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MultivariateTensor[Batch, SeqLen, Channels] -> UnivariateTensor[Batch * Channels, SeqLen, 1]
Flatten multivariate time-series channels into the batch dimension to process them as independent univariate series.
Problem it solves
Direct multivariate modeling often suffers from overfitting to spurious cross-channel correlations and lacks generalization.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.