CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals. - Cédric Rommel; Thomas Moreau 001; Alexandre Gramfort (CoRR, 2021)

CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals. - Cédric Rommel; Thomas Moreau 001; Joseph Paillard; Alexandre Gramfort (ICLR, 2022)

Deep invariant networks with differentiable augmentation layers. - Cédric Rommel; Thomas Moreau 001; Alexandre Gramfort (NeurIPS, 2022)

Data augmentation for learning predictive models on EEG: a systematic comparison. - Cédric Rommel; Joseph Paillard; Thomas Moreau 001; Alexandre Gramfort (CoRR, 2022)

DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. - Cédric Rommel; Eduardo Valle; Mickaël Chen; Souhaiel Khalfaoui; Renaud Marlet; Matthieu Cord; Patrick Pérez (ICCV (Workshops), 2023)

Evaluating the structure of cognitive tasks with transfer learning. - Bruno Aristimunha; Raphael Y. de Camargo; Walter Hugo Lopez Pinaya; Sylvain Chevallier; Alexandre Gramfort; Cédric Rommel (CoRR, 2023)

PAFUSE: Part-Based Diffusion for 3D Whole-Body Pose Estimation. - Nermin Samet; Cédric Rommel; David Picard; Eduardo Valle (ECCV Workshops (13), 2024)

Winner-takes-all learners are geometry-aware conditional density estimators. - Victor Letzelter; David Perera; Cédric Rommel; Mathieu Fontaine 002; Slim Essid; Gaël Richard; Patrick Pérez (ICML, 2024)

ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation. - Cédric Rommel; Victor Letzelter; Nermin Samet; Renaud Marlet; Matthieu Cord; Patrick Pérez; Eduardo Valle (NeurIPS, 2024)