@@ -172,6 +172,10 @@ want a quick look:
172172 images <https://github.com/rflamary/POT/blob/master/notebooks/plot_otda_mapping_colors_images.ipynb> `__
173173- `Wasserstein Discriminant
174174 Analysis <https://github.com/rflamary/POT/blob/master/notebooks/plot_WDA.ipynb> `__
175+ - `Gromov
176+ Wasserstein <https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov.ipynb> `__
177+ - `Gromov Wasserstein
178+ Barycenter <https://github.com/rflamary/POT/blob/master/notebooks/plot_gromov_barycenter.ipynb> `__
175179
176180You can also see the notebooks with `Jupyter
177181nbviewer <https://nbviewer.jupyter.org/github/rflamary/POT/tree/master/notebooks/> `__.
@@ -192,6 +196,7 @@ The contributors to this library are:
192196 Gayraud <https://www.linkedin.com/in/nathalie-t-h-gayraud/?ppe=1> `__
193197- `Stanislas Chambon <https://slasnista.github.io/ >`__
194198- `Antoine Rolet <https://arolet.github.io/ >`__
199+ - Erwan Vautier (Gromov-Wasserstein)
195200
196201This toolbox benefit a lot from open source research and we would like
197202to thank the following persons for providing some code (in various
@@ -204,6 +209,20 @@ languages):
204209- `Marco Cuturi <http://marcocuturi.net/ >`__ (Sinkhorn Knopp in
205210 Matlab/Cuda)
206211
212+ Using and citing the toolbox
213+ ----------------------------
214+
215+ If you use this toolbox in your research and find it useful, please cite
216+ POT using the following bibtex reference:
217+
218+ ::
219+
220+ @article{flamary2017pot,
221+ title={POT Python Optimal Transport library},
222+ author={Flamary, R{\'e}mi and Courty, Nicolas},
223+ year={2017}
224+ }
225+
207226Contributions and code of conduct
208227---------------------------------
209228
@@ -286,6 +305,11 @@ arXiv:1608.08063.
286305matrices <http://proceedings.mlr.press/v48/peyre16.html> `__
287306International Conference on Machine Learning (ICML). 2016.
288307
308+ [13] Mémoli, Facundo. `Gromov–Wasserstein distances and the metric
309+ approach to object
310+ matching <https://media.adelaide.edu.au/acvt/Publications/2011/2011-Gromov%E2%80%93Wasserstein%20Distances%20and%20the%20Metric%20Approach%20to%20Object%20Matching.pdf> `__.
311+ Foundations of computational mathematics 11.4 (2011): 417-487.
312+
289313.. |PyPI version | image :: https://badge.fury.io/py/POT.svg
290314 :target: https://badge.fury.io/py/POT
291315.. |Build Status | image :: https://travis-ci.org/rflamary/POT.svg?branch=master
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