From 028fd3f83d832dfc74155d2080de80429aa4e7aa Mon Sep 17 00:00:00 2001
From: Sourya Dey <sourya@galois.com>
Date: Wed, 5 Jul 2023 10:35:13 -0400
Subject: [PATCH] update citation to reflect L4DC

---
 README.md      | 18 +++++++++++-------
 pyproject.toml |  2 +-
 2 files changed, 12 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index ed212b8..d6e0e3c 100644
--- a/README.md
+++ b/README.md
@@ -40,7 +40,7 @@ pip install .
 ```
 
 ### Running as a Docker container
-DLKoopman can also be run as a docker container by pulling the image from `galoisinc/dlkoopman:<version>`, e.g. `docker pull galoisinc/dlkoopman:v1.1.2`.
+DLKoopman can also be run as a docker container by pulling the image from `galoisinc/dlkoopman:<version>`, e.g. `docker pull galoisinc/dlkoopman:v1.1.3`.
 
 
 ## Tutorials and examples
@@ -90,14 +90,18 @@ Some common issues and ways to overcome them are described in the [known issues]
 
 
 ## How to cite
-Please cite the [accompanying paper](https://arxiv.org/abs/2211.08992):
+Please cite the [accompanying paper](https://proceedings.mlr.press/v211/dey23a.html):
 ```
-@article{Dey2022_dlkoopman,
+@inproceedings{Dey2023_L4DC,
     author = {Sourya Dey and Eric William Davis},
-    title = {DLKoopman: A deep learning software package for Koopman theory},
-    journal = {arXiv preprint arXiv:2211.08992},
-    year = {2022},
-    note = {Submitted to 5th Annual Learning for Dynamics & Control (L4DC) Conference}
+    title = {{DLKoopman: A deep learning software package for Koopman theory}},
+    booktitle = {Proceedings of The 5th Annual Learning for Dynamics and Control Conference},
+    pages = {1467--1479},
+    volume = {211},
+    series = {Proceedings of Machine Learning Research},
+    publisher = {PMLR},
+    year = {2023},
+    month = {Jun}
 }
 ```
 
diff --git a/pyproject.toml b/pyproject.toml
index a064112..f318f75 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "dlkoopman"
-version = "1.1.2"
+version = "1.1.3"
 description = "A general-purpose Python package for Koopman theory using deep learning."
 authors = ["Sourya Dey <sourya@galois.com>"]
 maintainers = ["Galois dlkoopman team <dlkoopman@galois.com>"]