Update README.md

README.md

@@ -3,7 +3,7 @@ license: cc-by-4.0
 ---
 
 # LoRA-Ensemble: Uncertainty Modelling for Self-attention Networks
-Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler and Mehmet Ozgur Turkoglu - 2024
+Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler and Mehmet Ozgur Turkoglu - Transactions on Machine Learning Research, 2026
 
 [[Paper on ArXiv]](https://arxiv.org/abs/2405.14438)
 
@@ -19,11 +19,13 @@ Alongside our pre-trained models we release the base models we used for our mode
 ## Citation
 If you find our work useful or interesting or use our code, please cite our paper as follows
 ```latex
-@misc{
-  title = {LoRA-Ensemble: Uncertainty Modelling for Self-attention Networks},
-  author = {Halbheer, Michelle and M\"uhlematter, Dominik Jan and Becker, Alexander and Narnhofer, Dominik and Aasen, Helge and Schindler, Konrad and Turkoglu, Mehmet Ozgur}
-  year = {2024}
-  note = {arXiv: 2405.14438}
+@article{
+  muehlematter2026loraensemble,
+  title={Lo{RA}-Ensemble: Efficient Uncertainty Modelling for Self-Attention Networks},
+  author={Dominik J. M{\"u}hlematter and Michelle Halbheer and Alexander Becker and Dominik Narnhofer and Helge Aasen and Konrad Schindler and Mehmet Ozgur Turkoglu},
+  journal={Transactions on Machine Learning Research},
+  issn={2835-8856},
+  year={2026},
 }
 ```