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09/11/2023
On the meaning of uncertainty for ethical AI: philosophy and practice
Whether and how data scientists, statisticians and modellers should be a...
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06/02/2023
Linked Deep Gaussian Process Emulation for Model Networks
Modern scientific problems are often multi-disciplinary and require inte...
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11/24/2021
Coexchangeable process modelling for uncertainty quantification in joint climate reconstruction
Any experiment with climate models relies on a potentially large set of ...
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07/04/2021
Deep Gaussian Process Emulation using Stochastic Imputation
We propose a novel deep Gaussian process (DGP) inference method for comp...
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05/04/2020
Cross-validation based adaptive sampling for Gaussian process models
In many real-world applications, we are interested in approximating blac...
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01/31/2020
Classification of Computer Models with Labelled Outputs
Classification is a vital tool that is important for modelling many comp...
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03/05/2019
Emulating computer models with step-discontinuous outputs using Gaussian processes
In many real-world applications, we are interested in approximating func...
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01/22/2019