18 citations · 80 across the 22 of their papers we have counts for
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math.NA2025
Lengthscale-informed sparse grids for kernel methods in high dimensions
Elliot J. Addy, Jonas Latz, Aretha L. Teckentrup
Kernel interpolation, especially in the context of Gaussian process emulation, is a widely used technique in surrogate modelling, where the goal is to cheaply approximate an input-…
stat.ML2025
Sparse Techniques for Regression in Deep Gaussian Processes
Jonas Latz, Aretha L. Teckentrup, Simon Urbainczyk
Gaussian processes (GPs) have gained popularity as flexible machine learning models for regression and function approximation with an in-built method for uncertainty quantification…