135 citations · 234 across the 30 of their papers we have counts for
3 papers · 1 filter
Low-Rank plus Sparse Decomposition of Covariance Matrices using Neural Network Parametrization
Michel Baes, Calypso Herrera, Ariel Neufeld +1
This paper revisits the problem of decomposing a positive semidefinite matrix as a sum of a matrix with a given rank plus a sparse matrix. An immediate application can be found in…
Deep splitting method for parabolic PDEs
Christian Beck, Sebastian Becker, Patrick Cheridito +2
In this paper we introduce a numerical method for nonlinear parabolic PDEs that combines operator splitting with deep learning. It divides the PDE approximation problem into a sequ…
The Oracle of DLphi
Dominik Alfke, Weston Baines, Jan Blechschmidt +24
We present a novel technique based on deep learning and set theory which yields exceptional classification and prediction results. Having access to a sufficiently large amount of l…