Approximate resolution of linear systems of differential equations with varying coefficients is
a recurrent problem, shared by a number of scientific and engineering areas, ranging from …

We propose a method to forecast a vehicle's ego-motion as a distribution over
spatiotemporal paths, conditioned on features (eg, from LIDAR and images) embedded in …

A logical qubit is a two-dimensional subspace of a higher dimensional system, chosen such
that it is possible to detect and correct the occurrence of certain errors. Manipulation of the …

Functions of matrices have been studied for as long as matrix algebra itself. Indeed, in his
seminal A Memoir on the Theory of Matrices (1858), Cayley investigated the square root of a …

In principle, the exponential of a matrix could be computed in many ways. Methods involving
approximation theory, differential equations, the matrix eigenvalues, and the matrix …

The scaling and squaring method is the most widely used method for computing the matrix
exponential, not least because it is the method implemented in MATLAB's\tt expm function …

Speckle reduction is a longstanding topic in synthetic aperture radar (SAR) imaging. Since
most current and planned SAR imaging satellites operate in polarimetric, interferometric, or …

The family of natural evolution strategies (NES) offers a principled approach to real-valued
evolutionary optimization by following the natural gradient of the expected fitness. Like the …

Matrix functions are a central topic of linear algebra, and problems of their numerical
approximation appear increasingly often in scientific computing. We review various rational …

The scaling and squaring method is the most widely used method for computing the matrix
exponential, not least because it is the method implemented in the MATLAB function expm …