Conference papers

  • I. Ayadi and G. Turinici, Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent, 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 8220-8227, doi: 10.1109/ICPR48806.2021.9412831.
  • I. Ayadi, F. Bouchard and F. Pascal, Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10096222.
  • I. Ayadi, F. Bouchard and F. Pascal, 𝑡-WDA: A novel Discriminant Analysis applied to EEG classification, EUSIPCO 2023 - 2023 IEEE European Signal Processing Conference(EUSIPCO), Helsinki, Finland, 2023.
  • I. Ayadi, F. Bouchard and F. Pascal, Distribution matricielle 𝑡-Wishart: gĂ©omĂ©trie d’information, estimation et application pour la classification de signaux EEG, GRETSI 2023 - Colloque Sur Le Traitement Du Signal et Des Images, GRETSI - Groupe de Recherche en Traitement du Signal et des Images, Grenoble, 2023, pp. 777–780.

Journal articles

  • I. Ayadi, F. Bouchard, F. Pascal,
    Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning,
    Signal Processing, 2025.

  • I. Ayadi, F. Bouchard, F. Pascal,
    On Elliptical and Inverse Elliptical Wishart distributions,
    arXiv:2404.17468, 2024.

Thesis manuscript:

  • I. Ayadi, Robust Geometrical Learning for Electroencephalography, UniversitĂ© Paris-Saclay, 2025. English. ⟨NNT : 2025UPAST043âź©. ⟨tel-05227786âź©

Software

  • Contribution to Benchopt – BCI benchmark : [https://github.com/benchopt/benchmark_bci]