Wasserstein distance – cmc.deusto.eus

Neural ODE Control for Classification, Approximation and Transport

data classification, deep learning, Neural ODEs, Optimal Transport, simultaneous control, transport equations, universal approximation, Wasserstein distance

Ruiz-Balet D., Zuazua E. Neural ODE Control for Classification, Approximation and Transport (2023), SIAM Review, Vol. 65, No. 3, pp. 735-773, https://doi.org/10.1137/21M1411433 Abstract. We analyze Neural Ordinary Differential Equations (NODEs)…

Neural ODE Control for Classification, Approximation and Transport

An inverse problem for Moore-Gibson-Thompson equation arising in high intensity ultrasound

Averaged turnpike property for differential equations with random constant coefficients. Mathematical Control and Related Fields

Boundary Controllability for the 1D Moore-Gibson-Thompson equation

Controllability properties from the exterior under positivity constraints for a 1-D fractional heat equation

Discrete Carleman estimates and application to controllability for a fully-discrete parabolic operator with dynamic boundary conditions