P. Sochala, V. Souveton, and S. Terrana. Statistically-informed surrogate models combining linear dimension reduction and neural networks for blast wave propagation. Journal of Computational Science, 96:102857, 2026.
S. Terrana, P. Sochala, R. Leconte, and V. Souveton. Blast-terrain interactions : fast-running predictions and statistical analysis. In 27th International Symposium on Military Aspects of Blast and Shock (MABS 27), 2025.
V. Souveton, and S. Terrana. Hamiltonian normalizing flows as kinetic PDE solvers: Application to the 1D Vlasov-Poisson equations. In Proceedings of the 2nd ECAI Workshop on “Machine Learning Meets Differential Equations: From Theory to Applications”, PMLR 277:133-146, 2025.
V. Souveton. Non-reversible and generative sampling algorithms: Application to the inference of cosmological parameters. Doctoral dissertation, Université Clermont Auvergne, HAL, 2024.
V. Souveton, A. Guillin, J. Jasche, G. Lavaux, and M. Michel. Fixed-kinetic neural Hamiltonian flows for enhanced interpretability and reduced complexity. In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, PMLR 238:3178–3186, 2024.