Murphy, James M.

8 publications

AISTATS 2025 Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications Matthew Werenski, Brendan Mallery, Shuchin Aeron, James M. Murphy

AISTATS 2025 Synthesis and Analysis of Data as Probability Measures with Entropy-Regularized Optimal Transport Brendan Mallery, James M. Murphy, Shuchin Aeron

JMLR 2024 Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy

ICMLW 2023 Geometrically Regularized Wasserstein Dictionary Learning Marshall Mueller, Shuchin Aeron, James M. Murphy, Abiy Tasissa

JMLR 2023 Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling Shoaib Bin Masud, Matthew Werenski, James M. Murphy, Shuchin Aeron

ICML 2022 Measure Estimation in the Barycentric Coding Model Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M Murphy

JMLR 2020 Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms Anna Little, Mauro Maggioni, James M. Murphy

JMLR 2019 Learning by Unsupervised Nonlinear Diffusion Mauro Maggioni, James M. Murphy