A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources. - Hugo Lebeau; Romain Couillet; Florent Chatelain (ICML, 2022)

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model. - Hugo Lebeau; Mohamed El Amine Seddik; José Henrique de Morais Goulart (ICLR, 2024)

A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation. - Hugo Lebeau; Florent Chatelain; Romain Couillet (CoRR, 2024)

Asymptotic Gaussian Fluctuations of Eigenvectors in Spectral Clustering. - Hugo Lebeau; Florent Chatelain; Romain Couillet (IEEE Signal Process. Lett., 2024)

Random Matrix and Tensor Models for Large Data Processing. (Modèles de Matrices et Tenseurs Aléatoires pour le Traitement de Données Massives). - Hugo Lebeau (2025)

Performance of Rank-One Tensor Approximation on Incomplete Data. - Hugo Lebeau (CoRR, 2025)