We develop new multilevel Monte Carlo (MLMC) methods to estimate the
exp...
Training large neural networks is time consuming. To speed up the proces...
Learning for control of dynamical systems with formal guarantees remains...
Anderson acceleration is widely used for accelerating the convergence of...
We study the asymptotic convergence of AA(m), i.e., Anderson acceleratio...
Fully implicit Runge-Kutta (IRK) methods have many desirable properties ...
We use neural ordinary differential equations to formulate a variant of ...
We explain how Anderson Acceleration (AA) speeds up the Alternating Dire...
We consider nonlinear convergence acceleration methods for fixed-point
i...
In this paper we present a geometric multigrid method with Jacobi and Va...
Parallel-in-time methods, such as multigrid reduction-in-time (MGRIT) an...
Location tagging, also known as geotagging or geolocation, is the proces...