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Spatiotemporal Kronecker Covariance Neural Networks

Cavallo, Andrea et al.
arXiv (All) · Papers
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machine-learning
Multivariate time series contain complex patterns that span across both space and time. While covariance-based statistical tools like spatiotemporal Principal Component Analysis (ST-PCA) help identify these patterns, they are limited to linear operations and prone to estimation errors with limited d
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