Hyperspectral Classification Based on Spectral Indices Learned Through Soft Attention Units. - Romain Thoreau; Véronique Achard; Xavier Briottet (IGARSS, 2021)

Probabilistic Breaking Tie: An Active Learning Strategy To Leverage Class Hierarchy For Impervious Surfaces Classification. - Romain Thoreau; Véronique Achard; Laurent Risser; Béatrice Berthelot; Xavier Briottet (WHISPERS, 2022)

p3VAE: a physics-integrated generative model. Application to the semantic segmentation of optical remote sensing images. - Romain Thoreau; Laurent Risser; Véronique Achard; Béatrice Berthelot; Xavier Briottet (CoRR, 2022)

Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques. - Romain Thoreau; Laurent Risser; Véronique Achard; Béatrice Berthelot; Xavier Briottet (CoRR, 2023)

Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection. - Romain Thoreau; Valerio Marsocci; Dawa Derksen (CoRR, 2025)

Physics-informed variational autoencoders for improved robustness to environmental factors of variation. - Romain Thoreau; Laurent Risser; Véronique Achard; Béatrice Berthelot; Xavier Briottet (Mach. Learn., 2025)