Performance Bounds for Coupled CP Model in the Framework of Hyperspectral Super-Resolution. - Clémence Prévost; Konstantin Usevich; Pierre Comon; Martin Haardt; David Brie (CAMSAP, 2019)

Coupled Tensor Low-rank Multilinear Approximation for Hyperspectral Super-resolution. - Clémence Prévost; Konstantin Usevich; Pierre Comon; David Brie (ICASSP, 2019)

On Cramér-Rao Lower Bounds with Random Equality Constraints. - Clémence Prévost; Eric Chaumette; Konstantin Usevich; David Brie; Pierre Comon (ICASSP, 2020)

Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms. - Clémence Prévost; Konstantin Usevich; Pierre Comon; David Brie (IEEE Trans. Signal Process., 2020)

Coupled Tensor Models Accounting for Inter-image Variability. - Ricardo Augusto Borsoi; Clémence Prévost; Konstantin Usevich; David Brie; José C. M. Bermudez; Cédric Richard (ACSCC, 2021)

Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. - Ricardo Augusto Borsoi; Clémence Prévost; Konstantin Usevich; David Brie; José C. M. Bermudez; Cédric Richard (IEEE J. Sel. Top. Signal Process., 2021)

Multimodal data fusion by coupled low-rank tensor approximations. (Fusion de données multimodales par approximations tensorielles couplées de rang faible). - Clémence Prévost (2021)

Multi-Frame Super-Resolution MRI Using Coupled Low-Rank Tucker Approximation. - Clémence Prévost; Freddy Odille (EUSIPCO, 2022)

Fast Fusion of Hyperspectral and Multispectral Images: A Tucker Approximation Approach. - Clémence Prévost; Pierre Chainais; Rémy Boyer (ICIP, 2022)

Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image. - Clémence Prévost; Ricardo Augusto Borsoi; Konstantin Usevich; David Brie; José C. M. Bermudez; Cédric Richard (SIAM J. Imaging Sci., 2022)

Constrained Cramér-Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions. - Clémence Prévost; Konstantin Usevich; Martin Haardt; Pierre Comon; David Brie (Signal Process., 2022)

Nonnegative Block-Term Decomposition with the β-Divergence: Joint Data Fusion and Blind Spectral Unmixing. - Clémence Prévost; Valentin Leplat (ICASSP, 2023)

Minimum-Volume Non-Negative Block-Term Decomposition: Blind Data Fusion and Unmixing with Estimation of the Number of Endmembers. - Clémence Prévost; Valentin Leplat (EUSIPCO, 2024)

Optimal estimation of the canonical polyadic decomposition from low-rank tensor trains. - Clémence Prévost; Pierre Chainais (Signal Process., 2025)

Tensor decompositions for signal processing: Theory, advances, and applications. - Neriman Tokcan; Shakir Showkat Sofi; Van Tien Pham; Clémence Prévost; Sofiane Kharbech; Baptiste Magnier; Thanh Phuong Nguyen 001; Yassine Zniyed; Lieven De Lathauwer (Signal Process., 2026)