added bibtex to readme and updated title

README.rst

@@ -11,9 +11,9 @@
 .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/ambv/black
 
-======================================================================================
-EagerPy: PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
-======================================================================================
+==================================================================================
+EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
+==================================================================================
 
 `EagerPy <https://eagerpy.jonasrauber.de>`_ is a **Python framework** that lets you write code that automatically works natively with `PyTorch <https://pytorch.org>`_, `TensorFlow <https://www.tensorflow.org>`_, `JAX <https://github.com/google/jax>`_, and `NumPy <https://numpy.org>`_. EagerPy is **also great when you work with just one framework** but prefer a clean and consistent API that is fully chainable, provides extensive type annotions and lets you write beautiful code.
 
@@ -97,6 +97,22 @@ developed in PyTorch, TensorFlow and JAX, all with one code base.
 
 EagerPy is also used by other frameworks to reduce code duplication (e.g. `GUDHI <https://github.com/GUDHI/gudhi-devel>`_) or to `compare the performance of different frameworks <https://github.com/jonasrauber/uniformly-sampling-nd-ball>`_.
 
+📄 Citation
+------------
+
+If you use EagerPy, please cite our `paper <https://arxiv.org/abs/2008.04175>`_ using the this BibTex entry:
+
+.. code-block::
+
+   @article{rauber2020eagerpy,
+     title={{EagerPy}: Writing Code That Works Natively with {PyTorch}, {TensorFlow}, {JAX}, and {NumPy}},
+     author={Rauber, Jonas and Bethge, Matthias and Brendel, Wieland},
+     journal={arXiv preprint arXiv:2008.04175},
+     year={2020},
+     url={https://eagerpy.jonasrauber.de},
+   }
+
+
 🐍 Compatibility
 -----------------
 

docs/README.md

@@ -2,7 +2,7 @@
 home: true
 heroImage: /logo.png
 heroText: EagerPy
-tagline: PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
+tagline: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy
 actionText: Get Started →
 actionLink: /guide/
 features: