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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. |