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2020 – today
- 2024
[i3]Mike Diessner
, Kevin J. Wilson, Richard D. Whalley:
On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions. CoRR abs/2402.03006 (2024)- 2023
- [i2]Mike Diessner, Kevin J. Wilson, Richard D. Whalley:
NUBO: A Transparent Python Package for Bayesian Optimisation. CoRR abs/2305.06709 (2023) - 2022
- [j1]Mike Diessner, Joseph O'Connor, Andrew Wynn, Sylvain Laizet, Yu Guan, Kevin J. Wilson, Richard D. Whalley:
Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics. Frontiers Appl. Math. Stat. 8 (2022) - [c1]Matthew L. Thomas, Gavin Shaddick, David Topping, Karyn Morrissey, Thomas J. Brannan, Mike Diessner, Ruth C. E. Bowyer, Stefan Siegert, Hugh Coe, James Evans, Fernando Benitez-Paez, James V. Zidek:
A Data Integration Approach to Estimating Personal Exposures to Air Pollution. IEEE Big Data 2022: 4551-4559 - [i1]Mike Diessner, Yu Guan, Kevin J. Wilson, Richard D. Whalley:
On the development of a Bayesian optimisation framework for complex unknown systems. CoRR abs/2207.09154 (2022)
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