Skip to content

tom-andersson/EDS2023-convgnp-sensor-placement

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 

Repository files navigation

Environmental Sensor Placement with Convolutional Gaussian Neural Processes

Codebase for reproducing the experiments in the 'Environmental Sensor Placement with Convolutional Gaussian Neural Processes' paper (in press, Environmental Data Science) [1], presented at the Climate Informatics 2022 conference.

Work in progress: This codebase will be updated soon! For the time being, check out DeepSensor, a Python package for modelling xarray and pandas data with neural processes: https://github.com/tom-andersson/deepsensor/tree/main

[1] Andersson, T.R., Bruinsma, W.P., Markou, S., Requeima, J., Coca-Castro, A., Vaughan, A., Ellis, A.-L., Lazzara, M., Jones, D.C., Hosking, J.S., Turner, R.E., 2023. Environmental Sensor Placement with Convolutional Gaussian Neural Processes. https://doi.org/10.48550/arXiv.2211.10381

About

Codebase for reproducing the results in 'Environmental Sensor Placement with Convolutional Gaussian Neural Processes' in Environmental Data Science

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published