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2020 – today
- 2024
[i11]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 abs/2401.06009 (2024)- [i10]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 abs/2404.00411 (2024) - [i9]Raghul Parthipan, Mohit Anand, Hannah M. Christensen, J. Scott Hosking, Damon J. Wischik:
Defining error accumulation in ML atmospheric simulators. CoRR abs/2405.14714 (2024) - 2023
- [c3]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 - [i8]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 abs/2303.14468 (2023) - 2022
- [i7]Raghul Parthipan, Hannah M. Christensen, J. Scott Hosking, Damon J. Wischik:
Stochastic Parameterizations: Better Modelling of Temporal Correlations using Probabilistic Machine Learning. CoRR abs/2203.14814 (2022) - [i6]Vidhi Lalchand, Kenza Tazi
, Talay M. Cheema, Richard E. Turner, J. Scott Hosking:
Kernel Learning for Explainable Climate Science. CoRR abs/2209.04947 (2022) - [i5]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 abs/2210.16568 (2022) - [i4]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 abs/2211.10381 (2022) - 2021
- [i3]Anna Vaughan, William Tebbutt, J. Scott Hosking, Richard E. Turner:
Convolutional conditional neural processes for local climate downscaling. CoRR abs/2101.07950 (2021) - 2020
- [c2]Wessel P. Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner:
Scalable Exact Inference in Multi-Output Gaussian Processes. ICML 2020: 1190-1201 - [c1]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 - [i2]Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew P. Juniper, Paul J. Young:
Ensembling geophysical models with Bayesian Neural Networks. CoRR abs/2010.03561 (2020)
2010 – 2019
- 2019
- [i1]Wessel P. Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner:
Scalable Exact Inference in Multi-Output Gaussian Processes. CoRR abs/1911.06287 (2019)
Coauthor Index
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