diff --git a/AUTHORS.rst b/AUTHORS.rst
index 11a8d85e..df4d31b2 100644
--- a/AUTHORS.rst
+++ b/AUTHORS.rst
@@ -7,10 +7,12 @@ Development Lead
 
 * Albert Puig Navarro <albert.puig@cern.ch>
 
-Core Developers
----------------
+Developers
+-----------
 
 * Jonas Eschle <jonas.eschle@cern.ch>
+* Simon Thor
+* Eduardo Rodrigues <eduardo.rodrigues@cern.ch>
 
 Contributors
 ------------
diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index b8aed1dc..60988897 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -8,20 +8,11 @@ Develop
 
 Major Features and Improvements
 -------------------------------
-
-Behavioral changes
-------------------
-
-
-Bug fixes and small changes
----------------------------
-
-Requirement changes
--------------------
-
-
-Thanks
-------
+- Improved GenMultiDecay to have better control on the decay mass of non-stable particles.
+- Added a `particle_model_map` argument to the `GenMultiDecay` class. This is a
+  dict where the key is a particle name and the value is a mass function name.
+  The feature can be seen in the
+  `GenMultiDecay Tutorial <https://github.com/zfit/phasespace/blob/master/docs/GenMultiDecay_Tutorial.ipynb>`_.
 
 
 1.5.0 (27 Nov 2021)
diff --git a/README.rst b/README.rst
index 1079a8e8..feb052e0 100644
--- a/README.rst
+++ b/README.rst
@@ -79,15 +79,6 @@ broad peak).
 Installing
 ==========
 
-``phasespace`` is available on conda-forge and pip.
-
-To install ``phasespace`` with conda, run:
-
-
-.. code-block:: console
-
-    $ conda install phasespace -c conda-forge
-
 To install with pip:
 
 .. code-block:: console
@@ -95,20 +86,24 @@ To install with pip:
     $ pip install phasespace
 
 This is the preferred method to install ``phasespace``, as it will always install the most recent stable release.
-
-For the newest development version, which may be unstable, you can install the version from git with
+To install the necessary dependencies to be used with
+`DecayLanguage <https://github.com/scikit-hep/decaylanguage>`_, use
 
 .. code-block:: console
 
-   $ pip install git+https://github.com/zfit/phasespace
+    $ pip install phasespace[fromdecay]
 
 
 How to use
 ==========
 
+Phasespace can directly be used to generate from a DecayChain using the
+`DecayLanguage <https://github.com/scikit-hep/decaylanguage>`_ package as
+`explained in the tutorial <https://phasespace.readthedocs.io/en/latest/GenMultiDecay_Tutorial.html>`_.
+
 The generation of simple `n`-body decays can be done using the ``nbody_decay`` shortcut to create a decay chain
 with a very simple interface: one needs to pass the mass of the top particle and the masses of the children particle as
-a list, optionally giving the names of the particles. Then, the `generate` method can be used to produce the desired sample.
+a list, optionally giving the names of the particles. Then, the ``generate`` method can be used to produce the desired sample.
 For example, to generate :math:`B^0\to K\pi`, we would do:
 
 .. code-block:: python
diff --git a/docs/GenMultiDecay_Tutorial.ipynb b/docs/GenMultiDecay_Tutorial.ipynb
index 8d88b6ed..57b8edb8 100644
--- a/docs/GenMultiDecay_Tutorial.ipynb
+++ b/docs/GenMultiDecay_Tutorial.ipynb
@@ -417,4 +417,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 1
-}
+}
\ No newline at end of file
diff --git a/setup.cfg b/setup.cfg
index 7f5a0bec..3c0e2e1c 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -30,8 +30,8 @@ packages = find:
 setup_requires =
     setuptools_scm
 install_requires =
-    tensorflow>=2.5,<2.8  # tensorflow.experimental.numpy
-    tensorflow_probability>=0.11
+    tensorflow>=2.6,<2.8  # tensorflow.experimental.numpy
+    tensorflow_probability>=0.11,<0.14
     keras <2.7  # temp fix, not matching version with TF
 python_requires = >=3.7
 include_package_data = True