From bff4bdfb04c0f6c66f7172750ee40281a2ed7017 Mon Sep 17 00:00:00 2001
From: Maren Philipps <55318391+m-philipps@users.noreply.github.com>
Date: Tue, 22 Oct 2024 08:26:44 +0200
Subject: [PATCH] update preprint to article (#1498)

---
 doc/using_pypesto.bib | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

diff --git a/doc/using_pypesto.bib b/doc/using_pypesto.bib
index 890cedc88..c4c85924d 100644
--- a/doc/using_pypesto.bib
+++ b/doc/using_pypesto.bib
@@ -293,16 +293,18 @@ @Misc{LakrisenkoPat2024
   primaryclass     = {q-bio.QM},
 }
 
-@Misc{PhilippsKoe2024,
+@Article{PhilippsKoe2024,
   author           = {Maren Philipps and Antonia Körner and Jakob Vanhoefer and Dilan Pathirana and Jan Hasenauer},
   title            = {Non-Negative Universal Differential Equations With Applications in Systems Biology},
   year             = {2024},
-  archiveprefix    = {arXiv},
-  creationdate     = {2024-06-28T08:40:06},
-  eprint           = {2406.14246},
-  modificationdate = {2024-06-28T08:40:06},
-  primaryclass     = {q-bio.QM},
-  url              = {https://arxiv.org/abs/2406.14246},
+  journal          = {IFAC-PapersOnLine},
+  volume           = {58},
+  number           = {23},
+  pages            = {25-30},
+  issn             = {2405-8963},
+  doi              = {https://doi.org/10.1016/j.ifacol.2024.10.005},
+  url              = {https://www.sciencedirect.com/science/article/pii/S2405896324017518},
+  abstract         = {Universal differential equations (UDEs) leverage the respective advantages of mechanistic models and artificial neural networks and combine them into one dynamic model. However, these hybrid models can suffer from unrealistic solutions, such as negative values for biochemical quantities. We present non-negative UDE (nUDEs), a constrained UDE variant that guarantees non-negative values. Furthermore, we explore regularisation techniques to improve generalisation and interpretability of UDEs.}
 }
 
 @Article{SchmiesterBra2024,