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Laboratoire Mathématiques & Interactions J.A. Dieudonné
CNRS UMR 7351, Université Côte d’Azur
Parc Valrose 06108 NICE CEDEX 2, France
Email: samuel.vaiter@math.cnrs.fr
September 2021 – ongoing: CNRS researcher (Chargé de Recherche classe normale)
Laboratoire J.A. Dieudonné (LJAD, UMR 7351) – Centre National de la Recherche Scientifique
October 2015 – August 2021: CNRS researcher (Chargé de Recherche classe normale)
Institut de Mathématiques de Bourgogne (IMB, UMR 5584) – Centre National de la Recherche Scientifique
October 2014 – September 2015: Post-doctoral researcher
Centre de Mathématiques Appliquée (CMAP, UMR 7641) – École Polytechnique
Supervisor : Antonin Chambolle
Research area : Optimization on GPU for denoising, debluring and related problems
October 2011 – September 2014: Teaching assistant
Centre De Recherche en Mathématiques de la Décision (CEREMADE, UMR 7534) – Université Paris–Dauphine
April 2011 – September 2011: Master research intern
Centre De Recherche en Mathématiques de la Décision (CEREMADE, UMR 7534) – Université Paris–Dauphine
Supervisor : Gabriel Peyré
Title : Robust Sparse Analysis Regularization
2021: Habilitation in Applied Mathematics
Université de Bourgogne – Dijon, France
Title: From optimization to algorithmic differentiation: a graph detour.
Defense: January 14th, 2021.
Referees: Alexandre d'Aspremont (rev.), Francis Bach, Martin Burger (rev.), Hervé Cardot, Marco Cuturi, Alexandre Gramfort, Jérôme Malick (rev.), Joseph Salmon.
2011–2014: PhD in Applied Mathematics
Université Paris-Dauphine – Paris, France
Title: Low Complexity Regularizations of Inverse Problems.
Advisor: Gabriel Peyré.
Defense: July 10th, 2014.
Jury: Francis Bach, Emmanuel Candès (rev.), Antonin Chambolle, Albert Cohen, Charles Dossal, Jalal Fadili, Rémi Gribonval (rev.), Gabriel Peyré (adv.), Vincent Rivoirard.
2011: MSc in Applied Mathematics
École Normale Supérieure de Cachan – Université Paris-Descartes – Paris, France
2008: BSc in Computer Science
École Normale Supérieure de Lyon – Université Claude Bernard – Lyon, France
GraVa (2018-03-15 – 2023-12-31)
Variational Methods for Graph Signals, role: PI
Funding: Agence nationale de la recherche - Jeunes Chercheuses Jeunes Chercheurs , id: ANR-18-CE40-0005 (182480 €)
RAGA (2018-09-01 – 2021-08-31)
Régularisation sur Graphe, role: PI
Funding: ANER Région Bourgogne-Franche-Comté , id: ANER RAGA G048CVCRB-2018ZZ (345000 €)
DECONVIMMUNE (2018-10-01 – 2021-09-30)
Construction d'un nouveau modèle de déconvolution pour estimer les composants immunitaires cellulaires dans l'objectif d'une meilleure évaluation du pronostic des patients, role: Team leader
Funding: Plan Cancer INSERM , id: Plan Cancer 18CP134-00 (497000 €)
ABS (2017-02-01 – 2017-12-01)
Accélération et réduction du biais pour les modèles structurés, role: PI
Funding: CNRS Défi InFIniti, Mission pour l’interdisciplinarité (5000 €)
2023-07-25: ICML'2023, On the Robustness of Text Vectorizers. Congress center, Honolulu.
2023-06-08: Cérémonie remise olympiade de mathématiques, Optimiser : un concept clé en intelligence artificielle. Maison de l'intelligence artificielle, Sophia-Antipolis.
2023-04-03: Séminaire SPOT, Graph Neural Networks on Large Random Graphs. ENSHEEIT, Toulouse.
2022-12-13: SMAI-SIGMA annual day, Automatic differentiation: some old and new results. Université Pierre et Marie Curie, Paris.
2022-08-29/2022-08-30: École doctorale, Introduction to Graph Neural Networks. IRMA, Strasbourg.
2022-06-28: Mathematical Methods of Modern Statistic, Graph Neural Networks on Large Random Graphs. CIRM, Luminy.
2022-06-27: Séminaire DANTE, Hyper-Parameter Selection by Algorithmic Differentiation. ENS Lyon, Lyon.
2022-06-13: Journée de la SfdS, Graph Neural Networks on Large Random Graphs. Université Claude Bernard, Lyon.
2021-12-02: Séminaire AOC, Hyper-Parameter Selection by Algorithmic Differentiation. IRIT, Toulouse.
2021-09-28: Séminaire Proba-Stat, Hyper-Parameter Selection by Algorithmic Differentiation. LJAD, Nice.
2021-07-09: Séminaire MAASAI, Hyper-Parameter Selection by Algorithmic Differentiation. Inria, Sophia-Antipolis.
2021-02-25: Séminaire IOP, Hyper-Parameter Selection by Algorithmic Differentiation. Bordeaux, Virtual.
2020-11-12: Statistical Learning Seminars, Hyper-Parameter Selection by Algorithmic Differentiation. Virtual, Virtual.
2020-07-08: SIAM IS'20, Dual Extrapolation for Sparse Generalized Linear Models. Virtual, Virtual.
2020-01-16: Séminaire du GIPSA, A Sharp Oracle Inequality for Graph-Slope. GIPSA-Lab, Grenoble.
2019-09-18: FGS'19, The Geometry of Sparse Analysis Regularization. Université de Nice, Nice.
2019-07-16: ICIAM'19, CLEAR: Covariant Least-square Refitting. Universitat de València, Valencia.
2019-07-09: AIP'19, Finding optimal regularizations for low-complexity structures. Université de Grenoble, Saint-Martin-d'Hères.
2019-05-15: Séminaire IMVIA, Modèles de faible complexité et applications à l'imagerie. Centre Universitaire Condorcet, Le Creusot.
2018-06-25: Journées Proba-Stat, A Sharp Oracle Inequality for Graph-Slope. Université de Franche-Comté, Besançon.
2018-06-07: SIAM IS'18, Model Selection for Low Complexity Priors. Università di Bologna, Bologna.
2017-11-03: Journée de restitution Défi INFINITI, A Sharp Oracle Inequality for Graph-Slope. IHP, Paris.
2017-09-08: Optimization'17, Accelerated Alternating Descent Methods for Dykstra-like problems. Universidade de Lisboa, Lisbon.
2017-06-22: SPIE - Wavelets and Sparsity XVII, Model Selection for Low Complexity Priors. San Diego Convention Center, San Diego.
2017-06-29: Séminaire sisyphe, A Sharp Oracle Inequality for Graph-Slope. ENS Lyon, Lyon.
2017-06-22: Information & Inference Prize Day, Model Selection for Low Complexity Priors. Stanford University, Stanford.
2017-06-09: SMAI'17, Torwards Image Rehancement in Denoising Algorithms. Azureva, Ronces-les-Bains.
2017-04-11: Journée des maths, Échantillonage : de l'analogique au numérique. Collège Marcelle Pardé, Dijon.
2017-01-19: Dirksen/Rauhut research group seminar, Recovery Guarantees for Low Complexity Models. RWTH Aachen, Aachen.
2016-05-24: SIGMA'16, CLEAR: Covariant Least-square Refitting. CIRM, Marseille.
2016-07-04: AIMS'16, Degrees of Freedom for Partly Smooth Regularizers. Hyatt Regency, Orlando.
2016-05-24: SIAM IS'16, Torwards Image Rehancement in Denoising Algorithms. Hotel Old Town, Albuquerque.
2016-05-09: CANUM'16, Degrees of Freedom for Partly Smooth Regularizers. VVF d'Obernai, Dijon.
2016-04-29: Journée de l'IMB, Sparse Underdetermined Linear Equations. Université de Bourgogne, Dijon.
2016-04-01: XLIM, Low Complexity Regularizations of Inverse Problems. Université de Limoges, Limoges.
2016-02-09: Séminaire du CMAP, Low Complexity Regularizations of Inverse Problems. École Polytechnique, Palaiseau.
2015-11-16: Séminaire MIGS, A First Look at Sparsity & Proximal Methods. Université de Bourgogne, Dijon.
2015-10-07: PGMO Days, Low Complexity Regularizations of Inverse Problems. ENSTA, Palaiseau.
2015-10-07: Séminaire SPOC, Low Complexity Regularizations of Inverse Problems. Université de Bourgogne, Dijon.
2015-07-02: Séminaire du CMAP, Fast Distributed Total Variation. École Polytechnique, Palaiseau.
2015-05-29: AIP'15, Low Complexity Regularizations: a Localization Result. Helsinki, Stockholm.
2015-05-21: SMILE, A first look at proximal methods. École Normale Supérieure, Paris.
2015-03-30: NVIDIA-CDS meeting, Fast Distributed Total Variation. LAL, Orsay.
2015-01-16: GT Signal, Low Complexity Regularizations: a Localization Result. IRISA, Rennes.
2014-11-13: GT SMATI, Low Complexity Regularizations: a Localization Result. Telecom ParisTech, Paris.
2014-10-28: New Trends in Calculus of Variations, Low Complexity Regularizations of Inverse Problems. RICAM, Linz.
2014-08-27: iTWIST'14, Model Selection with Partly Smooth Functions. The Arsenal, Namur.
2014-06-17: Curves and Surfaces 8th, Low Complexity Regularizations of Inverse Problems. Arts & Métiers ParisTech, Paris.
2014-02-04: GDR ISIS, Low Complexity Models: Robustness and Sensivity. Telecom ParisTech, Paris.
2014-02-03: GT Image et Statistiques, Low Complexity Models: Robustness and Sensivity. Université Paris-Dauphine, Paris.
2013-10-24: GT Image, Recovery Guarantees for Low Complexity Models. ENSICAEN, Caen.
2013-10-17: GT Image, Recovery Guarantees for Low Complexity Models. Université de Bordeaux, Bordeaux.
2013-09-06: GRETSI'13, Régularisation de problèmes inverses : Analyse unifiée de la robustesse. Quartz, Brest.
2013-07-08: SPARS'13, Risk estimation for the Group Lasso. EPFL, Lausanne.
2013-01-23: Journée des nouveaux statisticiens, The Degrees of Freedom of the Group Lasso for a General Design. Université Paris-Dauphine, Paris.
2012-11-20: SIGMA'12, Robust Sparse Analysis Regularization. Centre International de Rencontres Mathématiques, Marseille.
2012-04-03: PICOF'12, Robust Sparse Analysis Regularization. École Polytechnique, Palaiseau.
2011-11-18: Journée "Adaptativité pour les images naturelles et les textures", Robust Sparse Analysis Regularization. Institut Henri Poincaré, Paris.
2011-09-12: GT Image, Robust Sparse Analysis Regularization. Université Paris-Dauphine, Paris.
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A. Bietti,
Q. Bertrand,
M. Blondel,
J. Bolte,
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H. Cardot,
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A. Chambolle,
B. Charlier,
M. Cordonnier,
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T. Dupré la Tour,
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