C. Rommel, V. Letzelter, N. Samet, R. Marlet, M. Cord, P. Pérez, E. Valle. ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation, in Advances on Neural Information Processing Systems (NeurIPS),2024.
N. Samet, C. Rommel, D. Picard, E. Valle. PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation, in European Conference on Computer Vision (ECCV), Towards a Complete Analysis of People Workshop,2024.
V. Letzelter, D. Perera, C. Rommel, M. Fontaine, S. Essid, G. Richard, P. Perez. Winner-takes-all learners are geometry-aware conditional density estimators, in International Conference on Machine Learning (ICML),2024.
2023
C. Rommel, E. Valle, M. Chen, S. Khalfaoui, R. Marlet, M. Cord, P. Pérez. DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion, in International Conference on Computer Vision (ICCV), Analysis and Modeling of Faces and Gestures workshop,2023.
B. Aristimunha, R. Y. de Camargo, W. H. Lopez Pinaya, S. Chevallier, A. Gramfort, C. Rommel. Evaluating the structure of cognitive tasks with transfer learning, in Advances on Neural Information Processing Systems (NeurIPS) - AI4Science Workshop,2023.
2022
C. Rommel, J. Paillard, T. Moreau, A. Gramfort. Data augmentation for learning predictive models on EEG: a systematic comparison, in Journal of Neural Engineering,2022.
C. Rommel, T. Moreau, A. Gramfort. Deep invariant networks with differentiable augmentation layers, in Advances on Neural Information Processing Systems (NeurIPS),2022.
C. Rommel, T. Moreau, J. Paillard, A. Gramfort. CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals, in International Conference on Learning Representations (ICLR),2022.
2021
C. Rommel, J. F. Bonnans, B. Gregorutti, P. Martinon. Quantifying the Closeness to a Set of Random Curves via the Mean Marginal Likelihood, in ESAIM Probability & Statistics,2021.
2019
C. Rommel, J. F. Bonnans, B. Gregorutti, P. Martinon. Gaussian Mixture Penalty for Trajectory Optimization Problems, in IAAA Journal of Guidance, Control, and Dynamics,2019.
2018
C. Rommel. Data analysis for aircraft trajectory optimization (Thesis), 2018.
C. Rommel, J. F. Bonnans, B. Gregorutti, P. Martinon. Structured Feature Selection of Continuous Dynamical Systems for Aircraft Dynamics Identification, 2018.
2017
C. Rommel, J. F. Bonnans, B. Gregorutti, P. Martinon. Block sparse linear models for learning structured dynamical systems in aeronautics, 2017.
C. Rommel, J. F. Bonnans, B. Gregorutti, P. Martinon. Aircraft dynamics identification for optimal control, in 7th European Conference on Aeronautics and Space Sciences (EUCASS),2017.
