Rémi Gribonval

Rémi Gribonval

École Normale Supérieure de Lyon

H-index: 66

Europe-France

About Rémi Gribonval

Rémi Gribonval, With an exceptional h-index of 66 and a recent h-index of 38 (since 2020), a distinguished researcher at École Normale Supérieure de Lyon, specializes in the field of signal processing, machine learning, sparsity, inverse problems, dimension reduction.

His recent articles reflect a diverse array of research interests and contributions to the field:

Revisiting RIP Guarantees for Sketching Operators on Mixture Models

Abide by the law and follow the flow: Conservation laws for gradient flows

Does a sparse ReLU network training problem always admit an optimum?

Temporal network compression via network hashing

About the Cost of Global Privacy in Density Estimation

Code for reproducible research: Does a sparse ReLU network training problem always admit an optimum?

Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning

Butterfly factorization by algorithmic identification of rank-one blocks

Rémi Gribonval Information

University

Position

Inria &

Citations(all)

20751

Citations(since 2020)

8219

Cited By

16228

hIndex(all)

66

hIndex(since 2020)

38

i10Index(all)

192

i10Index(since 2020)

112

Email

University Profile Page

École Normale Supérieure de Lyon

Google Scholar

View Google Scholar Profile

Rémi Gribonval Skills & Research Interests

signal processing

machine learning

sparsity

inverse problems

dimension reduction

Top articles of Rémi Gribonval

Title

Journal

Author(s)

Publication Date

Revisiting RIP Guarantees for Sketching Operators on Mixture Models

arXiv preprint arXiv:2312.05573

Ayoub Belhadji

Rémi Gribonval

2023/12/9

Abide by the law and follow the flow: Conservation laws for gradient flows

Advances in Neural Information Processing Systems

Sibylle Marcotte

Rémi Gribonval

Gabriel Peyré

2024/2/13

Does a sparse ReLU network training problem always admit an optimum?

Advances in Neural Information Processing Systems

Quoc-Tung Le

Remi Gribonval

Elisa Riccietti

2024/2/13

Temporal network compression via network hashing

Applied Network Science

Rémi Vaudaine

Pierre Borgnat

Paulo Gonçalves

Rémi Gribonval

Márton Karsai

2024/1/17

About the Cost of Global Privacy in Density Estimation

arXiv preprint arXiv:2306.14535

Clément Lalanne

Aurélien Garivier

Rémi Gribonval

2023/6/26

Code for reproducible research: Does a sparse ReLU network training problem always admit an optimum?

Quoc-Tung Le

Elisa Riccietti

Rémi Gribonval

2023/10/31

Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning

Journal of Machine Learning Research

Titouan Vayer

Rémi Gribonval

2023

Butterfly factorization by algorithmic identification of rank-one blocks

arXiv preprint arXiv:2307.00820

Léon Zheng

Gilles Puy

Elisa Riccietti

Patrick Pérez

Rémi Gribonval

2023/7/3

Sketch and shift: a robust decoder for compressive clustering

arXiv preprint arXiv:2312.09940

Ayoub Belhadji

Rémi Gribonval

2023/12/15

Optimal quantization of rank-one matrices in floating-point arithmetic---with applications to butterfly factorizations

Rémi Gribonval

Theo Mary

Elisa Riccietti

2023/6/12

A path-norm toolkit for modern networks: consequences, promises and challenges

arXiv preprint arXiv:2310.01225

Antoine Gonon

Nicolas Brisebarre

Elisa Riccietti

Rémi Gribonval

2023/10/2

Private statistical estimation of many quantiles

Clément Lalanne

Aurélien Garivier

Rémi Gribonval

2023/7/3

Code for the article temporal network compression via network hashing

Rémi Vaudaine

Rémi Gribonval

Paulo Gonçalves

Pierre Borgnat

Márton Karsai

2023/12/7

Private quantiles estimation in the presence of atoms

Information and Inference: A Journal of the IMA

Clément Lalanne

Clément Gastaud

Nicolas Grislain

Aurélien Garivier

Rémi Gribonval

2023/9

Scaling is all you need: quantization of butterfly matrix products via optimal rank-one quantization

Rémi Gribonval

Theo Mary

Elisa Riccietti

2023/6/30

Code for reproducible research for the article" OPTIMAL QUANTIZATION OF RANK-ONE MATRICES IN FLOATING-POINT ARITHMETIC—WITH APPLICATIONS TO BUTTERFLY FACTORIZATIONS"

Rémi Gribonval

Elisa Riccietti

Théo Mary

2023/6/9

Code for reproducible research. Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows

Sibylle Marcotte

Rémi Gribonval

Gabriel Peyré

2023/11/8

Un algorithme matriciel pour le calcul des composantes connectées d'un réseau complexe temporel

Rémi Vaudaine

Pierre Borgnat

Paulo Gonçalves

Rémi Gribonval

Marton Karsai

2023/8/28

Spurious valleys, NP-hardness, and tractability of sparse matrix factorization with fixed support

SIAM Journal on Matrix Analysis and Applications

Quoc-Tung Le

Elisa Riccietti

Rémi Gribonval

2023/6/30

Efficient identification of butterfly sparse matrix factorizations

SIAM Journal on Mathematics of Data Science

Léon Zheng

Elisa Riccietti

Rémi Gribonval

2023/3/31

See List of Professors in Rémi Gribonval University(École Normale Supérieure de Lyon)