Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean

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Original languageGerman
Number of pages12
Publication statusPublished - 2024
EventThe 38th Annual Conference on Neural Information Processing Systems - Vancouver, Canada
Duration: 10 Dec 202415 Dec 2024

Conference

ConferenceThe 38th Annual Conference on Neural Information Processing Systems
Abbreviated titleNeurIPS 2024
Country/TerritoryCanada
CityVancouver
Period10 Dec 202415 Dec 2024

Cite this

Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean. / Benjamins, Carolin; Surana, Shikha; Bent, Oliver et al.
2024. Paper presented at The 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada.

Research output: Contribution to conferencePaperResearchpeer review

Benjamins, C, Surana, S, Bent, O, Lindauer, M & Duckworth, P 2024, 'Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean', Paper presented at The 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 10 Dec 2024 - 15 Dec 2024.
Benjamins, C., Surana, S., Bent, O., Lindauer, M., & Duckworth, P. (2024). Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean. Paper presented at The 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada.
Benjamins C, Surana S, Bent O, Lindauer M, Duckworth P. Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean. 2024. Paper presented at The 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada.
Benjamins, Carolin ; Surana, Shikha ; Bent, Oliver et al. / Bayesian Optimisation for Protein Sequence Design : Gaussian Processes with Zero-Shot Protein Language Model Prior Mean. Paper presented at The 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada.12 p.
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title = "Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean",
author = "Carolin Benjamins and Shikha Surana and Oliver Bent and Marius Lindauer and Paul Duckworth",
year = "2024",
language = "Deutsch",
note = "The 38th Annual Conference on Neural Information Processing Systems, NeurIPS 2024 ; Conference date: 10-12-2024 Through 15-12-2024",

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TY - CONF

T1 - Bayesian Optimisation for Protein Sequence Design

T2 - The 38th Annual Conference on Neural Information Processing Systems

AU - Benjamins, Carolin

AU - Surana, Shikha

AU - Bent, Oliver

AU - Lindauer, Marius

AU - Duckworth, Paul

PY - 2024

Y1 - 2024

M3 - Paper

Y2 - 10 December 2024 through 15 December 2024

ER -

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