Invited talks

Symposia, mini-courses and conferences without proceedings

  • Invited talk ``Texture segmentation based on fractal attributes using convex functional minimization with generalized Stein formalism for automated regularization parameter selection’’ (slides)
    B. Pascal, N. Pustelnik, P. Abry, V. Vidal, and S. Vaiter,
    Summer School on Harmonic and Multifractal Analyses: from Mathematics to Quantitative Neuroscience, Centre de Recherches Mathématiques, Montréal, Canada, July 3-14 2023.
  • Invited talk ``Proximal schemes for the estimation of the reproduction number of Covid19 pandemic: from convex optimization to Monte Carlo sampling’’ (slides)
    B. Pascal, G. Fort, N. Pustelnik, and P. Abry,
    Workshop on Variational approaches for signal and image processing, Laboratoire de Physique, ENS Lyon, Lyon, France, November 18 2022.
  • Invited talk ``Texture segmentation based on fractal attributes using convex functional minimization with generalized Stein formalism for automated regularization parameter selection’’ (slides)
    B. Pascal, N. Pustelnik, S. Vaiter and P. Abry,
    French-Italian workshop on the Mathematics of Imaging, Vision and their Applications MIA-MIVA, Sophia-Antiplois, France, September 12-14 2022.
  • Mini-course ``Point processes and spatial statistics in time-frequency analysis’’, (slides, codes)
    B. Pascal, and R. Bardenet,
    Stochastic Geometry Days, Dunkerque, France, November 15-19 2021.
  • Poster presentation ``Joint estimation of local variance and local regularity for texture segmentation’’ (poster)
    B. Pascal, N. Pustelnik, and P. Abry,
    Curves and Surfaces, Arcachon, France, June 28th au 4 July 4th 2018.
  • Mini-symposium presentation ``Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation’’ (slides)
    B. Pascal, N. Pustelnik, and P. Abry,
    SIAM IS, Bologna, Italy, June 5-8 2018.

Invited seminars

  1. Probability and statistics seminar, Institut Élie Cartan de Lorraine (IECL), Nancy, France
    ``The Kravchuk transform: a novel covariant representation for discrete signals amenable to zero-based detection tests’’ (slides)
    June 8th, 2023. Organizers: Ulysse Herbach, Edouard Strickler.
  2. Journées ANR Mistic, Mathématiques Appliquées à Paris 5 (MISTIC), France
    ``Texture segmentation based on fractal attributes’’ (slides)
    April 7th, 2023. Organizers: Jonathan Vacher & Mariem Abaach.
  3. Séminaire Données et Aléatoire Théorie & Applications, Laboratoire Jean Kuntzmann (LJK), Grenoble, France
    ``Proximal schemes for the estimation of the reproduction number of Covid19: From convex optimization to Monte Carlo sampling’’ (slides)
    April 6th, 2023. Organizer: Kévin Polisano.
  4. Applied mathematics seminar, Laboratoire de Mathématiques Jean Leray (LMJL), Nantes, France
    ``The Kravchuk transform: a novel covariant representation for discrete signals amenable to zero-based detection tests’’ (slides)
    November 29th, 2022. Organizer: Aymeric Stamm.
  5. Probability, Statistics and Applications seminar, Laboratoire de Mathématiques et Applications (LMA), Poitiers, France
    ``The Kravchuk transform: a novel covariant representation for discrete signals amenable to zero-based detection tests’’ (slides)
    November 24th, 2022. Organizers: Farida Enikeeva, Sandrine Dallaporta.
  6. Probability and statistics team seminar, Laboratoire J.-A. Dieudonné (LJAD), Nice, France
    ``The Kravchuk transform: a novel covariant representation for discrete signals amenable to zero-based detection tests’’ (slides)
    October 18th, 2022. Organizer: Damien Garreau.
  7. Machine Learning and Signal Processing seminar, Laboratoire de Physique de l’ENS Lyon (LP-ENSL), Lyon, France
    ``Generalized time-frequency transforms and their zeros’’ (slides)
    September 28th, 2022. Organizer: Titouan Vayer.
  8. Seminar of SIMUL team, Centre de Recherche en Automatique de Nancy (CRAN), France
    ``The Kravchuk transform: a novel covariant representation for discrete signals amenable to zero-based detection tests’’ (slides)
    July 12th, 2022. Organizer: Julien Flamant.
  9. Signal and Machine Learning seminar, Institut de Mathématiques de Marseille (I2M), France
    ``The Kravchuk transform: a novel covariant representation for discrete signals amenable to zero-based detection tests’’ (slides)
    March 18, 2022. Organizer: Caroline Chaux.
  10. Workshop on Point Processes and Applications, CRIStAL & Laboratoire Paul Painlevé, University of Lille
    ``The Kravchuk transform: a novel covariant representation for discrete signals amenable to zero-based detection tests’’ (slides)
    March 11th, 2022. Organizers: Mylène Maida et Michaël Fanuel.
  11. Groupe de travail Image, Mathématiques Appliquées à Paris 5 (MAP5), Université de Paris
    ``Analyse de données non stationnaires : représentations, théorie, algorithmes et applications.’’ (slides)
    March 7th, 2022. Organizer: Rémy Abergel.
  12. Seminar of the Géométrie, Apprentissage, Information, Algorithmes (GAIA) pole, GISPA-Lab, Grenoble
    ``Processing nonstationary data: representations, theory, algorithms and application’’ (slides)
    December 16th, 2021. Organizer: Guillaume Becq.
  13. Seminar of the Signal IMage et Son (SIMS) team, LS2N, Nantes, France ``Processing nonstationary data: representations, theory, algorithms and applications’’ (slides)
    December 10th, 2021. Organizer: Clément Huneau.
  14. Séminaire de Statistique et Optimisation, Institut de Mathématiques de Toulouse
    ``Texture segmentation based on fractal attributes using convex functional minimization with generalized Stein formalism for automated regularization parameter selection’’ (slides)
    October 12th, 2021. Organizers: Mélisande Albert, Adrien Mazoyer and Pierre Weiss.
  15. Workshop on Point Processes and Applications, CRIStAL & Laboratoire Paul Painlevé, University of Lille, France
    ``A link between Majorana Stellar representation of pure spin states and Coulomb gas on the sphere” (slides)
    May 28th, 2021. Organizer: Mylène Maida.
  16. Séminaire Cristolien d’Analyse Multifractale (SCAM), Centre de Mathématiques, Créteil
    ``Segmentation de textures à partir d’attributs fractals par minimisation de fonctionnelle, avec réglage automatique des hyperparamètres’’ (slides)
    February 4th, 2021. Organizers: Stéphane Jaffard and Stéphane Seuret.
  17. Séminaire Signal et Image, Institut de Mathématiques de Marseille (I2M)
    ``Texture segmentation based on fractal attributes using convex functional minimization with generalized Stein formalism for automated regularization parameter selection.’’ (slides)
    November 27th, 2020. Organizer: Caroline Chaux.
  18. Séminaire Image, Optimisation et Probabilités (IOP), Institut de Mathématiques de Bordeaux
    ``How scale-free texture segmentation turns out to be a strongly convex optimization problem?’’ (slides)
    March 12th, 2020. Organizers: Arthur Leclaire and Camille Male.
  19. Séminaire de l’équipe SIGMA, CRIStAL Lille
    ``How scale-free texture segmentation turns out to be a strongly convex optimization problem?’’ (slides)
    March 3rd, 2020. Organizers: Pierre-Antoine Thouvenin and Vincent Itier.
  20. Image and Signal Processing Seminars, ICTEAM, Université Catholique de Louvain
    ``How scale-free texture segmentation turns out to be a strongly convex optimization problem?’’ (slides)
    December 10th, 2020. Organizer: Laurent Jacques.

Presentation in research groups

  1. Presentation of the paper ``Algorithmes proximaux rapides déroulés pour l’analyse d’images fractales homogènes par morceaux” (hal,slides)
    Machine Learning reading group of SIMS team
    December 6th, 2022
  2. Presentation of the paper ``Quasi Monte Carlo Time-Frequency Analysis” (arXiv,slides)
    Reading group of the research team of R.Bardenet
    May 12th, 2021
  3. Presentation of the paper ``Free fermions and α-determinantal processes” (arXiv,slides)
    Reading group of the research team of R.Bardenet
    November 12th, 2020