Merge pull request #86 from tvayer/master

[MRG] Gromov-Wasserstein closed form for linesearch and integration of Fused Gromov-Wasserstein

This PR closes #82 

Thank you @tvayer for all the work.

1 files changed, 3 insertions, 0 deletions

diff --git a/README.md b/README.md
index dd34a97..b6b215c 100644
--- a/README.md
+++ b/README.md
@@ -164,6 +164,7 @@ The contributors to this library are:
 * Erwan Vautier (Gromov-Wasserstein)
 * [Kilian Fatras](https://kilianfatras.github.io/)
 * [Alain Rakotomamonjy](https://sites.google.com/site/alainrakotomamonjy/home)
+* [Vayer Titouan](https://tvayer.github.io/)
 
 This toolbox benefit a lot from open source research and we would like to thank the following persons for providing some code (in various languages):
 
@@ -233,3 +234,5 @@ You can also post bug reports and feature requests in Github issues. Make sure t
 [22] J. Altschuler, J.Weed, P. Rigollet, (2017) [Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration](https://papers.nips.cc/paper/6792-near-linear-time-approximation-algorithms-for-optimal-transport-via-sinkhorn-iteration.pdf), Advances in Neural Information Processing Systems (NIPS) 31
 
 [23] Aude, G., Peyré, G., Cuturi, M., [Learning Generative Models with Sinkhorn Divergences](https://arxiv.org/abs/1706.00292), Proceedings of the Twenty-First International Conference on Artficial Intelligence and Statistics, (AISTATS) 21, 2018
+
+[24] Vayer, T., Chapel, L., Flamary, R., Tavenard, R. and Courty, N. (2019). [Optimal Transport for structured data with application on graphs](http://proceedings.mlr.press/v97/titouan19a.html) Proceedings of the 36th International Conference on Machine Learning (ICML).