Nicolas KERIVEN
Chargé de Recherche CNRS
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : Nicolas.Keriven@gipsa-lab.grenoble-inp.fr


Domaine Universitaire - BP46
38402 Saint Martin d'Hères

Bureau B372
Tél.33 (0)4 76 57 43 52
Fax : 33 (0)4 76 82 63 88
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling

Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin. Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling. 2020. ⟨ hal-02536818 ⟩

Compressive Statistical Learning with Random Feature Moments

Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin. Compressive Statistical Learning with Random Feature Moments. 2020. ⟨ hal-01544609v3 ⟩

The geometry of off-the-grid compressed sensing

Clarice Poon, Nicolas Keriven, Gabriel Peyré. The geometry of off-the-grid compressed sensing. 2020. ⟨ hal-02484957 ⟩

Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model

Nicolas Keriven, Samuel Vaiter. Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model. 2020. ⟨ hal-02484970 ⟩

Sketching for Large-Scale Learning of Mixture Models

Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez. Sketching for Large-Scale Learning of Mixture Models. Information and Inference, Oxford University Press (OUP), 2018, 7 (3), pp.447-508. ⟨ 10.1093/imaiai/iax015 ⟩. ⟨ hal-01329195v2 ⟩

NEWMA: a new method for scalable model-free online change-point detection

Nicolas Keriven, Damien Garreau, Iacopo Poli. NEWMA: a new method for scalable model-free online change-point detection. 2018. ⟨ hal-02484988 ⟩

Compressive K-means

Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval. Compressive K-means. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. ⟨ hal-01386077v4 ⟩

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal