Abstract: In this article, we study a class of matrix functions of the combinatorial Laplacian that preserve its structure, i.e., that define matrices, which are positive semidefinite and which have ...

Abstract: Robust matrix completion refers to recovering a low-rank matrix given a subset of the entries corrupted by gross errors, and has various applications since many real-world signals can be ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...