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| author | Nicolas Courty <ncourty@irisa.fr> | 2018-09-07 11:58:42 +0200 |
|---|---|---|
| committer | Nicolas Courty <ncourty@irisa.fr> | 2018-09-07 11:58:42 +0200 |
| commit | d99abf078537acf6cf49480b9790a9c450889031 (patch) | |
| tree | c9e1138752af5ea4b33d9d46766033386098dd28 /README.md | |
| parent | 5180023fc49d15ad83faccc5674d5966fe9a0385 (diff) | |
Wasserstein convolutional barycenter
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 4 |
1 files changed, 3 insertions, 1 deletions
@@ -227,4 +227,6 @@ You can also post bug reports and feature requests in Github issues. Make sure t [19] Seguy, V., Bhushan Damodaran, B., Flamary, R., Courty, N., Rolet, A.& Blondel, M. [Large-scale Optimal Transport and Mapping Estimation](https://arxiv.org/pdf/1711.02283.pdf). International Conference on Learning Representation (2018) -[20] Cuturi, M. and Doucet, A. (2014) [Fast Computation of Wasserstein Barycenters](http://proceedings.mlr.press/v32/cuturi14.html). International Conference in Machine Learning
\ No newline at end of file +[20] Cuturi, M. and Doucet, A. (2014) [Fast Computation of Wasserstein Barycenters](http://proceedings.mlr.press/v32/cuturi14.html). International Conference in Machine Learning + +[21] Solomon, J., De Goes, F., Peyré, G., Cuturi, M., Butscher, A., Nguyen, A. & Guibas, L. (2015). [Convolutional wasserstein distances: Efficient optimal transportation on geometric domains](https://dl.acm.org/citation.cfm?id=2766963). ACM Transactions on Graphics (TOG), 34(4), 66.
\ No newline at end of file |