We study the effect of approximation errors in assessing the extreme
beh...
We develop theory and methods that use the graph Laplacian to analyze th...
In this article we prove that estimator stability is enough to show that...
We consider dynamical and geometrical aspects of deep learning. For many...
Purpose: To enable fast and automated analysis of body composition from ...
In this paper we are concerned with the approximation of functions by si...
In this paper we prove that, in the deep limit, the stochastic gradient
...