Ordinary least squares is a special case of the single-layer linear transformer when attention parameters are set via spectral decomposition of the empirical covariance matrix.
The tolman-eichenbaum machine: unifying space and relational memory through generalization in the hippocampal formation.Cell, 183(5):1249–1263, 2020
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Ordinary Least Squares is a Special Case of Transformer
Ordinary least squares is a special case of the single-layer linear transformer when attention parameters are set via spectral decomposition of the empirical covariance matrix.