3 papers
eess.SP2026
Latent variable models for simultaneous EOV identification and removal in population-based SHM
M. D. Champneys, M. R. Jones, A. J. Hughes +3
The robust treatment of environmental and operational variability (EOV) is an open challenge in population-based structural health monitoring (PBSHM). The difficulty is compounded…
cs.LG2025
Towards real-time surrogate-free Bayesian inversion for neutron reflectometry
Max D. Champneys, Andrew J. Parnell, Philipp Gutfreund +5
Neutron reflectometry (NR) is a key enabling technology for many areas of scientific development. Although the forward reflectivity model is well-known, inferring the physical prop…
stat.ML2025
BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo
Max D. Champneys, Timothy J. Rogers
Model parsimony is an important \emph{cognitive bias} in data-driven modelling that aids interpretability and helps to prevent over-fitting. Sparse identification of nonlinear dyna…