5 citations · 5 across the 1 of their papers we have counts for
3 papers
Identification of Anomalous Diffusion Sources by Unsupervised Learning
Raviteja Vangara, Kim Ø. Rasmussen, Dimiter N. Petsev +2
Fractional Brownian motion (fBm) is a ubiquitous diffusion process in which the memory effects of the stochastic transport result in the mean squared particle displacement followin…
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…
A Neural Network for Determination of Latent Dimensionality in Nonnegative Matrix Factorization
Benjamin T. Nebgen, Raviteja Vangara, Miguel A. Hombrados-Herrera +2
Non-negative Matrix Factorization (NMF) has proven to be a powerful unsupervised learning method for uncovering hidden features in complex and noisy data sets with applications in…