Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
This repository contains code and data for the experiments in the paper
Raif Rustamov and Subhabrata Majumdar
International Conference on Machine Learning (ICML), 2023.
You should have the R statistical software installed in your system. To install the dependencies, run the following in bash:
Rscript install_dependencies.R
Below are the the contents of this repository.
| Subdirectory | Method |
|---|---|
scripts/sim_line.R |
ISW implementation on real line, synthetic experiments |
scripts/sim_circle.R |
ISW implementation on a circle, synthetic experiments |
scripts/sim_cyl.R |
ISW implementation on a cylinder, synthetic experiments |
scripts/chicago_crime.R |
ISW implementation on graph data, Chicago Crime |
data/chicago_theft2018.RData |
The Chicago Crime dataset |
Please feel free to email with questions of comments.