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洞察 - Expressive Power of Linear RNNs with MLPs
Universality of Linear Recurrences Followed by Non-linear Projections: Insights and Validation
Kombination von linearen RNNs und MLPs ermöglicht universelle Approximation von Sequenz-zu-Sequenz-Abbildungen.
Universality of Linear Recurrences Followed by Non-linear Projections: Understanding Complex Eigenvalues in RNNs
Linear RNNs combined with MLPs provide a powerful architecture for sequence modeling, where the linear RNN encodes input sequences losslessly and the MLP performs non-linear processing. The use of complex eigenvalues in the recurrence enhances memory capabilities and information retention.
