Merge pull request #152 from Scienfitz/patch-1

Update project-26-baybes.md

_projects/project-26-baybes.md

@@ -3,19 +3,19 @@ number: 26 # leave as-is, maintainers will adjust
 title: Multiple-Context Bayesian Optimization
 topic: general
 team_leads:
-  - Joscha Hoche (Merck KGaA / EMD group, @hochej)
-  - Viola Muning Li (Merck KGaA / EMD group, @vola-m-li)
-  - Marcel Mueller (Merck KGaA / EMD group and University of Bonn, @marcelmbn and @marcelmuellergdi)
-  - Rim Rihana (Merck KGaA / EMD group, @RimRihana)
-  - Tobias Ploetz (Merck KGaA / EMD group, @tobiasploetz)
+  - Joscha Hoche (Merck KGaA / EMD group) @hochej
+  - Viola Muning Li (Merck KGaA / EMD group) @vola-m-li
+  - Marcel Mueller (Merck KGaA / EMD group and University of Bonn) @marcelmbn, @marcelmuellergdi
+  - Rim Rihana (Merck KGaA / EMD group) @RimRihana
+  - Tobias Ploetz (Merck KGaA / EMD group) @tobiasploetz
 
 # Comment these lines by prepending the pound symbol (#) to each line to hide these elements
 contributors:
-  - Martin Fitzner (Merck KGaA / EMD group, @Scienfitz)
-  - Alexander Hopp (Merck KGaA / EMD group, @AVHopp)
+  - Martin Fitzner (Merck KGaA / EMD group) @Scienfitz
+  - Alexander Hopp (Merck KGaA / EMD group) @AVHopp
 
-# github: AC-BO-Hackathon/<your-repo-name>
-# youtube_video: <your-video-id>
+github: AC-BO-Hackathon/project-26-multiple-context-bo
+youtube_video: wK266A0TvZ4
 
 ---
 
@@ -25,6 +25,8 @@ In multi-context BO (which could also be referred to as transfer learning), the
 
 In this project, we aim to investigate _(i)_ the multiple-context performance of BO frameworks on existing benchmarks, _(ii)_ develop new benchmarks for such tasks based on existing data, and _(iii)_ possibly also investigate different ways of incorporating prior knowledge into the model.
 
+Check our submission post [here on X](https://x.com/Scienfitz/status/1777346768105058318) and [here on LinkedIn](https://www.linkedin.com/posts/martinfitzner_i-hope-you-enjoyed-the-bo-hackathon-a-week-activity-7183091952010022914-lHEn)!
+
 References:
   - [https://github.com/emdgroup/baybe](https://github.com/emdgroup/baybe)
-
+  - [Transfer Learning in BayBE](https://emdgroup.github.io/baybe/userguide/transfer_learning.html)