Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels. - Raphaël Carpintero Perez; Sébastien Da Veiga; Josselin Garnier; Brian Staber (AISTATS, 2024)

Learning signals defined on graphs with optimal transport and Gaussian process regression. - Raphaël Carpintero Perez; Sébastien Da Veiga; Josselin Garnier; Brian Staber (AISTATS, 2025)

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)