Zobrazeno 1 - 10
of 273
pro vyhledávání: '"Rémi Gribonval"'
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-19 (2024)
Abstract Pairwise temporal interactions between entities can be represented as temporal networks, which code the propagation of processes such as epidemic spreading or information cascades, evolving on top of them. The largest outcome of these proces
Externí odkaz:
https://doaj.org/article/1748671e14d2483bb36305150c37a966
DNA replication stands as one of the fundamental biological processes crucial for cellular functioning. Recent experimental developments enable the study of replication dynamics at the single-molecule level for complete genomes, facilitating a deeper
Externí odkaz:
http://arxiv.org/abs/2404.00824
Autor:
Patrice Abry, Nelly Pustelnik, Stéphane Roux, Pablo Jensen, Patrick Flandrin, Rémi Gribonval, Charles-Gérard Lucas, Éric Guichard, Pierre Borgnat, Nicolas Garnier
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0237901 (2020)
Among the different indicators that quantify the spread of an epidemic such as the on-going COVID-19, stands first the reproduction number which measures how many people can be contaminated by an infected person. In order to permit the monitoring of
Externí odkaz:
https://doaj.org/article/5f613de7132b452e98ecee21cb0fc523
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2020)
Measures of brain activity through functional magnetic resonance imaging (fMRI) or electroencephalography (EEG), two complementary modalities, are ground solutions in the context of neurofeedback (NF) mechanisms for brain rehabilitation protocols. Wh
Externí odkaz:
https://doaj.org/article/b5d1e8c28b644a62955eff5b01f7089b
Publikováno v:
ICASSP 2022-IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP 2022-IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore. ⟨10.1109/ICASSP43922.2022.9747791⟩
HAL
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore
ICASSP 2022-IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore. ⟨10.1109/ICASSP43922.2022.9747791⟩
HAL
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore
This paper is associated to code for reproducible research available at https://hal.inria.fr/hal-03552956; International audience; Approximating a matrix by a product of few sparse factors whose supports possess the butterfly structure, which is comm
Publikováno v:
SIAM Journal on Mathematics of Data Science
SIAM Journal on Mathematics of Data Science, In press
SIAM Journal on Mathematics of Data Science, In press
Many well-known matrices $\mathbf{Z}$ are associated to fast transforms corresponding to factorizations of the form $\mathbf{Z} = \mathbf{X}^{(J)} \ldots \mathbf{X}^{(1)} $, where each factor $ \mathbf{X}^{(\ell)} $ is sparse and possibly structured.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d565ff52fb35aea552fd50d4e5572e4
https://inria.hal.science/hal-03362626
https://inria.hal.science/hal-03362626
Publikováno v:
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory, 2023, 69 (6), pp.3960-3977. ⟨10.1109/TIT.2023.3240360⟩
IEEE Transactions on Information Theory, 2023, 69 (6), pp.3960-3977. ⟨10.1109/TIT.2023.3240360⟩
International audience; We deal with two complementary questions about approximation properties of ReLU networks. First, we study how the uniform quantization of ReLU networks with real-valued weights impacts their approximation properties. We establ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46a5b725537831ccc31acfe37b1ab98b
Autor:
Philip Schniter, Laurent Jacques, Antoine Chatalic, Rémi Gribonval, Nicolas Keriven, Vincent Schellekens
Publikováno v:
IEEE Signal Processing Magazine
IEEE Signal Processing Magazine, 2021, 38 (5), pp.12-36. ⟨10.1109/MSP.2021.3092574⟩
IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2021, 38 (5), pp.12-36. ⟨10.1109/MSP.2021.3092574⟩
IEEE Signal Processing Magazine, 2021, 38 (5), pp.12-36. ⟨10.1109/MSP.2021.3092574⟩
IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2021, 38 (5), pp.12-36. ⟨10.1109/MSP.2021.3092574⟩
For an extended version of this article that contains additional references and more in-depth discussions on a variety of topics, see the long version published on HAL (https://hal.inria.fr/hal-02909766) and arXiv (2008.01839). See also the associate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::662fd4da8f713118436926895c3024df
https://inria.hal.science/hal-03350599/file/SPM_paper.pdf
https://inria.hal.science/hal-03350599/file/SPM_paper.pdf
Autor:
Rémi Gribonval, Quoc-Tung Le
Publikováno v:
ICASSP 2021-IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP 2021-IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, Ontario, Canada. pp.1-5
ICASSP 2021-IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, Ontario, Canada. pp.1-5, ⟨10.1109/ICASSP39728.2021.9414238⟩
ICASSP
ICASSP 2021-IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, Ontario, Canada. pp.1-5
ICASSP 2021-IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, Ontario, Canada. pp.1-5, ⟨10.1109/ICASSP39728.2021.9414238⟩
ICASSP
Copyright 2021 IEEE. Published in ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), scheduled for 6-11 June 2021 in Toronto, Ontario, Canada. Personal use of this material is permitted. However, per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42b2220c53976277be427d0ab95373f2
https://hal.inria.fr/hal-03132013/document
https://hal.inria.fr/hal-03132013/document
Autor:
Rémi Gribonval, Cassio Fraga Dantas
Publikováno v:
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, 2019, 67 (14), pp.3756-3769. ⟨10.1109/TSP.2019.2919404⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2019, 67 (14), pp.3756-3769. ⟨10.1109/TSP.2019.2919404⟩
IEEE Transactions on Signal Processing, 2019, 67 (14), pp.3756-3769. ⟨10.1109/TSP.2019.2919404⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2019, 67 (14), pp.3756-3769. ⟨10.1109/TSP.2019.2919404⟩
International audience; In this paper, we propose a way to combine two acceleration techniques for the L1-regularized least squares problem: safe screening tests, which allow to eliminate useless dictionary atoms; and the use of fast structured appro