Toeplitz Hermitian Positive Definite Matrix Machine Learning Based on Fisher Metric. - Yann Cabanes; Frédéric Barbaresco; Marc Arnaudon; Jérémie Bigot (GSI, 2019)

Introduction to Geometric Learning in Python with Geomstats. - Nina Miolane; Nicolas Guigui; Hadi Zaatiti; Christian Shewmake; Hatem Hajri; Daniel Brooks; Alice Le Brigant; Johan Mathe; Benjamin Hou; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; et al. (SciPy, 2020)

Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - Nina Miolane; Alice Le Brigant; Johan Mathe; Benjamin Hou; Nicolas Guigui; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; Niklas Koep; Hadi Zaatiti; Hatem Hajri; Yann Cabanes; et al. (CoRR, 2020)

The Basic Geometric Structures of Electromagnetic Digital Information: Statistical characterization of the digital measurement of spatio-Doppler and polarimetric fluctuations of the radar electromagnetic wave. - Frédéric Barbaresco; Yann Cabanes (CoRR, 2020)

Classification in the Siegel Space for Vectorial Autoregressive Data. - Yann Cabanes; Frank Nielsen (GSI, 2021)

${{ , mathrm{SU} , }}(1, 1)$ Equivariant Neural Networks and Application to Robust Toeplitz Hermitian Positive Definite Matrix Classification. - Pierre-Yves Lagrave; Yann Cabanes; Frédéric Barbaresco (GSI, 2021)

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. - Nina Miolane; Matteo Caorsi; Umberto Lupo; Marius Guerard; Nicolas Guigui; Johan Mathe; Yann Cabanes; Wojciech Reise; Thomas Davies 001; António Leitão; Somesh Mohapatra; Saiteja Utpala; et al. (CoRR, 2021)

Multidimensional Complex Stationary Centered Gaussian Autoregressive Time Series Machine Learning in Poincaré and Siegel Disks: Application for Audio and Radar Clutter Classification. (Apprentissage dans les disques de Poincaré et de Siegel de séries temporelles multidimensionnelles complexes suivant un modèle autorégressif gaussien stationnaire centré : application à la classification de données audio et de fouillis radar). - Yann Cabanes (2022)

Radar-Based Drone Detection Using Complex-Valued Convolutional Neural Network. - Ankita Dey; Yann Cabanes; Sreeraman Rajan; Bhashyam Balaji; Anthony Damini; Rajkumar Chanchlani (SAS, 2023)