Large-time asymptotics in deep learning. - Carlos Esteve; Borjan Geshkovski; Dario Pighin; Enrique Zuazua (CoRR, 2020)

Turnpike in Lipschitz-nonlinear optimal control. - Carlos Esteve; Borjan Geshkovski; Dario Pighin; Enrique Zuazua (CoRR, 2020)

The Inverse Problem for Hamilton-Jacobi Equations and Semiconcave Envelopes. - Carlos Esteve; Enrique Zuazua (SIAM J. Math. Anal., 2020)

Sparse approximation in learning via neural ODEs. - Carlos Esteve Yagüe; Borjan Geshkovski (CoRR, 2021)

The turnpike property and the longtime behavior of the Hamilton-Jacobi-Bellman equation for finite-dimensional LQ control problems. - Carlos Esteve; Hicham Kouhkouh; Dario Pighin; Enrique Zuazua (Math. Control. Signals Syst., 2022)

Differentiability With Respect to the Initial Condition for Hamilton-Jacobi Equations. - Carlos Esteve Yagüe; Enrique Zuazua (SIAM J. Math. Anal., 2022)

Riemannian geometry for efficient analysis of protein dynamics data. - Willem Diepeveen; Carlos Esteve Yagüe; Jan Lellmann; Ozan Öktem; Carola-Bibiane Schönlieb (CoRR, 2023)

Sparsity in long-time control of neural ODEs. - Carlos Esteve Yagüe; Borjan Geshkovski (Syst. Control. Lett., 2023)

FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimization. - Fan Zhang; Carlos Esteve Yagüe; Sören Dittmer; Carola-Bibiane Schönlieb; Michael Roberts (CoRR, 2024)

Finite-difference least square methods for solving Hamilton-Jacobi equations using neural networks. - Carlos Esteve Yagüe; Richard Tsai 001; Alex Massucco (J. Comput. Phys., 2025)