7 citations · 20 across the 10 of their papers we have counts for
11 papers
LaFA: Latent Feature Attacks on Non-negative Matrix Factorization
Minh Vu, Ben Nebgen, Erik Skau +5
As Machine Learning (ML) applications rapidly grow, concerns about adversarial attacks compromising their reliability have gained significant attention. One unsupervised ML method…
Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization
Erik Skau, Andrew Hollis, Stephan Eidenbenz +2
Monitoring of industrial processes is a critical capability in industry and in government to ensure reliability of production cycles, quick emergency response, and national securit…
Distributed non-negative RESCAL with Automatic Model Selection for Exascale Data
Manish Bhattarai, Namita Kharat, Erik Skau +5
With the boom in the development of computer hardware and software, social media, IoT platforms, and communications, there has been an exponential growth in the volume of data prod…
Distributed Out-of-Memory NMF on CPU/GPU Architectures
Ismael Boureima, Manish Bhattarai, Maksim Eren +4
We propose an efficient distributed out-of-memory implementation of the Non-negative Matrix Factorization (NMF) algorithm for heterogeneous high-performance-computing (HPC) systems…
First Law for Kerr Taub-NUT AdS Black Holes
Nelson Hernández Rodríguez, Maria J. Rodriguez
The first law of black hole mechanics, which relates the change of energy to the change of entropy and other conserved charges, has been the main motivation for probing the thermod…
Boolean Matrix Factorization via Nonnegative Auxiliary Optimization
Duc P. Truong, Erik Skau, Derek Desantis +1
A novel approach to Boolean matrix factorization (BMF) is presented. Instead of solving the BMF problem directly, this approach solves a nonnegative optimization problem with the c…