Search Results for author: Tom R. Andersson

Found 5 papers, 4 papers with code

Sim2Real for Environmental Neural Processes

1 code implementation30 Oct 2023 Jonas Scholz, Tom R. Andersson, Anna Vaughan, James Requeima, Richard E. Turner

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

1 code implementation25 Mar 2023 Wessel P. Bruinsma, Stratis Markou, James Requiema, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner

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.


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