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Merge pull request #152 from Scienfitz/patch-1
Update project-26-baybes.md
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_projects/project-26-baybes.md

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title: Multiple-Context Bayesian Optimization
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topic: general
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team_leads:
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- Joscha Hoche (Merck KGaA / EMD group, @hochej)
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- Viola Muning Li (Merck KGaA / EMD group, @vola-m-li)
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- Marcel Mueller (Merck KGaA / EMD group and University of Bonn, @marcelmbn and @marcelmuellergdi)
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- Rim Rihana (Merck KGaA / EMD group, @RimRihana)
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- Tobias Ploetz (Merck KGaA / EMD group, @tobiasploetz)
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- Joscha Hoche (Merck KGaA / EMD group) @hochej
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- Viola Muning Li (Merck KGaA / EMD group) @vola-m-li
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- Marcel Mueller (Merck KGaA / EMD group and University of Bonn) @marcelmbn, @marcelmuellergdi
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- Rim Rihana (Merck KGaA / EMD group) @RimRihana
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- Tobias Ploetz (Merck KGaA / EMD group) @tobiasploetz
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# Comment these lines by prepending the pound symbol (#) to each line to hide these elements
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contributors:
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- Martin Fitzner (Merck KGaA / EMD group, @Scienfitz)
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- Alexander Hopp (Merck KGaA / EMD group, @AVHopp)
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- Martin Fitzner (Merck KGaA / EMD group) @Scienfitz
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- Alexander Hopp (Merck KGaA / EMD group) @AVHopp
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# github: AC-BO-Hackathon/<your-repo-name>
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# youtube_video: <your-video-id>
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github: AC-BO-Hackathon/project-26-multiple-context-bo
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youtube_video: wK266A0TvZ4
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2020
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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.
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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)!
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References:
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- [https://github.com/emdgroup/baybe](https://github.com/emdgroup/baybe)
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- [Transfer Learning in BayBE](https://emdgroup.github.io/baybe/userguide/transfer_learning.html)

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