E-LIB Suche - Ergebnisse für: Gribonval, Remi

1

A theory of optimal convex regularization for low-dimension..:

Traonmilin, Yann ; Gribonval, Rémi ; Vaiter, Samuel
Information and Inference: A Journal of the IMA. 13 (2024) 2 - p. , 2024

Link: https://doi.org/10.1093/..

2

Temporal network compression via network hashing:

Vaudaine, Rémi ; Borgnat, Pierre ; Gonçalves, Paulo..
Applied Network Science. 9 (2024) 1 - p. , 2024

Link: https://doi.org/10.1007/..

3

Approximation Speed of Quantized Versus Unquantized ReLU Ne..:

Gonon, Antoine ; Brisebarre, Nicolas ; Gribonval, Rémi.
IEEE Transactions on Information Theory. 69 (2023) 6 - p. 3960-3977 , 2023

Link: https://doi.org/10.1109/..

4

Private quantiles estimation in the presence of atoms:

Lalanne, Clément ; Gastaud, Clément ; Grislain, Nicolas..
Information and Inference: A Journal of the IMA. 12 (2023) 3 - p. 2197-2223 , 2023

Link: https://doi.org/10.1093/..

5

Efficient Identification of Butterfly Sparse Matrix Factori..:

Zheng, Léon ; Riccietti, Elisa ; Gribonval, Rémi
SIAM Journal on Mathematics of Data Science. 5 (2023) 1 - p. 22-49 , 2023

Link: https://doi.org/10.1137/..

6

Spurious Valleys, NP-Hardness, and Tractability of Sparse M..:

Le, Quoc-Tung ; Riccietti, Elisa ; Gribonval, Remi
SIAM Journal on Matrix Analysis and Applications. 44 (2023) 2 - p. 503-529 , 2023

Link: https://doi.org/10.1137/..

7

Nonsmooth Convex Optimization to Estimate the Covid-19 Repr..:

Pascal, Barbara ; Abry, Patrice ; Pustelnik, Nelly...
IEEE Transactions on Signal Processing. 70 (2022) - p. 2859-2868 , 2022

Link: https://doi.org/10.1109/..

8

Fast Learning of Fast Transforms, with Guarantees:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Le, Quoc-Tung ; Zheng, Leon ; Riccietti, Elisa. - p. 3348-3352 , 2022

Link: https://doi.org/10.1109/..

9

An Embedding of ReLU Networks and an Analysis of Their Iden..:

Stock, Pierre ; Gribonval, Rémi
Constructive Approximation. 57 (2022) 2 - p. 853-899 , 2022

Link: https://doi.org/10.1007/..

10

Statistical learning guarantees for compressive clustering ..:

Gribonval, Rémi ; Blanchard, Gilles ; Keriven, Nicolas.
Mathematical Statistics and Learning. 3 (2021) 2 - p. 165-257 , 2021

Link: https://doi.org/10.4171/..

11

On Bayesian estimation and proximity operators:

Gribonval, Rémi ; Nikolova, Mila
Applied and Computational Harmonic Analysis. 50 (2021) - p. 49-72 , 2021

Link: https://doi.org/10.1016/..

12

Sparsity-Based Audio Declipping Methods: Selected Overview,..:

Gaultier, Clement ; Kitic, Srdan ; Gribonval, Remi.
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29 (2021) - p. 1174-1187 , 2021

Link: https://doi.org/10.1109/..

13

Sketching Data Sets for Large-Scale Learning: Keeping only ..:

Gribonval, Remi ; Chatalic, Antoine ; Keriven, Nicolas...
IEEE Signal Processing Magazine. 38 (2021) 5 - p. 12-36 , 2021

Link: https://doi.org/10.1109/..

14

Graph Diffusion Wasserstein Distances:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Barbe, Amélie ; Sebban, Marc ; Gonçalves, Paulo.. - p. 577-592 , 2021

Link: https://doi.org/10.1007/..

15

Approximation Spaces of Deep Neural Networks:

Gribonval, Rémi ; Kutyniok, Gitta ; Nielsen, Morten.
Constructive Approximation. 55 (2021) 1 - p. 259-367 , 2021

Link: https://doi.org/10.1007/..