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)

Sim2Real for Environmental Neural Processes. - Jonas Scholz; Tom R. Andersson; Anna Vaughan; James Requeima; Richard E. Turner (CoRR, 2023)

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)

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)

Probabilistic weather forecasting with machine learning. - Ilan Price; Alvaro Sanchez-Gonzalez; Ferran Alet; Tom R. Andersson; Andrew El-Kadi; Dominic Masters; Timo Ewalds; Jacklynn Stott; Shakir Mohamed; Peter W. Battaglia; Rémi R. Lam; Matthew Willson (Nat., 2025)

Skillful joint probabilistic weather forecasting from marginals. - Ferran Alet; Ilan Price; Andrew El-Kadi; Dominic Masters; Stratis Markou; Tom R. Andersson; Jacklynn Stott; Rémi Lam; Matthew Willson; Alvaro Sanchez-Gonzalez; Peter W. Battaglia (CoRR, 2025)