Will Tebbutt

The Gaussian Process Autoregressive Regression Model (GPAR)

Richard E. Turner, James Requeima, Will Tebbutt, 2018, AISTATS.

AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms

Kai Xu, Zoubin Ghahramani, Will Tebbutt, 2019, AABI.

Generalized Physics-Informed Learning through Language-Wide Differentiable Programming

Alan Edelman, Will Tebbutt, Viral B. Shah, 2020, AAAI Spring Symposium: MLPS.

Convolutional conditional neural processes for local climate downscaling pdf

Richard E. Turner, Will Tebbutt, Anna Vaughan, 2021, Geoscientific Model Development.

Scalable Exact Inference in Multi-Output Gaussian Processes

Richard E. Turner, Will Tebbutt, Arno Solin, 2020, ICML.

A Differentiable Programming System to Bridge Machine Learning and Scientific Computing pdf

Alan Edelman, Will Tebbutt, Viral B. Shah, 2019, ArXiv.

Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes

Arno Solin, Richard E. Turner, Will Tebbutt, 2021, UAI.

Convolutional conditional neural processes for local climate downscaling

Richard E. Turner, Will Tebbutt, J. Scott Hosking, 2022, Geoscientific Model Development.