J. Scott Hosking

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Random Field Model

Exact Inference

Top Venues

Publications

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
Aardvark Weather: end-to-end data-driven weather forecasting. CoRR (2024)
Raghul Parthipan, Mohit Anand, Hannah M. Christensen, J. Scott Hosking, Damon J. Wischik
Defining error accumulation in ML atmospheric simulators. CoRR (2024)
Martin S. J. Rogers, Maria Fox, Andrew Fleming, Louisa van Zeeland, Jeremy Wilkinson, J. Scott Hosking
Sea ice detection using concurrent multispectral and synthetic aperture radar imagery. CoRR (2024)
Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
Autoregressive Conditional Neural Processes. ICLR (2023)
Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
Autoregressive Conditional Neural Processes. CoRR (2023)
Vidhi Lalchand, Kenza Tazi, Talay M. Cheema, Richard E. Turner, J. Scott Hosking
Kernel Learning for Explainable Climate Science. CoRR (2022)
Aditya Ravuri, Tom R. Andersson, Ieva Kazlauskaite, Will Tebbutt, Richard E. Turner, J. Scott Hosking, Neil D. Lawrence, Markus Kaiser
Ice Core Dating using Probabilistic Programming. CoRR (2022)
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
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement. CoRR (2022)
Raghul Parthipan, Hannah M. Christensen, J. Scott Hosking, Damon J. Wischik
Stochastic Parameterizations: Better Modelling of Temporal Correlations using Probabilistic Machine Learning. CoRR (2022)
Anna Vaughan, William Tebbutt, J. Scott Hosking, Richard E. Turner
Convolutional conditional neural processes for local climate downscaling. CoRR (2021)
Wessel Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
Scalable Exact Inference in Multi-Output Gaussian Processes. ICML (2020)
Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew P. Juniper, Paul J. Young
Ensembling geophysical models with Bayesian Neural Networks. NeurIPS (2020)
Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew P. Juniper, Paul J. Young
Ensembling geophysical models with Bayesian Neural Networks. CoRR (2020)
Wessel P. Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
Scalable Exact Inference in Multi-Output Gaussian Processes. CoRR (2019)