Posts by Collection

conference

Nicolas Keriven, Ken O’Hanlon, Mark Plumbley. Structured sparsity using backwards elimination for automatic music transcription . In MLSP, 2013. Pdf

Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez. Sketching for Large-Scale Learning of Mixture Model. . In ICASSP, 2016. Pdf, Code

Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval. Compressive k-means . In ICASSP, 2017. Pdf

Nicolas Keriven, Antoine Deleforge, Antoine Liutkus. Blind Source Separation Using Mixtures of Alpha-Stable Distributions . In ICASSP, 2018. Pdf, Code

Antoine Chatalic, Rémi Gribonval, Nicolas Keriven. Large-Scale High-Dimensional Clustering with Fast Sketching . In ICASSP, 2018. Pdf

Nicolas Keriven, Rémi Gribonval. Instance Optimal Decoding and the Restricted Isometry Property . In NCMIP, 2018. Pdf

journal

Ken O’Hanlon, Hidehisa Nagano, Nicolas Keriven, Mark Plumbley. Non-negative group sparsity with subspace note modelling for polyphonic transcription . In IEEE/ACM Transactions on Audio, Speech, and Language Processing volume 24, issue 3, pp. 530-542, 2016. Pdf

Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez. Sketching for Large-Scale Learning of Mixture Models . In Information and Inference: a Journal of the IMA, 2017. Pdf

portfolio

Portfolio item number 1 .

Short description of portfolio item number 1

Portfolio item number 2 .

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preprint

Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin. Compressive Statistical Learning with Random Feature Moments . In arXiv Preprint, 2017. Pdf

Clarice Poon, Nicolas Keriven, Gabriel Peyré. A Dual Certificates Analysis of Compressive Off-the-Grid Recovery . In Preprint, 2018. Pdf

Nicolas Keriven, Damien Garreau, Iacopo Poli. NEWMA: a new method for scalable model-free online change-point detection . In arXiv Preprint, 2018. Pdf

talks

Compressive Gaussian Mixture Estimation by Orthogonal Matching Pursuit with Replacement . SPARS, Jul. 2015, Cambridge.

Sketching for Large-Scale Learning of Mixture model . International Matheon Conference on Compressed Sensing and its Applications, Dec. 2015, Berlin.

Sketching for Large-Scale Learning of Mixture model . ICASSP, Shanghaï, Mar. 2016.

Sketching for Large-Scale Learning of Mixture model . Journée du GdR Isis: Algorithmes gloutons pour l'optimisation sous contrainte de parcimonie, Paris, Jun. 2016. Slides

Sketching for Large-Scale Learning of Mixture model . Ecole d'été Peyresq, Peyresq, Jul. 2016. Slides

Sketching for Large-Scale Learning of Mixture model . Jan. 2017 - Mar. 2017 Slides
- Thesis pre-defense, IRISA, Rennes
- Séminaires de Statistiques de l’IRMAR, IRMAR, Rennes
- IdCOM Seminars, University of Edinburgh, Edinburgh
- Journée Classification MimeTIC, IRISA, Rennes.

Random Moments for Sketched Mixture Learning . SPARS, Jun. 2017, Lisbon. Slides, Abstract
  • Best Student Paper Award, SPARS 2017.

Spike super-resolution with random Fourier sampling . SPARS, Jun. 2017, Lisbon. Slides, Abstract

Sketching for Large-Scale Learning of Mixture model . Nov. 2017 - Dec 2017. Slides
- Gatsby Computational Neuroscience UCL, London
- CFM-ENS Data Science chair Annual Conference, ENS, Paris
- The Future of Random Projections : a mini-workshop, IPGG, Paris. Video

Sketched Learning from Random Features Moments . Telecom-Paristech, Apr. 2018, Paris. Slides

A Dual Certificate Analysis of Compressive Off-the-grid Recovery . Journee thématique du GDR MIA: Parcimonie et applications, IMB, May 2018, Talence, France. Slides

NEWMA: a new method for scalable model-free online change-point detection . Séminaire SPOC, June 2018, Dijon, France. Slides

Sketched Learning from Random Feature Moments . International Symposium on Math. Programming (ISMP), July 2018, Bordeaux, France. Slides

teaching

Teaching experience 1

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This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

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This is a description of a teaching experience. You can use markdown like any other post.