Finite-difference least square methods for solving Hamilton-Jacobi equations using neural networks.
J. Comput. Phys., 2025
FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimization.
CoRR, 2024
Sparsity in long-time control of neural ODEs.
Syst. Control. Lett., February, 2023
Riemannian geometry for efficient analysis of protein dynamics data.
CoRR, 2023
Differentiability With Respect to the Initial Condition for Hamilton-Jacobi Equations.
SIAM J. Math. Anal., 2022
The turnpike property and the longtime behavior of the Hamilton-Jacobi-Bellman equation for finite-dimensional LQ control problems.
Math. Control. Signals Syst., 2022
Sparse approximation in learning via neural ODEs.
CoRR, 2021
The Inverse Problem for Hamilton-Jacobi Equations and Semiconcave Envelopes.
SIAM J. Math. Anal., 2020
Turnpike in Lipschitz-nonlinear optimal control.
CoRR, 2020
Large-time asymptotics in deep learning.
CoRR, 2020