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Diffstat (limited to 'docs/source/readme.rst')
-rw-r--r-- | docs/source/readme.rst | 28 |
1 files changed, 25 insertions, 3 deletions
diff --git a/docs/source/readme.rst b/docs/source/readme.rst index ee32e2b..a8f1bc0 100644 --- a/docs/source/readme.rst +++ b/docs/source/readme.rst @@ -34,6 +34,9 @@ POT provides the following generic OT solvers (links to examples): [21] and unmixing [4]. - Sinkhorn divergence [23] and entropic regularization OT from empirical data. +- Debiased Sinkhorn barycenters `Sinkhorn divergence + barycenter <auto_examples/barycenters/plot_debiased_barycenter.html>`__ + [37] - `Smooth optimal transport solvers <auto_examples/plot_OT_1D_smooth.html>`__ (dual and semi-dual) for KL and squared L2 regularizations [17]. @@ -44,7 +47,8 @@ POT provides the following generic OT solvers (links to examples): distances <auto_examples/gromov/plot_gromov.html>`__ and `GW barycenters <auto_examples/gromov/plot_gromov_barycenter.html>`__ - (exact [13] and regularized [12]) + (exact [13] and regularized [12]), differentiable using gradients + from - `Fused-Gromov-Wasserstein distances solver <auto_examples/gromov/plot_fgw.html#sphx-glr-auto-examples-plot-fgw-py>`__ and `FGW @@ -70,7 +74,8 @@ POT provides the following generic OT solvers (links to examples): (exact [29] and entropic [3] formulations). - `Sliced Wasserstein <auto_examples/sliced-wasserstein/plot_variance.html>`__ - [31, 32]. + [31, 32] and Max-sliced Wasserstein [35] that can be used for + gradient flows [36]. - `Several backends <https://pythonot.github.io/quickstart.html#solving-ot-with-multiple-backends>`__ for easy use of POT with @@ -278,7 +283,8 @@ The contributors to this library are Rakotomamonjy <https://sites.google.com/site/alainrakotomamonjy/home>`__ - `Vayer Titouan <https://tvayer.github.io/>`__ (Gromov-Wasserstein -, Fused-Gromov-Wasserstein) -- `Hicham Janati <https://hichamjanati.github.io/>`__ (Unbalanced OT) +- `Hicham Janati <https://hichamjanati.github.io/>`__ (Unbalanced OT, + Debiased barycenters) - `Romain Tavenard <https://rtavenar.github.io/>`__ (1d Wasserstein) - `Mokhtar Z. Alaya <http://mzalaya.github.io/>`__ (Screenkhorn) - `Ievgen Redko <https://ievred.github.io/>`__ (Laplacian DA, JCPOT) @@ -501,6 +507,22 @@ gans <https://openaccess.thecvf.com/content_CVPR_2019/papers/Deshpande_Max-Slice In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10648-10656). +[36] Liutkus, A., Simsekli, U., Majewski, S., Durmus, A., & Stöter, F. +R. (2019, May). `Sliced-Wasserstein flows: Nonparametric generative +modeling via optimal transport and +diffusions <http://proceedings.mlr.press/v97/liutkus19a/liutkus19a.pdf>`__. +In International Conference on Machine Learning (pp. 4104-4113). PMLR. + +[37] Janati, H., Cuturi, M., Gramfort, A. `Debiased sinkhorn +barycenters <http://proceedings.mlr.press/v119/janati20a/janati20a.pdf>`__ +Proceedings of the 37th International Conference on Machine Learning, +PMLR 119:4692-4701, 2020 + +[38] C. Vincent-Cuaz, T. Vayer, R. Flamary, M. Corneli, N. Courty, +`Online Graph Dictionary +Learning <https://arxiv.org/pdf/2102.06555.pdf>`__, International +Conference on Machine Learning (ICML), 2021. + .. |PyPI version| image:: https://badge.fury.io/py/POT.svg :target: https://badge.fury.io/py/POT .. |Anaconda Cloud| image:: https://anaconda.org/conda-forge/pot/badges/version.svg |