.. _sphx_glr__auto_examples_comparisons:

Kernel vs. Hausdorff vs. Sinkhorn 
--------------------------------------

See the difference between
our **kernel**, **hausdorff** and **sinkhorn**
loss functions:



.. raw:: html

    <div class="sphx-glr-thumbnails">


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Let&#x27;s showcase the properties of kernel MMDs, Hausdorff and Sinkhorn divergences on a simple to...">

.. only:: html

  .. image:: /_auto_examples/comparisons/images/thumb/sphx_glr_plot_gradient_flows_1D_thumb.png
    :alt:

  :ref:`sphx_glr__auto_examples_comparisons_plot_gradient_flows_1D.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Gradient flows in 1D</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Let&#x27;s showcase the properties of kernel MMDs, Hausdorff and Sinkhorn divergences on a simple to...">

.. only:: html

  .. image:: /_auto_examples/comparisons/images/thumb/sphx_glr_plot_gradient_flows_2D_thumb.png
    :alt:

  :ref:`sphx_glr__auto_examples_comparisons_plot_gradient_flows_2D.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Gradient flows in 2D</div>
    </div>


.. raw:: html

    </div>


.. toctree::
   :hidden:

   /_auto_examples/comparisons/plot_gradient_flows_1D
   /_auto_examples/comparisons/plot_gradient_flows_2D