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| author | Rémi Flamary <remi.flamary@gmail.com> | 2018-09-24 10:29:37 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2018-09-24 10:29:37 +0200 |
| commit | c9b99df8fffec1dcc6802ef43b6192774817c5fb (patch) | |
| tree | 22939513930c1dd3c28fe93d90f2a7a284a0f82f /README.md | |
| parent | 4367a343aeb0ceccbb99acc0f92797af020bb537 (diff) | |
| parent | ccbe274fd9554492bb88ddaf530c2800a8dc3418 (diff) | |
Merge pull request #64 from rflamary/convolution
[MRG] Wasserstein convolutional barycenter
This PR closes Issue #51
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 2 |
1 files changed, 2 insertions, 0 deletions
@@ -228,3 +228,5 @@ 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 + +[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. |