Scalable Exact Inference in Multi-Output Gaussian Processes. - Wessel P. Bruinsma; Eric Perim; William Tebbutt; J. Scott Hosking; Arno Solin; Richard E. Turner (ICML, 2020)

Ensembling geophysical models with Bayesian Neural Networks. - Ushnish Sengupta; Matt Amos; J. Scott Hosking; Carl Edward Rasmussen; Matthew P. Juniper; Paul J. Young (NeurIPS, 2020)

Convolutional conditional neural processes for local climate downscaling. - Anna Vaughan; William Tebbutt; J. Scott Hosking; Richard E. Turner (CoRR, 2021)

Stochastic Parameterizations: Better Modelling of Temporal Correlations using Probabilistic Machine Learning. - Raghul Parthipan; Hannah M. Christensen; J. Scott Hosking; Damon J. Wischik (CoRR, 2022)

Kernel Learning for Explainable Climate Science. - Vidhi Lalchand; Kenza Tazi; Talay M. Cheema; Richard E. Turner; J. Scott Hosking (CoRR, 2022)

Ice Core Dating using Probabilistic Programming. - Aditya Ravuri; Tom R. Andersson; Ieva Kazlauskaite; Will Tebbutt; Richard E. Turner; J. Scott Hosking; Neil D. Lawrence; Markus Kaiser 001 (CoRR, 2022)

Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement. - Tom R. Andersson; Wessel P. Bruinsma; Stratis Markou; James Requeima; Alejandro Coca-Castro; Anna Vaughan; Anna-Louise Ellis; Matthew Lazzara; Daniel C. Jones; J. Scott Hosking; Richard E. Turner (CoRR, 2022)

Autoregressive Conditional Neural Processes. - Wessel P. Bruinsma; Stratis Markou; James Requeima; Andrew Y. K. Foong; Tom R. Andersson; Anna Vaughan; Anthony Buonomo; J. Scott Hosking; Richard E. Turner (ICLR, 2023)

Sea ice detection using concurrent multispectral and synthetic aperture radar imagery. - Martin S. J. Rogers; Maria Fox 001; Andrew Fleming; Louisa van Zeeland; Jeremy Wilkinson; J. Scott Hosking (CoRR, 2024)

Aardvark Weather: end-to-end data-driven weather forecasting. - Anna Vaughan; Stratis Markou; Will Tebbutt; James Requeima; Wessel P. Bruinsma; Tom R. Andersson; Michael Herzog; Nicholas D. Lane; J. Scott Hosking; Richard E. Turner (CoRR, 2024)

Defining error accumulation in ML atmospheric simulators. - Raghul Parthipan; Mohit Anand; Hannah M. Christensen; J. Scott Hosking; Damon J. Wischik (CoRR, 2024)

End-to-end data-driven weather prediction. - Anna Allen; Stratis Markou; Will Tebbutt; James Requeima; Wessel P. Bruinsma; Tom R. Andersson; Michael Herzog; Nicholas D. Lane; Matthew Chantry; J. Scott Hosking; Richard E. Turner (Nat., 2025)