Update README.md

README.md

@@ -8,7 +8,7 @@
 * Scripts
   * modular python implementations of flows
 
-### Implementation 
+### Implementation [Planned, may differ -- use inline with your expectations]
 
 * Parameters
   * number of hidden layers
@@ -18,7 +18,7 @@
   * optimizers 
   * iteration count
   
-### Performance Evaluation
+### Performance Evaluation  [Planned, may differ -- use inline with your expectations]
 * Performance evaluation will be done at the end of the project.
   * convergence time
   * correctness
@@ -27,4 +27,7 @@
 ### References
 * Rezende, D. J., & Mohamed, S. (2015). [Variational Inference with Normalizing Flows.](https://arxiv.org/abs/1505.05770v6)
 * Kobyzev, I., Prince, S. J. D., & Brubaker, M. A. (2019). [Normalizing Flows: An Introduction and Review of Current Methods.](https://arxiv.org/abs/1908.09257v4)
-* This repository is inspired by [Eric Jang](https://github.com/ericjang/normalizing-flows-tutorial) and [TensorFlow probability docs.](https://www.tensorflow.org/probability)
+* Blog posts
+ * [Eric Jang](https://github.com/ericjang/normalizing-flows-tutorial)
+ * [Lilian Weng](https://lilianweng.github.io/lil-log/2018/10/13/flow-based-deep-generative-models.html)
+* [TensorFlow Probability](https://www.tensorflow.org/probability)