Update references

Mention the work of Ravuri et al (2021, Nature) as an example of work using cGANs to generate ensembles
pySTEPS · Oct 2, 2021 · 7e1d3a2 · 7e1d3a2
1 parent eb0963a
commit 7e1d3a2
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/doc/source/user_guide/machine_learning_pysteps.rst b/doc/source/user_guide/machine_learning_pysteps.rst
@@ -97,7 +97,7 @@ The comparison of methods from different types should only be done carefully and
      - :py:mod:`pysteps.nowcasts.lagrangian_probability` or probabilities derived from :py:mod:`pysteps.nowcasts.steps`/:py:mod:`~pysteps.nowcasts.sseps`
      - Reliability diagram (predicted vs observed quantile), probability integral transform (PIT) histogram
    * - Probabilistic (ensemble-based)
-     - GANs, VAEs, etc
-     - Ensemble and probabilities derived from :py:mod:`pysteps.nowcasts.steps`/:py:mod:`~pysteps.nowcasts.sseps`
+     - GANs (Ravuri et al., 2021), VAEs, etc
+     - Ensemble and probabilities derived from :py:mod:`pysteps.nowcasts.steps`/:py:mod:`~pysteps.nowcasts.linda`
      - Probabilistic verification: reliability diagrams, continuous ranked probability scores (CRPS), etc.
        Ensemble verification: rank histograms, spread-error relationships, etc