1 citations · 1 across the 2 of their papers we have counts for
3 papers
Denoising neural networks for magnetic resonance spectroscopy
Natalie Klein, Amber J. Day, Harris Mason +2
In many scientific applications, measured time series are corrupted by noise or distortions. Traditional denoising techniques often fail to recover the signal of interest, particul…
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra
Katiana Kontolati, Natalie Klein, Nishant Panda +1
Constructing probability densities for inference in high-dimensional spectral data is often intractable. In this work, we use normalizing flows on structured spectral latent spaces…
Torus Graphs for Multivariate Phase Coupling Analysis
Natalie Klein, Josue Orellana, Scott Brincat +2
Angular measurements are often modeled as circular random variables, where there are natural circular analogues of moments, including correlation. Because a product of circles is a…