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HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecasting
In recent years, a variety of ML architectures and techniques have seen success in producing skillful medium range weather forecasts.
Learning to forecast diagnostic parameters using pre-trained weather embedding
In the second stage, the autoencoder is frozen and "downstream" models are trained to predict diagnostic variables using only the latent representations of prognostic variables as input.
Verification against in-situ observations for Data-Driven Weather Prediction
With an eye towards climate justice and the uneven availability of weather data: is the simulation equally good for all regions of the world, and would DDWPs exacerbate biases present in the training data?
Neural Graph Machines: Learning Neural Networks Using Graphs
In this work, we propose a training framework with a graph-regularised objective, namely "Neural Graph Machines", that can combine the power of neural networks and label propagation.
Smart Reply: Automated Response Suggestion for Email
In this paper we propose and investigate a novel end-to-end method for automatically generating short email responses, called Smart Reply.
