Samuel Vaiter

Research Scientist (CR)

CNRS

I am a CNRS research scientist (Chargé de Recherche) in Applied Mathematics at IMB (Univ. de Bourgogne, France). I am a member of SPOC research team (Statistics, Probability, Optimization and Control). Previously, I was a postdoc at CMAP, the applied math institute of École Polytechnique, under the supervision of A. Chambolle during the academic year 2014-2015. Before that, I did my PhD at CEREMADE (Univ. Paris-Dauphine) under the supervision of G. Peyré.

Interests

Machine learning
Graph signal processing
Image processing
Variational methods

Education

PhD in Applied Mathematics, 2014

Univ. Paris-Dauphine
MSc in Applied Mathematics, 2011

ENS Cachan / Univ. Paris-Descartes
BSc in Computer Science, 2008

ENS Lyon / Univ. Claude-Bernard

PhD position available!

Machine Learning for Graph Signal Processing

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

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Recent Publications

Mathurin Massias, SV, Alexandre Gramfort, Joseph Salmon . Dual Extrapolation for Sparse Generalized Linear Models. arXiv e-prints, 2019.

arXiv

Xavier Dupuis, SV . The Geometry of Sparse Analysis Regularization. arXiv e-prints, 2019.

HAL arXiv

Abdessamad Barbara, Abderrahim Jourani, SV . Maximal solutions of sparse analysis regularization. J. Optim. Theory. Appl., 2019.

PDF DOI arXiv

Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, SV . 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

Yann Traonmilin, SV, Rémi Gribonval . 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

See all publications

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
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