Sparsity – cmc.deusto.eus

Sparse approximation in learning via neural ODEs

deep learning, Neural ODEs, Nonlinear systems, optimal control, Sparsity, Supervised Learning

Esteve C., Geshkovski B. Sparse approximation in learning via neural ODEs (2021) Abstract. We consider the continuous-time, neural ordinary differential equation (neural ODE) perspective of deep supervised learning, and study the…

Sparse approximation in learning via neural ODEs

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