3 papers
cs.DC2020
Distributed Non-Negative Tensor Train Decomposition
Manish Bhattarai, Gopinath Chennupati, Erik Skau +3
The era of exascale computing opens new venues for innovations and discoveries in many scientific, engineering, and commercial fields. However, with the exaflops also come the extr…
cs.LG2020
Determination of Latent Dimensionality in International Trade Flow
Duc P. Truong, Erik Skau, Vladimir I. Valtchinov +1
Currently, high-dimensional data is ubiquitous in data science, which necessitates the development of techniques to decompose and interpret such multidimensional (aka tensor) datas…
math.OC2017
Gramian Tensor Decomposition via Semidefinite Programming
Erik Skau, Agnes Szanto
In this paper we examine a symmetric tensor decomposition problem, the Gramian decomposition, posed as a rank minimization problem. We study the relaxation of the problem and consi…