SAMUEL VAITER

PUBLICATIONS  ABOUT (CV)

Positions Education Grants Organized events Prizes Talks Collaborators

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

Positions

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

Education

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

Grants

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 €)

Organized events

2022-11-07 (5 days): Workshop Machine Learning and Signal Processing on Graphs at Centre International de Rencontres Mathématiques in Marseille, France (around 60 ppl).
2022-10-11 (4 days): Workshop Workshop GdR Mathematics of Optimization and Applications at Université Côte d'Azur in Nice, France (around 40 ppl).
2020-03-09 (5 days): Workshop Optimization for Machine Learning at Centre International de Rencontres Mathématiques in Marseille, France (around 60 ppl).
2019-05-02 (2 days): Workshop Graph signals : learning and optimization perspectives at Université de Montpellier in Montpellier, France (around 60 ppl).
2018-08-29 (3 days): Conference Processus et Échantillonnage at Université de Bourgogne in Dijon, France (around 200 ppl).
2018-05-03 (1 day): Workshop Parcimonie et applications at Université de Bordeaux in Bordeaux, France (around 30 ppl).
2015-12-02 (3 days): Workshop Journées du GdR MOA 2015 at Université de Bourgogne in Dijon, France (around 50 ppl).

Prizes

2017: Inform. Inf. prize by Institute of Mathematics and its Applications
2015: PhD thesis award (Prix Jeunes Chercheurs) by Fondation Dauphine
2015: PhD thesis award by Programme Gaspard Monge (PGMO), Fondation Hadamard

Talks

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.

Collaborators

P. Ablin, P. Abry, P. Bannier, A. Barbara, P. Bellec, A. Bietti, Q. Bertrand, M. Blondel, J. Bolte, H. Cardot, A. Chambolle, B. Charlier, M. Dagréou, C. Dantas, C. Deledalle, C. Dossal, T. Dupré la Tour, X. Dupuis, G. Durif, J. Fadili, H. Ghanem, M. Golbabaee, A. Gramfort, R. Gribonval, A. Jourani, N. Keriven, Q. Klopfenstein, E. Lai, J. Larsson, T. Lefort, M. Malezieu, M. Massias, T. Moreau, B. Moufad, B. Nguyen, N. Papadakis, B. Pascal, E. Pauwels, N. Pustelnik, G. Peyré, A. Rakotomamonjy, Z. Ramzie, J. Salmon, P. Tan, Y. Traonmilin,