Update README.rst

README.rst

@@ -7,10 +7,9 @@ adversarial training or not!) and it will be a dependency in many of our
 upcoming code releases. A few projects using the library include:
 
 - `Code <https://github.com/MadryLab/robust_representations>`_  for
-  "Learning Perceptually-Aligned Representations via Adversarial Robustness"
-  [EIS+19]_ 
+  "Learning Perceptually-Aligned Representations via Adversarial Robustness" (https://arxiv.org/abs/1906.00945) 
 - `Code <https://github.com/MadryLab/robustness_applications>`_ for
-  "Image Synthesis with a Single (Robust) Classifier" [STE+19]_
+  "Image Synthesis with a Single (Robust) Classifier" (https://arxiv.org/abs/1906.09453)
 
 *(Have you used the package and found it useful? Let us know!)*. We
 demonstrate how to use the library in a set of walkthroughs and our API
@@ -119,8 +118,3 @@ Documentation
 --------------
 https://robustness.readthedocs.io/en/latest/index.html
 
-
-
-.. [EIS+19] Engstrom L., Ilyas A., Santurkar S., Tsipras D., Tran B., Madry A. (2019). Learning Perceptually-Aligned Representations via Adversarial Robustness. arXiv, arXiv:1906.00945 
-
-.. [STE+19] Santurkar S., Tsipras D., Tran B., Ilyas A., Engstrom L., Madry A. (2019). Image Synthesis with a Single (Robust) Classifier. arXiv, arXiv:1906.09453