
Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning. CoRR (2021)
Quoc-Tung Le, Elisa Riccietti, Rémi Gribonval
Spurious Valleys, Spurious Minima and NP-hardness of Sparse Matrix Factorization With Fixed Support. CoRR (2021)
Pierre Stock, Rémi Gribonval
An Embedding of ReLU Networks and an Analysis of their Identifiability. CoRR (2021)
Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Minibatch optimal transport distances; analysis and applications. CoRR (2021)
Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, Rémi Gribonval
Graph Diffusion Wasserstein Distances. ECML/PKDD (2) (2020)
Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
Training with Quantization Noise for Extreme Model Compression. CoRR (2020)
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. ICLR (2020)
Diego Di Carlo, Clement Elvira, Antoine Deleforge, Nancy Bertin, Rémi Gribonval
Blaster: An Off-Grid Method for Blind and Regularized Acoustic Echoes Retrieval. ICASSP (2020)
Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin
Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling. CoRR (2020)
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS (2020)
Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
Sketching Datasets for Large-Scale Learning (long version). CoRR (2020)
Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic
Fast Optical System Identification by Numerical Interferometry. ICASSP (2020)
Clément Gaultier, Srdan Kitic, Rémi Gribonval, Nancy Bertin
Sparsity-based audio declipping methods: overview, new algorithms, and large-scale evaluation. CoRR (2020)
Rémi Gribonval, Mila Nikolova
A Characterization of Proximity Operators. J. Math. Imaging Vis. 62 (6-7) (2020)
Clement Elvira, Jeremy E. Cohen, Cédric Herzet, Rémi Gribonval
Continuous dictionaries meet low-rank tensor approximations. CoRR (2020)
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. CoRR (2019)
Clément Elvira, Rémi Gribonval, Charles Soussen, Cédric Herzet
When does OMP achieve support recovery with continuous dictionaries? CoRR (2019)
Clément Elvira, Rémi Gribonval, Charles Soussen, Cédric Herzet
OMP and Continuous Dictionaries: Is k-step Recovery Possible? ICASSP (2019)
Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic
Don't take it lightly: Phasing optical random projections with unknown operators. CoRR (2019)
Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval
Hyperspectral Image Denoising using Dictionary Learning. WHISPERS (2019)
Evan Byrne, Antoine Chatalic, Rémi Gribonval, Philip Schniter
Sketched Clustering via Hybrid Approximate Message Passing. IEEE Trans. Signal Process. 67 (17) (2019)
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR (2019)
Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval
Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising. EUSIPCO (2019)
Cássio Fraga Dantas, Rémi Gribonval
Regularization. IEEE Trans. Signal Process. 67 (14) (2019)
Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtländer
Approximation spaces of deep neural networks. CoRR (2019)
Ivan Dokmanic, Rémi Gribonval
Concentration of the Frobenius Norm of Generalized Matrix Inverses. SIAM J. Matrix Anal. Appl. 40 (1) (2019)
Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval
Differentially Private Compressive K-means. ICASSP (2019)
Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic
Don't take it lightly: Phasing optical random projections with unknown operators. NeurIPS (2019)
Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou
Equi-normalization of Neural Networks. ICLR (Poster) (2019)
Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou
Equi-normalization of Neural Networks. CoRR (2019)
Nicolas Keriven, Rémi Gribonval
Instance Optimal Decoding and the Restricted Isometry Property. CoRR (2018)
Marwa Chafii, Jacques Palicot, Rémi Gribonval, Faouzi Bader
Fourier Based Adaptive Waveform. ICT (2018)
Yann Traonmilin, Samuel Vaiter, Rémi Gribonval
Is the 1-norm the best convex sparse regularization? CoRR (2018)
Clément Gaultier, Nancy Bertin, Rémi Gribonval
Cascade: Channel-Aware Structured Cosparse Audio Declipper. ICASSP (2018)
Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval
Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions. LVA/ICA (2018)
Cássio Fraga Dantas, Rémi Gribonval
Faster and Still Safe: Combining Screening Techniques and Structured Dictionaries to Accelerate the Lasso. ICASSP (2018)
Ivan Dokmanic, Rémi Gribonval
Concentration of the Frobenius norms of pseudoinverses. CoRR (2018)
Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. IEEE Trans. Signal Inf. Process. over Networks 4 (2) (2018)
Antoine Chatalic, Rémi Gribonval, Nicolas Keriven
Large-Scale High-Dimensional Clustering with Fast Sketching. ICASSP (2018)
Cássio Fraga Dantas, Rémi Gribonval
regularization. CoRR (2018)
Marwa Chafii, Jacques Palicot, Rémi Gribonval, Faouzi Bader
Adaptive Wavelet Packet Modulation. IEEE Trans. Commun. 66 (7) (2018)
Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval
Learning a Complete Image Indexing Pipeline. CVPR (2018)
Helena Peic Tukuljac, Antoine Deleforge, Rémi Gribonval
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval. NeurIPS (2018)
Helena Peic Tukuljac, Antoine Deleforge, Rémi Gribonval
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval. CoRR (2018)
Hanna Becker, Laurent Albera, Pierre Comon, Jean-Claude Nunes, Rémi Gribonval, Julien Fleureau, Philippe Guillotel, Isabelle Merlet
SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity. NeuroImage 157 (2017)
Saman Noorzadeh, Pierre Maurel, Thomas Oberlin, Rémi Gribonval, Christian Barillot
Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints. MICCAI (1) (2017)
Ivan Dokmanic, Rémi Gribonval
Beyond Moore-Penrose Part II: The Sparse Pseudoinverse. CoRR (2017)
Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval
SUBIC: A supervised, structured binary code for image search. CoRR (2017)
Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
Analyzing the approximation error of the fast graph Fourier transform. ACSSC (2017)
Clément Gaultier, Nancy Bertin, Srdan Kitic, Rémi Gribonval
A modeling and algorithmic framework for (non)social (co)sparse audio restoration. CoRR (2017)
Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval
SuBiC: A Supervised, Structured Binary Code for Image Search. ICCV (2017)
Evan Byrne, Rémi Gribonval, Philip Schniter
Sketched Clustering via Hybrid Approximate Message Passing. CoRR (2017)
Gilles Puy, Mike E. Davies, Rémi Gribonval
. IEEE Trans. Inf. Theory 63 (4) (2017)
Ferran Argelaguet, Melanie Ducoffe, Anatole Lécuyer, Rémi Gribonval
Spatial and rotation invariant 3D gesture recognition based on sparse representation. 3DUI (2017)
Ivan Dokmanic, Rémi Gribonval
Beyond Moore-Penrose Part I: Generalized Inverses that Minimize Matrix Norms. CoRR (2017)
Clément Gaultier, Srdan Kitic, Nancy Bertin, Rémi Gribonval
AUDASCITY: AUdio denoising by adaptive social CosparsITY. EUSIPCO (2017)
Evan Byrne, Rémi Gribonval, Philip Schniter
Sketched clustering via hybrid approximate message passing. ACSSC (2017)
Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
Compressed sensing in Hilbert spaces. CoRR (2017)
Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
Analyzing the Approximation Error of the Fast Graph Fourier Transform. CoRR (2017)
Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
Compressive K-means. ICASSP (2017)
Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin
Compressive Statistical Learning with Random Feature Moments. CoRR (2017)
Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval
Learning a Complete Image Indexing Pipeline. CoRR (2017)
Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. CoRR (2016)
Himalaya Jain, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jégou
Approximate search with quantized sparse representations. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rémi Gribonval