On the development of a Bayesian optimisation framework for complex unknown systems. - Mike Diessner; Yu Guan; Kevin J. Wilson; Richard D. Whalley (CoRR, 2022)

Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics. - Mike Diessner; Joseph O'Connor; Andrew Wynn; Sylvain Laizet; Yu Guan; Kevin J. Wilson; Richard D. Whalley (Frontiers Appl. Math. Stat., 2022)

NUBO: A Transparent Python Package for Bayesian Optimisation. - Mike Diessner; Kevin J. Wilson; Richard D. Whalley (CoRR, 2023)

On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions. - Mike Diessner; Kevin J. Wilson; Richard D. Whalley (CoRR, 2024)