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@@ -16,7 +16,7 @@ It provides the following solvers:
* Conditional gradient [6] and Generalized conditional gradient for regularized OT [7].
* Joint OT matrix and mapping estimation [8].
* Wasserstein Discriminant Analysis [11] (requires autograd + pymanopt).
-* Gromov-Wasserstein distances [12]
+* Gromov-Wasserstein distances and barycenters [12]
Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder.