James M. Murphy

70 papers A* 1A 2C 9Journal 50Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Static and Dynamic Approaches to Computing Barycenters of Probability Measures on Graphs. CoRR David Gentile, James M. Murphy
2026	J	`jnl`	Unbalanced Optimal Transport Dictionary Learning for Unsupervised Hyperspectral Image Clustering. CoRR Joshua Lentz, Nicholas Karris, Alex Cloninger, James M. Murphy
2025	J	`jnl`	Gromov-Wasserstein Barycenters: The Analysis Problem. CoRR Rocio Diaz Martin, Ivan Vladimir Medri, James M. Murphy
2025	A	`conf`	Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications. AISTATS Matthew Werenski, Brendan Mallery, Shuchin Aeron, James M. Murphy
2025	A	`conf`	Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport. AISTATS Brendan Mallery, James M. Murphy, Shuchin Aeron
2025	J	`jnl`	Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport. CoRR Brendan Mallery, James M. Murphy, Shuchin Aeron
2024	—	`conf`	Active Learning for Hyperspectral Images with Regularized Wasserstein Dictionary Learning. WHISPERS Scott Fullenbaum, James M. Murphy
2024	J	`jnl`	Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms. J. Mach. Learn. Res. Nicolás García Trillos, Anna V. Little, Daniel McKenzie, James M. Murphy
2024	C	`conf`	Hyperspectral Image Clustering Via Learned Representation In Wasserstein Space. IGARSS Scott Fullenbaum, Marshall Mueller, Abiy Tasissa, James M. Murphy
2024	—	`conf`	Learning By Evolving Nonlinear Diffusion for Active Learning on Hyperspectral Images. WHISPERS Kabir Tripathi, James M. Murphy
2024	J	`jnl`	Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications. CoRR Matthew Werenski, Brendan Mallery, Shuchin Aeron, James M. Murphy
2024	J	`jnl`	Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations. CoRR Marshall Mueller, James M. Murphy, Abiy Tasissa
2024	C	`conf`	Nonlinear Unmixing of Hyperspectral Images via Regularized Wasserstein Dictionary Learning. IGARSS Scott Fullenbaum, Marshall Mueller, Abiy Tasissa, James M. Murphy
2024	J	`jnl`	On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection. IEEE Trans. Inf. Theory Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron
2024	J	`jnl`	Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering. IEEE Trans. Geosci. Remote. Sens. Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
2023	J	`jnl`	Estimation of entropy-regularized optimal transport maps between non-compactly supported measures. CoRR Matthew Werenski, James M. Murphy, Shuchin Aeron
2023	J	`jnl`	Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms. CoRR Nicolás García Trillos, Anna V. Little, Daniel McKenzie, James M. Murphy
2023	—	`conf`	Geometrically Regularized Wasserstein Dictionary Learning. TAG-ML Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa
2023	J	`jnl`	K-Deep Simplex: Manifold Learning via Local Dictionaries. IEEE Trans. Signal Process. Abiy Tasissa, Pranay Tankala, James M. Murphy, Demba E. Ba
2023	J	`jnl`	Measuring Segregation via Analysis on Graphs. SIAM J. Matrix Anal. Appl. Moon Duchin, James M. Murphy, Thomas Weighill
2023	J	`jnl`	Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling. J. Mach. Learn. Res. Shoaib Bin Masud, Matthew Werenski, James M. Murphy, Shuchin Aeron
2023	J	`jnl`	On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection. CoRR Matthew Werenski, Shoaib Bin Masud, James M. Murphy, Shuchin Aeron
2023	J	`jnl`	Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering. CoRR Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
2023	J	`jnl`	Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images. Remote. Sens. Sam L. Polk, Kangning Cui, Aland H. Y. Chan, David A. Coomes, Robert J. Plemmons, James M. Murphy
2022	C	`conf`	Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. IGARSS Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy
2022	J	`jnl`	Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. CoRR Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy
2022	J	`jnl`	Balancing Geometry and Density: Path Distances on High-Dimensional Data. SIAM J. Math. Data Sci. Anna V. Little, Daniel McKenzie, James M. Murphy
2022	J	`jnl`	Diffusion and Volume Maximization-Based Clustering of Highly Mixed Hyperspectral Images. CoRR Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy
2022	J	`jnl`	GLIDER: function prediction from GLIDE-based neighborhoods. Bioinform. Kapil Devkota, Henri Schmidt, Matthew Werenski, James M. Murphy, Mert Erden, Victor Arsenescu, Lenore J. Cowen
2022	J	`jnl`	Geometric Sparse Coding in Wasserstein Space. CoRR Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa
2022	A*	`conf`	Measure Estimation in the Barycentric Coding Model. ICML Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy
2022	J	`jnl`	Measure Estimation in the Barycentric Coding Model. CoRR Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy
2022	C	`conf`	Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering. IGARSS Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy
2022	—	`conf`	Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry. WHISPERS Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
2022	J	`jnl`	Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry. CoRR Kangning Cui, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
2022	J	`jnl`	Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering. CoRR Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy
2021	J	`jnl`	A Multiscale Environment for Learning by Diffusion. CoRR James M. Murphy, Sam L. Polk
2021	J	`jnl`	CATBOSS: Cluster Analysis of Trajectories Based on Segment Splitting. J. Chem. Inf. Model. Jovan Damjanovic, James M. Murphy, Yu-Shan Lin
2021	C	`conf`	Deep Diffusion Processes for Active Learning of Hyperspectral Images. IGARSS Abiy Tasissa, Duc Nguyen, James M. Murphy
2021	J	`jnl`	Deep Diffusion Processes for Active Learning of Hyperspectral Images. CoRR Abiy Tasissa, Duc Nguyen, James M. Murphy
2021	J	`jnl`	Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks. SIAM J. Math. Data Sci. Lenore Cowen, Kapil Devkota, Xiaozhe Hu, James M. Murphy, Kaiyi Wu
2021	J	`jnl`	Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics. Remote. Sens. Shukun Zhang, James M. Murphy
2021	J	`jnl`	Measuring Segregation via Analysis on Graphs. CoRR Moon Duchin, James M. Murphy, Thomas Weighill
2021	C	`conf`	Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry. IGARSS Sam L. Polk, James M. Murphy
2021	J	`jnl`	Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry. CoRR Sam L. Polk, James M. Murphy
2020	J	`jnl`	Balancing Geometry and Density: Path Distances on High-Dimensional Data. CoRR Anna V. Little, Daniel McKenzie, James M. Murphy
2020	J	`jnl`	Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks. CoRR Lenore Cowen, Kapil Devkota, Xiaozhe Hu, James M. Murphy, Kaiyi Wu
2020	J	`jnl`	GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks. Bioinform. Kapil Devkota, James M. Murphy, Lenore J. Cowen
2020	J	`jnl`	Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics. CoRR Shukun Zhang, James M. Murphy
2020	J	`jnl`	Manifold Learning and Deep Clustering with Local Dictionaries. CoRR Pranay Tankala, Abiy Tasissa, James M. Murphy, Demba E. Ba
2020	C	`conf`	Patch-Based Diffusion Learning for Hyperspectral Image Clustering. IGARSS James M. Murphy
2020	J	`jnl`	Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms. J. Mach. Learn. Res. Anna V. Little, Mauro Maggioni, James M. Murphy
2020	J	`jnl`	Spatially regularized active diffusion learning for high-dimensional images. Pattern Recognit. Lett. James M. Murphy
2020	J	`jnl`	Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. IEEE Geosci. Remote. Sens. Lett. James M. Murphy, Mauro Maggioni
2019	—	`conf`	Automatic Detection of General Anesthetic-States using ECG-Derived Autonomic Nervous System Features. EMBC Sam L. Polk, Kimia Kashkooli, Sunil Belur Nagaraj, Shubham Chamadia, James M. Murphy, Haoqi Sun, M. Brandon Westover, Riccardo Barbieri, Oluwaseun Akeju
2019	—	`conf`	Drug-Specific Models Improve the Performance of an EEG-based Automated Brain-State Prediction System. EMBC Kimia Kashkooli, Sam L. Polk, Shubham Chamadia, Eunice Hahm, Breanna Ethridge, Jacob Gitlin, Reine Ibala, Jennifer Mekonnen, Juan Pedemonte, James M. Murphy, Haoqi Sun, M. Brandon Westover, Oluwaseun Akeju
2019	J	`jnl`	Learning by Active Nonlinear Diffusion. CoRR Mauro Maggioni, James M. Murphy
2019	J	`jnl`	Learning by Unsupervised Nonlinear Diffusion. J. Mach. Learn. Res. Mauro Maggioni, James M. Murphy
2019	J	`jnl`	Spatially regularized active diffusion learning for high-dimensional images. CoRR James M. Murphy
2019	J	`jnl`	Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering. CoRR James M. Murphy, Mauro Maggioni
2019	J	`jnl`	Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion. IEEE Trans. Geosci. Remote. Sens. James M. Murphy, Mauro Maggioni
2019	C	`conf`	Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation. IGARSS James M. Murphy, Mauro Maggioni
2018	—	`conf`	Iterative active learning with diffusion geometry for hyperspectral images. WHISPERS James M. Murphy, Mauro Maggioni
2018	J	`jnl`	Learning by Unsupervised Nonlinear Diffusion. CoRR Mauro Maggioni, James M. Murphy
2018	J	`jnl`	Superresolution of Noisy Remotely Sensed Images Through Directional Representations. IEEE Geosci. Remote. Sens. Lett. Wojciech Czaja, James M. Murphy, Daniel Weinberg
2017	J	`jnl`	Unsupervised Geometric Learning of Hyperspectral Images. CoRR James M. Murphy, Mauro Maggioni
2016	J	`jnl`	Automatic Image Registration of Multimodal Remotely Sensed Data With Global Shearlet Features. IEEE Trans. Geosci. Remote. Sens. James M. Murphy, Jacqueline Le Moigne, David J. Harding
2016	J	`jnl`	Single-Image Superresolution Through Directional Representations. CoRR Wojciech Czaja, James M. Murphy, Daniel Weinberg
2015	—	`—`	Anisotropic Harmonic Analysis and Integration of Remotely Sensed Data. James M. Murphy
2015	C	`conf`	Shearlet features for registration of remotely sensed multitemporal images. IGARSS James M. Murphy, Jacqueline Le Moigne