Search Results for author:
Found 5 papers, 4 papers with code
Aardvark Weather: end-to-end data-driven weather forecasting
Machine learning is revolutionising medium-range weather prediction.
Sim2Real for Environmental Neural Processes
On held-out weather stations, Sim2Real training substantially outperforms the same model architecture trained only with reanalysis data or only with station data, showing that reanalysis data can serve as a stepping stone for learning from real observations.
Autoregressive Conditional Neural Processes
Our work provides an example of how ideas from neural distribution estimation can benefit neural processes, and motivates research into the AR deployment of other neural process models.
Environmental Sensor Placement with Convolutional Gaussian Neural Processes
This paper proposes using a convolutional Gaussian neural process (ConvGNP) to address these issues.
Ice Core Dating using Probabilistic Programming
Ice cores record crucial information about past climate.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
