Paris-Lille-3D: A Point Cloud Dataset for Urban Scene Segmentation and Classification. - Xavier Roynard; Jean-Emmanuel Deschaud; François Goulette (CVPR Workshops, 2018)

Classification of Point Cloud Scenes with Multiscale Voxel Deep Network. - Xavier Roynard; Jean-Emmanuel Deschaud; François Goulette (CoRR, 2018)

Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification. - Xavier Roynard; Jean-Emmanuel Deschaud; François Goulette (Int. J. Robotics Res., 2018)

Sémantisation à la volée de nuages de points 3D acquis par systèmes embarqués. (On-the-fly semantization of 3D point clouds acquired by embedded systems). - Xavier Roynard (2019)

MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability. - Fabien Casenave; Brian Staber; Xavier Roynard (NeurIPS, 2023)

MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability. - Fabien Casenave; Brian Staber; Xavier Roynard (CoRR, 2023)

Physics-Learning AI Datamodel (PLAID) datasets: a collection of physics simulations for machine learning. - Fabien Casenave; Xavier Roynard; Brian Staber; William Piat; Michele Alessandro Bucci; Nissrine Akkari; Abbas Kabalan; Xuan Minh Vuong Nguyen; Luca Saverio; Raphaël Carpintero Perez; Anthony Kalaydjian; Samy Fouché; et al. (CoRR, 2025)