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A novel Kronecker Delta Rule enables associative memories to revise targeted information with minimal interference, unlocking stable, long-context linear attention.
TiRex-2 achieves state-of-the-art performance while maintaining constant inference costs, revolutionizing how we approach multivariate time series forecasting.
xLSTM outperforms its competitors in complex sequence modeling tasks by leveraging advanced state tracking and memory correction mechanisms.