J. Scott Hosking

According to our database1, J. Scott Hosking authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
0
1
2
3
4
5
3
4
1
1
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Defining error accumulation in ML atmospheric simulators.
CoRR, 2024

Aardvark Weather: end-to-end data-driven weather forecasting.
CoRR, 2024

Sea ice detection using concurrent multispectral and synthetic aperture radar imagery.
CoRR, 2024

2023
Autoregressive Conditional Neural Processes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement.
CoRR, 2022

Ice Core Dating using Probabilistic Programming.
CoRR, 2022

Kernel Learning for Explainable Climate Science.
CoRR, 2022

Stochastic Parameterizations: Better Modelling of Temporal Correlations using Probabilistic Machine Learning.
CoRR, 2022

2021
Convolutional conditional neural processes for local climate downscaling.
CoRR, 2021

2020
Ensembling geophysical models with Bayesian Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Exact Inference in Multi-Output Gaussian Processes.
Proceedings of the 37th International Conference on Machine Learning, 2020


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