Fabien Lotte — accepted AI-conference papers

2025

Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices

Thibault de Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger

ICML 2025poster

Circular and non-flat data distribution are prevalent across diverse domains of data science, yet their specific geometric structures often remain underutilized in machine learning frameworks. A principled approach to accounting for the underlying geometry of such data is pivotal, particularly when…

Cited by 0 Source ↗PDF ↗Scholar ↗

2020

Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications

Khadijeh Sadatnejad, Aline Roc, Léa Pillette, Aurélien Appriou, Thibaut Monseigne, Fabien Lotte

ICASSP 2020accepted

In this paper, we propose and compare multiple criteria for selecting ElectroEncephaloGraphic (EEG) channels over the Riemannian manifold, for EEG classification in Brain- Computer Interfaces (BCI). These criteria aim to promote EEG covariance matrix classifiers to generalize well by considering EEG…

Cited by 0 Source ↗Scholar ↗