Considerations for Ku-Band Scatterometer Calibration Using the Dry-Snow Zone of the Greenland Ice Sheet. - Kevin R. Moon; David G. Long (IEEE Geosci. Remote. Sens. Lett., 2013)

Image patch analysis and clustering of sunspots: A dimensionality reduction approach. - Kevin R. Moon; Jimmy J. Li; Véronique Delouille; Fraser Watson; Alfred O. Hero III (ICIP, 2014)

Ensemble estimation of multivariate f-divergence. - Kevin R. Moon; Alfred O. Hero III (ISIT, 2014)

Multivariate f-divergence Estimation With Confidence. - Kevin R. Moon; Alfred O. Hero III (NIPS, 2014)

Meta learning of bounds on the Bayes classifier error. - Kevin R. Moon; Alfred O. Hero III; Véronique Delouille (SP/SPE, 2015)

Image patch analysis of sunspots and active regions. II. Clustering via dictionary learning. - Kevin R. Moon; Véronique Delouille; Jimmy J. Li; Ruben De Visscher; Fraser Watson; Alfred O. Hero III (CoRR, 2015)

Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis. - Kevin R. Moon; Jimmy J. Li; Véronique Delouille; Ruben De Visscher; Fraser Watson; Alfred O. Hero III (CoRR, 2015)

The intrinsic value of HFO features as a biomarker of epileptic activity. - Stephen V. Gliske; William C. Stacey; Kevin R. Moon; Alfred O. Hero III (ICASSP, 2016)

Improving convergence of divergence functional ensemble estimators. - Kevin R. Moon; Kumar Sricharan; Kristjan H. Greenewald; Alfred O. Hero III (ISIT, 2016)

Information theoretic structure learning with confidence. - Kevin R. Moon; Morteza Noshad; Salimeh Yasaei Sekeh; Alfred O. Hero III (ICASSP, 2017)

Ensemble estimation of mutual information. - Kevin R. Moon; Kumar Sricharan; Alfred O. Hero III (ISIT, 2017)

Direct estimation of information divergence using nearest neighbor ratios. - Morteza Noshad; Kevin R. Moon; Salimeh Yasaei Sekeh; Alfred O. Hero III (ISIT, 2017)

Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors. - Kevin R. Moon; Kumar Sricharan; Alfred O. Hero III (CoRR, 2017)

Direct Ensemble Estimation of Density Functionals. - Alan Wisler; Kevin R. Moon; Visar Berisha (ICASSP, 2018)

Ensemble Estimation of Information Divergence †. - Kevin R. Moon; Kumar Sricharan; Kristjan H. Greenewald; Alfred O. Hero III (Entropy, 2018)

Coarse Graining of Data via Inhomogeneous Diffusion Condensation. - Nathan Brugnone; Smita Krishnaswamy; Alex Gonopolskiy; Mark W. Moyle; Manik Kuchroo; David van Dijk; Kevin R. Moon; Daniel Colón-Ramos; Guy Wolf; Matthew J. Hirn (IEEE BigData, 2019)

Visualizing High Dimensional Dynamical Processes. - Andrés F. Duque; Guy Wolf; Kevin R. Moon (MLSP, 2019)

Compressed Diffusion. - Scott Gigante; Jay S. Stanley III; Ngan Vu; David van Dijk; Kevin R. Moon; Guy Wolf; Smita Krishnaswamy (CoRR, 2019)

Convergence Rates for Empirical Estimation of Binary Classification Bounds. - Salimeh Yasaei Sekeh; Morteza Noshad; Kevin R. Moon; Alfred O. Hero III (Entropy, 2019)

Extendable and invertible manifold learning with geometry regularized autoencoders. - Andrés F. Duque; Sacha Morin; Guy Wolf; Kevin R. Moon (IEEE BigData, 2020)

Supervised Visualization for Data Exploration. - Jake S. Rhodes; Adele Cutler; Guy Wolf; Kevin R. Moon (CoRR, 2020)

Gps-Denied Navigation Using Sar Images And Neural Networks. - Teresa White; Jesse Wheeler; Colton Lindstrom; Randall Christensen; Kevin R. Moon (ICASSP, 2021)

Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration. - Jake S. Rhodes; Adele Cutler; Guy Wolf; Kevin R. Moon (SSP, 2021)

Ensemble Estimation of Generalized Mutual Information With Applications to Genomics. - Kevin R. Moon; Kumar Sricharan; Alfred O. Hero III (IEEE Trans. Inf. Theory, 2021)

Manifold Alignment with Label Information. - Andrés F. Duque; Myriam Lizotte; Guy Wolf; Kevin R. Moon (CoRR, 2022)

Diffusion Transport Alignment. - Andrés F. Duque; Guy Wolf; Kevin R. Moon (IDA, 2023)

Geometry Regularized Autoencoders. - Andrés F. Duque; Sacha Morin; Guy Wolf; Kevin R. Moon (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Geometry- and Accuracy-Preserving Random Forest Proximities. - Jake S. Rhodes; Adele Cutler; Kevin R. Moon (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method. - Soheila Farokhi; Haozhe Chen; Kevin R. Moon; Hamid Karimi (IEEE Big Data, 2024)

Nonparametric Estimation of Non-Smooth Divergences. - M. Mahbub Hossain; Alan Wisler; Kevin R. Moon (CIKM, 2024)

Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images. - Scout Jarman; Zigfried Hampel-Arias; Adra Carr; Kevin R. Moon (IGARSS, 2024)

Learning Local Higher-Order Interactions with Total Correlation. - Thomas J. Kerby; Teresa White; Kevin R. Moon (MLSP, 2024)

Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-of-Sample Extension. - Shuang Ni; Adrien Aumon; Guy Wolf; Kevin R. Moon; Jake S. Rhodes (MLSP, 2024)

Symmetry Discovery Beyond Affine Transformations. - Ben Shaw 003; Abram Magner; Kevin R. Moon (NeurIPS, 2024)

Exploring higher-order neural network node interactions with total correlation. - Thomas J. Kerby; Teresa White; Kevin R. Moon (CoRR, 2024)

Noisy Data Visualization using Functional Data Analysis. - Haozhe Chen; Andres Felipe Duque Correa; Guy Wolf; Kevin R. Moon (CoRR, 2024)

Training-Free Guidance for Discrete Diffusion Models for Molecular Generation. - Thomas J. Kerby; Kevin R. Moon (CoRR, 2024)

Forest Proximities for Time Series. - Ben Shaw 003; Jake S. Rhodes; Soukaina Filali Boubrahimi; Kevin R. Moon (CoRR, 2024)

Model agnostic local variable importance for locally dependent relationships. - Kelvyn K. Bladen; Adele Cutler; D. Richard Cutler; Kevin R. Moon (CoRR, 2024)

Improved Background Estimation for Gas Plume Identification in Hyperspectral Images. - Scout Jarman; Zigfried Hampel-Arias; Adra Carr; Kevin R. Moon (CoRR, 2024)

Random Forest Autoencoders for Guided Representation Learning. - Adrien Aumon; Shuang Ni; Myriam Lizotte; Guy Wolf; Kevin R. Moon; Jake S. Rhodes (CoRR, 2025)

Lie Group Symmetry Discovery and Enforcement Using Vector Fields. - Ben Shaw 003; Sasidhar Kunapuli; Abram Magner; Kevin R. Moon (CoRR, 2025)