Mikkel Bue Lykkegaard
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Accelerating uncertainty quantification of groundwater flow modelling using a deep neural network proxy
MB Lykkegaard, TJ Dodwell, D Moxey
Computer Methods in Applied Mechanics and Engineering 383, 113895, 2021
Multilevel delayed acceptance MCMC
MB Lykkegaard, TJ Dodwell, C Fox, G Mingas, R Scheichl
SIAM/ASA Journal on Uncertainty Quantification 11 (1), 1-30, 2023
Multilevel delayed acceptance MCMC with an adaptive error model in PyMC3
MB Lykkegaard, G Mingas, R Scheichl, C Fox, TJ Dodwell
arXiv preprint arXiv:2012.05668, 2020
The human factor: Weather bias in manual lake water quality monitoring
JM Rand, MO Nanko, MB Lykkegaard, D Wain, W King, LD Bryant, ...
Limnology and Oceanography: Methods 20 (5), 288-303, 2022
Where to drill next? A dual-weighted approach to adaptive optimal design of groundwater surveys
MB Lykkegaard, TJ Dodwell
Advances in Water Resources 164, 104219, 2022
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification
L Seelinger, A Reinarz, J Benezech, MB Lykkegaard, L Tamellini, ...
arXiv preprint arXiv:2304.14087, 2023
Gaussian Process Regression models for the properties of micro-tearing modes in spherical tokamak
W Hornsby, A Gray, J Buchanan, B Patel, D Kennedy, F Casson, C Roach, ...
arXiv preprint arXiv:2309.09785, 2023
DaFT: DerivAtive-Free Thinning
N Papadimas, M Lykkegaard, T Dodwell
Multilevel Delayed Acceptance MCMC with Applications to Hydrogeological Inverse Problems
MB Lykkegaard
University of Exeter, 2022
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