3 citations · 4 across the 4 of their papers we have counts for
4 papers
Synthesis parameter effect detection using quantitative representations and high dimensional distribution distances
Alex Hagen, Shane Jackson
Detection of effects of the parameters of the synthetic process on the microstructure of materials is an important, yet elusive goal of materials science. We develop a method for d…
Investigation of process history and phenomenology of plutonium oxides using vector quantizing variational autoencoder
Connor Hainje, Cody Nizinski, Shane Jackson +6
Accurate, high throughput, and unbiased analysis of plutonium oxide particles is needed for analysis of the phenomenology associated with process parameters in their synthesis. Com…
Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
Sarah McGuire, Shane Jackson, Tegan Emerson +1
There is a growing body of work that leverages features extracted via topological data analysis to train machine learning models. While this field, sometimes known as topological m…
Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance
Alex Hagen, Shane Jackson, James Kahn +4
Statistical testing is widespread and critical for a variety of scientific disciplines. The advent of machine learning and the increase of computing power has increased the interes…