Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes

Details

Original language	English
Title of host publication	AI for Accelerated Materials Design - NeurIPS Workshop 2024
Publication status	E-pub ahead of print - Dec 2024

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Benjamins, C., Surana, S., Bent, O., Lindauer, M., & Duckworth, P. (2024). Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes. In AI for Accelerated Materials Design - NeurIPS Workshop 2024 Advance online publication.

Benjamins C, Surana S, Bent O, Lindauer M, Duckworth P. Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes. In AI for Accelerated Materials Design - NeurIPS Workshop 2024. 2024 Epub 2024 Dec.

Benjamins, Carolin ; Surana, Shikha ; Bent, Oliver et al. / Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes. AI for Accelerated Materials Design - NeurIPS Workshop 2024. 2024.

@inproceedings{ecac2a0d54ae428cad6c8464a11348df,

title = "Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes",

author = "Carolin Benjamins and Shikha Surana and Oliver Bent and Marius Lindauer and Paul Duckworth",

year = "2024",

month = dec,

language = "English",

booktitle = "AI for Accelerated Materials Design - NeurIPS Workshop 2024",

}

TY - GEN

T1 - Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes

AU - Benjamins, Carolin

AU - Surana, Shikha

AU - Bent, Oliver

AU - Lindauer, Marius

AU - Duckworth, Paul

PY - 2024/12

Y1 - 2024/12

M3 - Conference contribution

BT - AI for Accelerated Materials Design - NeurIPS Workshop 2024

ER -