31 citations · 75 across the 18 of their papers we have counts for
3 papers · 1 filter
Multi-view Bayesian optimisation in an input-output reduced space for engineering design
Thomas A. Archbold, Ieva Kazlauskaite, Fehmi Cirak
Bayesian optimisation is an adaptive sampling strategy for constructing a Gaussian process surrogate to efficiently search for the global minimum of a black-box computational model…
Variational Bayesian surrogate modelling with application to robust design optimisation
Thomas A. Archbold, Ieva Kazlauskaite, Fehmi Cirak
Surrogate models provide a quick-to-evaluate approximation to complex computational models and are essential for multi-query problems like design optimisation. The inputs of curren…
Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices
Jan Povala, Ieva Kazlauskaite, Eky Febrianto +2
Inverse problems involving partial differential equations (PDEs) are widely used in science and engineering. Although such problems are generally ill-posed, different regularisatio…