59 citations · 98 across the 3 of their papers we have counts for
7 papers
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation
Thomas J. Kerby, Kevin R. Moon
Training-free guidance methods for continuous data have seen an explosion of interest due to the fact that they enable foundation diffusion models to be paired with interchangable…
Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction
Jarrod Mau, Kevin Moon
Time series analysis is relevant in various disciplines such as physics, biology, chemistry, and finance. In this paper, we present a novel neural network architecture that integra…
Exploring higher-order neural network node interactions with total correlation
Thomas Kerby, Teresa White, Kevin Moon
In domains such as ecological systems, collaborations, and the human brain the variables interact in complex ways. Yet accurately characterizing higher-order variable interactions…
Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images
Scout Jarman, Zigfried Hampel-Arias, Adra Carr +1
Deep learning identification models have shown promise for identifying gas plumes in Longwave IR hyperspectral images of urban scenes, particularly when a large library of gases ar…
Multivariate f-Divergence Estimation With Confidence
Kevin R. Moon, Alfred O. Hero
The problem of f-divergence estimation is important in the fields of machine learning, information theory, and statistics. While several nonparametric divergence estimators exist,…
Image patch analysis and clustering of sunspots: a dimensionality reduction approach
Kevin R. Moon, Jimmy J. Li, Veronique Delouille +2
Sunspots, as seen in white light or continuum images, are associated with regions of high magnetic activity on the Sun, visible on magnetogram images. Their complexity is correlate…