diff options
Diffstat (limited to 'docs/source')
-rw-r--r-- | docs/source/readme.rst | 8 |
1 files changed, 7 insertions, 1 deletions
diff --git a/docs/source/readme.rst b/docs/source/readme.rst index 1482838..065093e 100644 --- a/docs/source/readme.rst +++ b/docs/source/readme.rst @@ -21,6 +21,7 @@ It provides the following solvers: - Joint OT matrix and mapping estimation [8]. - Wasserstein Discriminant Analysis [11] (requires autograd + pymanopt). +- Gromov-Wasserstein distances and barycenters [12] Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder. @@ -190,6 +191,7 @@ The contributors to this library are: - `Nathalie Gayraud <https://www.linkedin.com/in/nathalie-t-h-gayraud/?ppe=1>`__ - `Stanislas Chambon <https://slasnista.github.io/>`__ +- `Antoine Rolet <https://arolet.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 @@ -199,7 +201,6 @@ languages): in Matlab) - `Nicolas Bonneel <http://liris.cnrs.fr/~nbonneel/>`__ ( C++ code for EMD) -- `Antoine Rolet <https://arolet.github.io/>`__ ( Mex file for EMD ) - `Marco Cuturi <http://marcocuturi.net/>`__ (Sinkhorn Knopp in Matlab/Cuda) @@ -280,6 +281,11 @@ arXiv:1607.05816. Analysis <https://arxiv.org/pdf/1608.08063.pdf>`__. arXiv preprint arXiv:1608.08063. +[12] Gabriel Peyré, Marco Cuturi, and Justin Solomon, +`Gromov-Wasserstein averaging of kernel and distance +matrices <http://proceedings.mlr.press/v48/peyre16.html>`__ +International Conference on Machine Learning (ICML). 2016. + .. |PyPI version| image:: https://badge.fury.io/py/POT.svg :target: https://badge.fury.io/py/POT .. |Build Status| image:: https://travis-ci.org/rflamary/POT.svg?branch=master |