corel update

Author: FilippoMB

_data/publications.yml

@@ -1,14 +1,17 @@
 - title: "Relational Conformal Prediction for Correlated Time Series"
   authors: "Andrea Cini, Alexander Jenkins, Danilo Mandic, Cesare Alippi, Filippo Maria Bianchi"
+  venue: "ICML 2025"
   figure: "figs/publications/corel.png"
   abstract: "We propose a novel conformal prediction method based on graph deep learning. Our method can be applied on top of any time series predictor, can learn the relationships across the time series and, thanks to an adaptive component, can handle non-exchangeable data and nonstationarity in the time series."
+  github: "https://github.com/andreacini/corel"
   arxiv: "https://arxiv.org/abs/2502.09443"
   bibtex: |
-    @article{cini2025relational,
+    @inproceedings{cini2025relational,
       title   = {Relational Conformal Prediction for Correlated Time Series},
-      author  = {Cini, Andrea and Jenkins, Alexander and Mandic, Danilo and Alippi, Cesare and Bianchi, Filippo Maria},
-      journal = {arXiv preprint arXiv:2502.09443},
-      year    = {2025}
+      booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
+      year      = {2025},
+      series    = {Proceedings of Machine Learning Research},
+      publisher = {PMLR}
     }
 
 - title: "BN-Pool: a Bayesian Nonparametric Approach to Graph Pooling"