diff --git a/README.md b/README.md
index b5386b0b3a..d906840c65 100644
--- a/README.md
+++ b/README.md
@@ -156,7 +156,6 @@ the following references to the related papers:
   url     = {http://jmlr.org/papers/v21/19-820.html}
 }
 ```
-
 ```
 @article{gluonts_arxiv,
   author  = {Alexandrov, A. and Benidis, K. and Bohlke-Schneider, M. and
@@ -172,7 +171,12 @@ the following references to the related papers:
 ## Further Reading 
 
 * [Collected Papers from the group behind GluonTS](https://github.com/awslabs/gluon-ts/tree/master/REFERENCES.md): a bibliography.
-* [Tutorial at WWW 2020 (with videos)](https://lovvge.github.io/Forecasting-Tutorial-WWW-2020/)
+
+### Overview tutorials
+* [Tutorial at WWW 20202 (with videos)](https://lovvge.github.io/Forecasting-Tutorial-WWW-2020/)
 * [Tutorial at SIGMOD 2019](https://lovvge.github.io/Forecasting-Tutorials/SIGMOD-2019/)
 * [Tutorial at KDD 2019](https://lovvge.github.io/Forecasting-Tutorial-KDD-2019/)
 * [Tutorial at VLDB 2018](https://lovvge.github.io/Forecasting-Tutorial-VLDB-2018/)
+
+### Introductory material
+* [International Symposium of Forecasting: Deep Learning for Forecasting workshop](https://lostella.github.io/ISF-2020-Deep-Learning-Workshop/)
diff --git a/REFERENCES.md b/REFERENCES.md
index e7e7e7a50b..6fd70b8101 100644
--- a/REFERENCES.md
+++ b/REFERENCES.md
@@ -16,7 +16,26 @@ A number of the below methods are available in GluonTS.
 }
 ```
 
-[Deep Factor models, a global-local forecasting method.](http://proceedings.mlr.press/v97/wang19k.html)
+Normalizing Kalman Filters
+```
+@inproceedings{bezene2020nkf,
+	Author = {Emmanuel de B\'{e}zenac, Syama S. Rangapuram, Konstantinos Benidis, Michael Bohlke-Schneider, Richard Kurle, Lorenzo Stella, Hilaf Hasson, Patrick Gallinari, Tim Januschowski},
+	Booktitle = {Advances in Neural Information Processing Systems},
+	Title = {Normalizing Kalman Filters for Multivariate Time Series Analysis},
+	Year = {2020}
+}
+```
+Particle Filters
+```
+@inproceedings{kurle20,
+	Author = {Richard Kurle, Syama Rangapuram, Emmanuel de Bezenac, Stepuhan Günnemann, Jan Gasthaus},
+	Booktitle = {Advances in Neural Information Processing Systems},
+	Title = {Deep Rao-Blackwellised Particle Filters for Time Series Forecasting},
+	Year = {2019}
+}
+```
+
+[Deep Factor models, a global-local forecasting method](http://proceedings.mlr.press/v97/wang19k.html)
 ```
 @inproceedings{wang2019deep,
 	Author = {Wang, Yuyang and Smola, Alex and Maddix, Danielle and Gasthaus, Jan and Foster, Dean and Januschowski, Tim},