Beta-VAE reference added to README.md

README.md

@@ -9,7 +9,11 @@
   * modular python implementations of flows
 
 * Noisy moons
-  * initial test data; [see usage.](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html)
+  * initial test data; [see usage](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html)
+
+* Beta-VAE 
+  * variational autoencoder algorithm extended with a beta parameter to put implicit indepence pressure on the learnt posterior
+  * [find out more](https://paperswithcode.com/method/beta-vae)
 
 ### Implementation [subject to project scope]
 
@@ -27,7 +31,7 @@
 * [Refer to noisy-moons directory](https://github.com/kaanguney/normalizing_flows/tree/main/noisy-moons) for the most recent implementations; incl. visuals.
   
 ### Performance Evaluation [subject to project scope]
-* Performance evaluation will be done at the end of the project.
+* Performance evaluation will be done at the end of the project
   * convergence time
   * correctness
   * robustness