Mike Diessner

According to our database, Mike Diessner authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

2023

NUBO: A Transparent Python Package for Bayesian Optimisation.

Mike Diessner, Kevin J. Wilson, Richard D. Whalley

CoRR, 2023

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

On the development of a Bayesian optimisation framework for complex unknown systems.

Mike Diessner, Yu Guan, Kevin J. Wilson, Richard D. Whalley

CoRR, 2022

A Data Integration Approach to Estimating Personal Exposures to Air Pollution.

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

Proceedings of the IEEE International Conference on Big Data, 2022