3 citations · 6 across the 4 of their papers we have counts for
4 papers
Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
Generative Pre-Trained Transformer models have been shown to be surprisingly effective at a variety of natural language processing tasks -- including generating computer code. We e…
Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
The task of accurate and efficient language translation is an extremely important information processing task. Machine learning enabled and automated translation that is accurate a…
Sampling binary sparse coding QUBO models using a spiking neuromorphic processor
Kyle Henke, Elijah Pelofske, Georg Hahn +1
We consider the problem of computing a sparse binary representation of an image. To be precise, given an image and an overcomplete, non-orthonormal basis, we aim to find a sparse b…
Posiform Planting: Generating QUBO Instances for Benchmarking
Georg Hahn, Elijah Pelofske, Hristo N. Djidjev
We are interested in benchmarking both quantum annealing and classical algorithms for minimizing Quadratic Unconstrained Binary Optimization (QUBO) problems. Such problems are NP-h…