Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks. - Raphaël Baena; Lucas Drumetz; Vincent Gripon (EUSIPCO, 2021)

A Local Mixup to Prevent Manifold Intrusion. - Raphaël Baena; Lucas Drumetz; Vincent Gripon (EUSIPCO, 2022)

Preventing Manifold Intrusion with Locality: Local Mixup. - Raphaël Baena; Lucas Drumetz; Vincent Gripon (CoRR, 2022)

Preserving Fine-Grain Feature Information in Classification via Entropic Regularization. - Raphaël Baena; Lucas Drumetz; Vincent Gripon (CoRR, 2022)

Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models. - Raphaël Baena; Lucas Drumetz; Vincent Gripon (ICASSP, 2023)

Beyond the training task in classification: looking at extension of the notion of generalization. (Au-delà de la tâche d'entraînement en classification: élargir la notion de généralisation). - Raphaël Baena (2023)

On Transfer in Classification: How Well do Subsets of Classes Generalize? - Raphaël Baena; Lucas Drumetz; Vincent Gripon (EUSIPCO, 2024)

General Detection-based Text Line Recognition. - Raphaël Baena; Syrine Kalleli; Mathieu Aubry (NeurIPS, 2024)

Local Mixup: Interpolation of closest input signals to prevent manifold intrusion. - Raphaël Baena; Lucas Drumetz; Vincent Gripon (Signal Process., 2024)