| Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services | 0 | 0.34 | 2020 |
| Closed-form expressions for maximum mean discrepancy with applications to Wasserstein auto-encoders | 1 | 0.36 | 2019 |
| Interpretable Graph-Based Semi-Supervised Learning via Flows | 0 | 0.34 | 2018 |
| Distributed learning of human mobility patterns from cellular network data | 0 | 0.34 | 2017 |
| Continuous-Flow Graph Transportation Distances. | 4 | 0.50 | 2016 |
| Stable and Informative Spectral Signatures for Graph Matching | 6 | 0.46 | 2014 |
| Compact and Informative Representation of Functional Connectivity for Predictive Modeling. | 0 | 0.34 | 2014 |
| Wasserstein Propagation for Semi-Supervised Learning. | 25 | 1.19 | 2014 |
| Hyperalignment of Multi-subject fMRI Data by Synchronized Projections | 1 | 0.39 | 2014 |
| Earth mover's distances on discrete surfaces | 14 | 0.52 | 2014 |
| Map-based exploration of intrinsic shape differences and variability | 43 | 0.99 | 2013 |
| Graph Matching with Anchor Nodes: A Learning Approach | 4 | 0.37 | 2013 |
| Wavelets on Graphs via Deep Learning. | 18 | 1.70 | 2013 |
| Average Interpolating Wavelets on Point Clouds and Graphs | 7 | 0.54 | 2011 |
| Interpolated eigenfunctions for volumetric shape processing | 9 | 0.42 | 2011 |
| Multiscale Biharmonic Kernels. | 16 | 0.56 | 2011 |
| Robust volumetric shape descriptor | 8 | 0.43 | 2010 |
| A versatile framework for shape description | 4 | 0.38 | 2010 |
| Generalized barycentric coordinates on irregular polygons | 91 | 9.40 | 2002 |
