Kevin R. Moon

71 papers A* 1A 1B 7C 2Misc 4Journal 48Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment.
CoRR
Adrien Aumon, Myriam Lizotte, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2026 J jnl
Random-Forest-Induced Graph Neural Networks for Tabular Learning.
CoRR
Haozhe Chen, Soheila Farokhi, Kelvyn K. Bladen, Hamid Karimi, Kevin R. Moon
2026 J jnl
Scalable Tree Ensemble Proximities in Python.
CoRR
Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2026 J jnl
Towards 3D Scene Understanding of Gas Plumes in LWIR Hyperspectral Images Using Neural Radiance Fields.
CoRR
Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon
2025 J jnl
Freeze, Diffuse, Decode: Geometry-Aware Adaptation of Pretrained Transformer Embeddings for Antimicrobial Peptide Design.
CoRR
Pankhil Gawade, Adam Izdebski, Myriam Lizotte, Kevin R. Moon, Jake S. Rhodes, Guy Wolf, Ewa Szczurek
2025 J jnl
Improved Gas Plume Identification Using Nearest Neighbor Methods for Background Estimation.
IEEE Trans. Geosci. Remote. Sens.
Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon
2025 J jnl
Lie Group Symmetry Discovery and Enforcement Using Vector Fields.
CoRR
Ben Shaw, Sasidhar Kunapuli, Abram Magner, Kevin R. Moon
2025 J jnl
Random Forest Autoencoders for Guided Representation Learning.
CoRR
Adrien Aumon, Shuang Ni, Myriam Lizotte, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2025 J jnl
The Generalized Proximity Forest.
CoRR
Ben Shaw, Adam G. Rustad, Sofia Pelagalli Maia, Jake S. Rhodes, Kevin R. Moon
2024 B conf
Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method.
IEEE Big Data
Soheila Farokhi, Haozhe Chen, Kevin R. Moon, Hamid Karimi
2024 — conf
Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-of-Sample Extension.
MLSP
Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2024 J jnl
Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension.
CoRR
Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2024 J jnl
Exploring higher-order neural network node interactions with total correlation.
CoRR
Thomas J. Kerby, Teresa White, Kevin R. Moon
2024 J jnl
Forest Proximities for Time Series.
CoRR
Ben Shaw, Jake S. Rhodes, Soukaina Filali Boubrahimi, Kevin R. Moon
2024 J jnl
Improved Background Estimation for Gas Plume Identification in Hyperspectral Images.
CoRR
Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon
2024 J jnl
Incorporating Taylor Series and Recursive Structure in Neural Networks for Time Series Prediction.
CoRR
Jarrod Mau, Kevin R. Moon
2024 — conf
Learning Local Higher-Order Interactions with Total Correlation.
MLSP
Thomas J. Kerby, Teresa White, Kevin R. Moon
2024 C conf
Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images.
IGARSS
Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon
2024 J jnl
Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images.
CoRR
Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon
2024 J jnl
Model agnostic local variable importance for locally dependent relationships.
CoRR
Kelvyn K. Bladen, Adele Cutler, D. Richard Cutler, Kevin R. Moon
2024 C conf
Neural Network Ensembling with Random Features.
ICMLA
Jarrod Mau, Kevin R. Moon
2024 J jnl
Noisy Data Visualization using Functional Data Analysis.
CoRR
Haozhe Chen, Andres Felipe Duque Correa, Guy Wolf, Kevin R. Moon
2024 A conf
Nonparametric Estimation of Non-Smooth Divergences.
CIKM
M. Mahbub Hossain, Alan Wisler, Kevin R. Moon
2024 A* conf
Symmetry Discovery Beyond Affine Transformations.
NeurIPS
Ben Shaw, Abram Magner, Kevin R. Moon
2024 J jnl
Symmetry Discovery Beyond Affine Transformations.
CoRR
Ben Shaw, Abram Magner, Kevin R. Moon
2024 J jnl
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation.
CoRR
Thomas J. Kerby, Kevin R. Moon
2023 B conf
Diffusion Transport Alignment.
IDA
Andrés F. Duque, Guy Wolf, Kevin R. Moon
2023 J jnl
Geometry Regularized Autoencoders.
IEEE Trans. Pattern Anal. Mach. Intell.
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
2023 J jnl
Geometry- and Accuracy-Preserving Random Forest Proximities.
IEEE Trans. Pattern Anal. Mach. Intell.
Jake S. Rhodes, Adele Cutler, Kevin R. Moon
2022 J jnl
Diffusion Transport Alignment.
CoRR
Andrés F. Duque, Guy Wolf, Kevin R. Moon
2022 J jnl
Geometry- and Accuracy-Preserving Random Forest Proximities.
CoRR
Jake S. Rhodes, Adele Cutler, Kevin R. Moon
2022 J jnl
Manifold Alignment with Label Information.
CoRR
Andrés F. Duque, Myriam Lizotte, Guy Wolf, Kevin R. Moon
2021 J jnl
Ensemble Estimation of Generalized Mutual Information With Applications to Genomics.
IEEE Trans. Inf. Theory
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
2021 Misc conf
Gps-Denied Navigation Using Sar Images And Neural Networks.
ICASSP
Teresa White, Jesse Wheeler, Colton Lindstrom, Randall Christensen, Kevin R. Moon
2021 — conf
Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration.
SSP
Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon
2020 — conf
Extendable and invertible manifold learning with geometry regularized autoencoders.
IEEE BigData
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
2020 J jnl
Extendable and invertible manifold learning with geometry regularized autoencoders.
CoRR
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
2020 J jnl
GPS-Denied Navigation Using SAR Images and Neural Networks.
CoRR
Teresa White, Jesse Wheeler, Colton Lindstrom, Randall Christensen, Kevin R. Moon
2020 J jnl
Supervised Visualization for Data Exploration.
CoRR
Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon
2019 — conf
Coarse Graining of Data via Inhomogeneous Diffusion Condensation.
IEEE BigData
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
2019 J jnl
Coarse Graining of Data via Inhomogeneous Diffusion Condensation.
CoRR
Nathan Brugnone, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn, Smita Krishnaswamy
2019 J jnl
Compressed Diffusion.
CoRR
Scott Gigante, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy
2019 J jnl
Convergence Rates for Empirical Estimation of Binary Classification Bounds.
Entropy
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
2019 — conf
Visualizing High Dimensional Dynamical Processes.
MLSP
Andrés F. Duque, Guy Wolf, Kevin R. Moon
2019 J jnl
Visualizing High Dimensional Dynamical Processes.
CoRR
Andrés F. Duque, Guy Wolf, Kevin R. Moon
2018 J jnl
Convergence Rates for Empirical Estimation of Binary Classification Bounds.
CoRR
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
2018 Misc conf
Direct Ensemble Estimation of Density Functionals.
ICASSP
Alan Wisler, Kevin R. Moon, Visar Berisha
2018 J jnl
Ensemble Estimation of Information Divergence
Entropy
Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
2017 J jnl
Direct Ensemble Estimation of Density Functionals.
CoRR
Alan Wisler, Kevin R. Moon, Visar Berisha
2017 J jnl
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios.
CoRR
Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
2017 B conf
Direct estimation of information divergence using nearest neighbor ratios.
ISIT
Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
2017 J jnl
Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors.
CoRR
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
2017 J jnl
Ensemble Estimation of Mutual Information.
CoRR
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
2017 B conf
Ensemble estimation of mutual information.
ISIT
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
2017 Misc conf
Information theoretic structure learning with confidence.
ICASSP
Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
2016 J jnl
Improving Convergence of Divergence Functional Ensemble Estimators.
CoRR
Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
2016 B conf
Improving convergence of divergence functional ensemble estimators.
ISIT
Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
2016 J jnl
Information Theoretic Structure Learning with Confidence.
CoRR
Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
2016 Misc conf
The intrinsic value of HFO features as a biomarker of epileptic activity.
ICASSP
Stephen V. Gliske, William C. Stacey, Kevin R. Moon, Alfred O. Hero III
2015 J jnl
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis.
CoRR
Kevin R. Moon, Jimmy J. Li, Véronique Delouille, Ruben De Visscher, Fraser Watson, Alfred O. Hero III
2015 J jnl
Image patch analysis of sunspots and active regions. II. Clustering via dictionary learning.
CoRR
Kevin R. Moon, Véronique Delouille, Jimmy J. Li, Ruben De Visscher, Fraser Watson, Alfred O. Hero III
2015 — conf
Meta learning of bounds on the Bayes classifier error.
SP/SPE
Kevin R. Moon, Alfred O. Hero III, Véronique Delouille
2015 J jnl
Meta learning of bounds on the Bayes classifier error.
CoRR
Kevin R. Moon, Véronique Delouille, Alfred O. Hero III
2015 J jnl
The intrinsic value of HFO features as a biomarker of epileptic activity.
CoRR
Stephen V. Gliske, Kevin R. Moon, William C. Stacey, Alfred O. Hero III
2014 B conf
Ensemble estimation of multivariate f-divergence.
ISIT
Kevin R. Moon, Alfred O. Hero III
2014 J jnl
Ensemble estimation of multivariate f-divergence.
CoRR
Kevin R. Moon, Alfred O. Hero III
2014 B conf
Image patch analysis and clustering of sunspots: A dimensionality reduction approach.
ICIP
Kevin R. Moon, Jimmy J. Li, Véronique Delouille, Fraser Watson, Alfred O. Hero III
2014 J jnl
Image patch analysis and clustering of sunspots: a dimensionality reduction approach.
CoRR
Kevin R. Moon, Jimmy J. Li, Véronique Delouille, Fraser Watson, Alfred O. Hero III
2014 J jnl
Multivariate f-Divergence Estimation With Confidence.
CoRR
Kevin R. Moon, Alfred O. Hero III
2014 — conf
Multivariate f-divergence Estimation With Confidence.
NIPS
Kevin R. Moon, Alfred O. Hero III
2013 J jnl
Considerations for Ku-Band Scatterometer Calibration Using the Dry-Snow Zone of the Greenland Ice Sheet.
IEEE Geosci. Remote. Sens. Lett.
Kevin R. Moon, David G. Long