Publications

Journal Papers / Preprint

 

  • Nicolas Keriven. Sketching for Large-Scale Learning of Mixture Models. PhD Thesis. [PDF]
  • Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin. Compressive Statistical Learning with Random Feature Moments. arXiv:1706.07180 [PDF]
  • Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez. Sketching for Large-Scale Learning of Mixture Models. To appear in Information and Inference: a Journal of the IMA. arXiv:1606.02838 [PDF]
  • 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]

 

Conference Proceedings

 

  • Nicolas Keriven, Rémi Gribonval, Gilles Blanchard, Yann Traonmilinm. Random Moments for Sketched Mixture Learning. (abstract) In SPARS, June 2017. [PDF, slides]
    • Best Student Paper Award, SPARS 2017
  • Yann Traonmilin, Nicolas Keriven, Rémi Gribonval, Gilles Blanchard. Spikes super-resolution with random Fourier sampling. (abstract) In SPARS, June 2017. [PDF, slides]
  • Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval. Compressive K-means. In ICASSP, March 2017. [PDF]
  • Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez. Sketching for Large-Scale Learning of Mixture Models. In ICASSP, March 2016. [PDF]
  • Nicolas Keriven, Ken O’Hanlon, Mark Plumbley. Structured sparsity using backwards elimination for automatic music transcription. In MLSP, September 2013. [PDF]

 

Talks, Presentations

 

  • Thesis defense [PDF]
  • Sketching for Large-Scale Learning of Mixture Models. January – February 2017. [PDF]
    • Thesis pre-defense, IRISA, Rennes
    • Séminaires de Statistiques de l’IRMAR, IRMAR, Rennes
    • IdCOM Seminars, University of Edinburgh, Edinburgh
    • Journée Classification MimeTIC, IRISA, Rennes.
  • Sketching for Large-Scale Learning of Mixture Models. At Ecole d’été Peyresq, Peyresq, July 2016. [PDF]
  • Sketching for Large-Scale Learning of Mixture Models. At Journée du GdR Isis: Algorithmes gloutons pour l’optimisation sous contrainte de parcimonie, Paris, June 2016. [PDF]
  • Sketching for Large-Scale Learning of Mixture Models. At ICASSP, Shanghaï, March 2016.
  • Sketching for Large-Scale Learning of Mixture Models. At International Matheon Conference on Compressed Sensing and its Applications, Berlin, December 2015.
  • Compressive Gaussian Mixture Estimation by Orthogonal Matching Pursuit with Replacement. At SPARS, Cambridge, July 2015.