PhD position starting September 2019

Machine Learning for Graph Signal Processing

in co-supervision with J. Salmon (Univ. Montpellier)

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Recent Publications

. Maximal solutions of sparse analysis regularization. J. Optim. Theory. Appl., 2019.

PDF DOI arXiv

. Refitting solutions promoted by ℓ12 sparse analysis regularization with block penalties. International Conference on Scale Space and Variational Methods in Computer Vision (to appear), 2019.

arXiv

. Is the 1-norm the best convex sparse regularization?. international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST’18), 2018.

PDF arXiv

. Model Consistency of Partly Smooth Regularizers. IEEE Trans. Inform. Theory, 2018.

PDF DOI arXiv

Contact

  • samuel.vaiter@u-bourgogne.fr
  • Institut de Mathématiques de Bourgogne,
    Université de Bourgogne,
    UFR Sciences et Techniques,
    Faculté des Sciences Mirandes, Aile A,
    9 avenue Alain Savary,
    21078 Dijon Cedex
  • DM Me