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Imperial College London
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Contextual embeddings can dramatically enhance predictive accuracy in spatio-temporal forecasting, especially when historical data is sparse.
Unlock 10x faster simulation-based inference in hierarchical models by training on single-site simulations and assembling synthetic multi-site data.