Kevin R. Moon

Orcid: 0000-0002-4457-9988

According to our database1, Kevin R. Moon authored at least 34 papers between 2013 and 2024.

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Bibliography

2024
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation.
CoRR, 2024

Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension.
CoRR, 2024

Symmetry Discovery Beyond Affine Transformations.
CoRR, 2024

Noisy Data Visualization using Functional Data Analysis.
CoRR, 2024

Exploring higher-order neural network node interactions with total correlation.
CoRR, 2024

Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images.
Proceedings of the IGARSS 2024, 2024

Nonparametric Estimation of Non-Smooth Divergences.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Geometry- and Accuracy-Preserving Random Forest Proximities.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Geometry Regularized Autoencoders.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Diffusion Transport Alignment.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2022
Manifold Alignment with Label Information.
CoRR, 2022

2021
Ensemble Estimation of Generalized Mutual Information With Applications to Genomics.
IEEE Trans. Inf. Theory, 2021

Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Gps-Denied Navigation Using Sar Images And Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Supervised Visualization for Data Exploration.
CoRR, 2020

Extendable and invertible manifold learning with geometry regularized autoencoders.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Convergence Rates for Empirical Estimation of Binary Classification Bounds.
Entropy, 2019

Compressed Diffusion.
CoRR, 2019

Visualizing High Dimensional Dynamical Processes.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Coarse Graining of Data via Inhomogeneous Diffusion Condensation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Ensemble Estimation of Information Divergence <sup>†</sup>.
Entropy, 2018

2017
Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors.
CoRR, 2017

Direct estimation of information divergence using nearest neighbor ratios.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Ensemble estimation of mutual information.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Information theoretic structure learning with confidence.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Improving convergence of divergence functional ensemble estimators.
Proceedings of the IEEE International Symposium on Information Theory, 2016

The intrinsic value of HFO features as a biomarker of epileptic activity.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis.
CoRR, 2015

Image patch analysis of sunspots and active regions. II. Clustering via dictionary learning.
CoRR, 2015

Meta learning of bounds on the Bayes classifier error.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

2014
Multivariate f-divergence Estimation With Confidence.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Ensemble estimation of multivariate f-divergence.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Image patch analysis and clustering of sunspots: A dimensionality reduction approach.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Considerations for Ku-Band Scatterometer Calibration Using the Dry-Snow Zone of the Greenland Ice Sheet.
IEEE Geosci. Remote. Sens. Lett., 2013


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