Author

Louis Sharrock

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#machine learning Preprint Oct 2026

Predictively Oriented Gaussian Process Posteriors

Gaussian Processes (GPs) are a powerful tool for modelling and quantifying uncertainty in functional relationships. However, they require practitioners to make a number of design decisions, such as the choice of the kernel and the observation model. Suboptimal choices can produce misspecified models that do not capture...

Callum Lau, Jeremias Knoblauch, Louis Sharrock · 0 citations

Jul 2026

LatentFlow: A General Framework for Conditioning Stochastic Processes

LatentFlow is introduced, a single framework for conditioning stochastic processes, with no learned neural approximations and no training, that enables conditional sampling in seconds on a single desktop CPU across model classes that have never shared a scalable method.

Louis Sharrock, L. Astfalck, Henry B. Moss · arXiv.org · 0 citations