Research fields
- Riemannian geometry
- Information geometry
- Machine Learning
- Quantum machine Learning
- Time series
- Radar signal processing
- Radar clutter
- Radar-based drone detection and classification
PhD thesis
I have defended my PhD thesis at the Institute of Mathematics of Bordeaux, France on March 31, 2022.
Here are the slides of the presentation of my PhD thesis:
Publications available online
Some of my publications are available on HAL
or arXiv.
Publications as first author in conferences.
- Yann Cabanes and Frank Nielsen,
Classification in the Siegel Space for Vectorial Autoregressive Data,
GSI 2021, Paris, France, July 21-23, 2021.
- Yann Cabanes, Frédéric Barbaresco, Marc Arnaudon and Jérémie Bigot,
Unsupervised Machine Learning for Pathological Radar
Clutter Clustering: the P-Mean-Shift Algorithm,
C&ESAR 2019, Rennes, France, 19-21 November 2019, hal-02875430.
- Yann Cabanes, Frédéric Barbaresco, Marc Arnaudon and Jérémie Bigot,
Non-Supervised High Resolution Doppler Machine Learning
for Pathological Radar Clutter,
RADAR 2019, Toulon, France, 23-27 September 2019, hal-02875415.
- Yann Cabanes, Frédéric Barbaresco, Marc Arnaudon and Jérémie Bigot,
Toeplitz Hermitian Positive Definite Matrix Machine Learning
based on Fisher Metric,
GSI 2019, Toulouse, France, 27-29 August 2019, hal-02875403.
- Yann Cabanes, Frédéric Barbaresco, Marc Arnaudon and Jérémie Bigot,
Non-supervised Machine Learning Algorithms for Radar
Clutter High-Resolution Doppler Segmentation and Pathological Clutter Analysis,
IRS 2019, Ulm, Germany, 26-28 June 2019, hal-02875365.
Other publication as first author
Publications as secondary author
- Ankita Dey, Yann Cabanes, Sreeraman Rajan, Bhashyam Balaji, Anthony Damini, Rajkumar Chanchlani.
Radar-based Drone Detection using Complex-Valued Convolutional Neural Network,
IEEE Sensor Applications Symposium (SAS) 2023, Ottawa, Canada
- Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise,
Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich,
Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu,
Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Černý, Martin Bauw,
Santiago Velasco-Forero, Jesus Angulo, Yanan Long.
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results,
2021, https://arxiv.org/abs/2108.09810.
- Pierre-Yves Lagrave, Yann Cabanes and Frédéric Barbaresco,
SU(1, 1) Equivariant Neural Networks and Application to
Robust Toeplitz Hermitian Positive Definite Matrix Classification,
GSI 2021, Paris, France, July 21-23, 2021.
- Pierre-Yves Lagrave, Yann Cabanes and Frédéric Barbaresco,
An Equivariant Neural Network with Hyperbolic Embedding
for Robust Doppler Signal Classification,
IRS 2021.
- 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, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard
Kainz, Claire Donnat, Susan Holmes and Xavier Pennec,
Geomstats: A Python Package for Riemannian Geometry in Machine Learning,
Journal of Machine Learning Research, 2020.
- Frédéric Barbaresco and Yann Cabanes,
APPROCHER LES DEUX INFINIS PAR
LES ONDES ELECTROMAGNETIQUES LES STRUCTURES GEOMETRIQUES
ELEMENTAIRES DE L'INFORMATION DIGITALE ELECTROMAGNETIQUE Caractérisation
statistique de la mesure digitale des fluctuations spatio-Doppler et
polarimétrique de l'onde électromagnétique radar,
JS19, 26-27 March 2019, Guyancourt, France, hal-02881612.
Oral presentations of articles in conferences
- Conference
GSI 2021,
Paris, France
- Conference
SIAM LA21
- Conference CE&SAR 2019, Rennes, France
- Conference
RADAR 2019,
Toulon, France
- Conference
GSI 2019,
Toulouse, France
- Conference
IRS 2019,
Ulm, Germany
- Conference
JS19,
Guyancourt, France
Oral presentations in workshops
- Workshop
SONDRA 2022,
Avignon, France, 2022. An abstract of the presentation is available here.
- Workshop for Thales Land and Air Systems (LAS) and Thales Defence and Mission Systems (DMS) engineers at
TRT
Palaiseau, France, 2019
Oral presentations in seminars
- Seminar "Information Geometry and Machine Learning"
of the Department of Mathematics and the Department of Applied Mathematics and Statistics
at Stony Brook University,
New York State, United States, 2023
- Seminar of the Probabilities and Statistics team
of the Mathematics Laboratory of Besançon, 2023
- Seminar "Riemannian Geometric Statistics" at the
Heidelberg Experimental Geometry Lab, 2022
- Seminar
IEEE AESS,
Carleton University, Ottawa, Canada, 2022
- Colloque Inter'Action 2019,
University of Bordeaux, 20-24 Mai 2019
Presentations during educational days
- Oral presentation for the Thales PhD days at
TRT
Palaiseau, France, 2022
- My thesis in 180 seconds for the Thales PhD days at
TRT
Palaiseau, France, 2022
- Poster presentation for the Thales PhD days at
TRT
Palaiseau, France, 2019
- Poster presentation for the PhD days at the LaBRI,
Talence, France, 2019