The compiler analyzed it, optimized it, and emitted precisely the machine instructions you expected. Same input, same output.
Existing forecasting methods often force a trade-off: either train a highly specialized model for each site (which is costly and doesn't scale) or adapt a large, general-purpose model (which can be ...
Abstract: Data augmentation is a popular tool for single source domain generalization, which expands the source domain by generating simulated ones, improving generalization on unseen target domains.
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