Articles

DE SURREL DE SAINT JULIEN T., Chevallier S., Lotte F., Yger F. (2025), Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices, Transactions on machine learning research

Communications avec actes

De Surrel De Saint Julien T., Yger F., Lotte F., Chevallier S. (2026), A Probabilistic View on Riemannian Machine Learning Models for SPD Matrices, in Frank Nielsen ; Frédéric Barbaresco, Geometric Science of Information, Springer Nature Switzerland, 142-151 p.

DE SURREL DE SAINT JULIEN T., Venot T., Corsi M-C., Yger F. (2025), Interpretability of Riemannian Tools Used in Brain Computer Interfaces, in , 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP), IEEE - Institute of Electrical and Electronics Engineers, 1-6 p.

De Surrel De Saint Julien T., Lotte F., Chevallier S., Yger F. (2025), Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices, in , Proceedings of Machine Learning Research (PMLR), 12816-12839 p.

DE SURREL DE SAINT JULIEN T., Yger F., Chevallier S., Lotte F. (2024), Averaging Trajectories on the Manifold of Symmetric Positive Definite Matrices, in , 2024 32nd European Signal Processing Conference (EUSIPCO), IEEE - Institute of Electrical and Electronics Engineers, 1182-1186 p.