| 2025 | AISTATS | Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport. | Brendan Mallery, James M. Murphy, Shuchin Aeron |
| 2025 | AISTATS | Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications. | Matthew Werenski, Brendan Mallery, Shuchin Aeron, James M. Murphy |
| 2024 | IGARSS | Nonlinear Unmixing of Hyperspectral Images via Regularized Wasserstein Dictionary Learning. | Scott Fullenbaum, Marshall Mueller, Abiy Tasissa, James M. Murphy |
| 2024 | IGARSS | Hyperspectral Image Clustering Via Learned Representation In Wasserstein Space. | Scott Fullenbaum, Marshall Mueller, Abiy Tasissa, James M. Murphy |
| 2022 | ICML | Measure Estimation in the Barycentric Coding Model. | Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy |
| 2022 | IGARSS | Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering. | Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy |
| 2022 | IGARSS | Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images. | Sam L. Polk, Kangning Cui, Robert J. Plemmons, James M. Murphy |
| 2021 | IGARSS | Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry. | Sam L. Polk, James M. Murphy |
| 2021 | IGARSS | Deep Diffusion Processes for Active Learning of Hyperspectral Images. | Abiy Tasissa, Duc Nguyen, James M. Murphy |
| 2020 | IGARSS | Patch-Based Diffusion Learning for Hyperspectral Image Clustering. | James M. Murphy |
| 2019 | IGARSS | Unsupervised Discriminative Dimension Reduction for Hyperspectral Chemical Plume Segmentation. | James M. Murphy, Mauro Maggioni |
| 2015 | IGARSS | Shearlet features for registration of remotely sensed multitemporal images. | James M. Murphy, Jacqueline Le Moigne |