summaryrefslogtreecommitdiff
path: root/README.md
diff options
context:
space:
mode:
authorRémi Flamary <remi.flamary@gmail.com>2018-09-24 10:33:41 +0200
committerRémi Flamary <remi.flamary@gmail.com>2018-09-24 10:33:41 +0200
commit414331cbec21f00333e9de36a8790666c373e93c (patch)
tree5e5fab72c66d2e885c2d98bfc9567b527dfdb62e /README.md
parent75fe96c183852971bb7be1da39af202b9f7d6e6c (diff)
parentc9b99df8fffec1dcc6802ef43b6192774817c5fb (diff)
Merge readme with master
Diffstat (limited to 'README.md')
-rw-r--r--README.md4
1 files changed, 3 insertions, 1 deletions
diff --git a/README.md b/README.md
index 4d824ce..1c8114a 100644
--- a/README.md
+++ b/README.md
@@ -230,4 +230,6 @@ You can also post bug reports and feature requests in Github issues. Make sure t
[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] J. Altschuler, J.Weed, P. Rigollet, (2017) Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration, Advances in Neural Information Processing Systems (NIPS) 31 \ No newline at end of file
+[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.
+
+[21] 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