Djeumou, Franck

6 publications

ICLR 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL Cevahir Koprulu, Franck Djeumou, Ufuk Topcu

CoRL 2024 One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits Franck Djeumou, Thomas Jonathan Lew, Nan Ding, Michael Thompson, Makoto Suminaka, Marcus Greiff, John Subosits

CoRL 2023 How to Learn and Generalize from Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations Franck Djeumou, Cyrus Neary, Ufuk Topcu

L4DC 2022 Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information Franck Djeumou, Ufuk Topcu

L4DC 2022 Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu

IJCAI 2022 Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu