TVSCM constrains fully connected layers to two-valued symmetric circulant weight matrices, delivering over 80x parameter reduction with accuracy falling from 97.6% to 93.5% on MNIST and 93.1% on MIT-BIH arrhythmia data.
Real Block-Circulant Matrices and DCT-DST Algorithm for Transformer Neural Network.Frontiers in Applied Mathematics and Statistics, 9:1260187
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Two-Valued Symmetric Circulant Matrices: Applications in Deep Learning
TVSCM constrains fully connected layers to two-valued symmetric circulant weight matrices, delivering over 80x parameter reduction with accuracy falling from 97.6% to 93.5% on MNIST and 93.1% on MIT-BIH arrhythmia data.