ReLU activation patterns create polytope decompositions whose dual graph Fiedler partitions correlate with decision boundaries, and cell counts track training loss.
A property of eigenvectors of nonnegative symmetric matrices and its application to graph theory.Czechoslovak Mathematical Journal, 25(4):619–633, 1975
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Topological Signatures of ReLU Neural Network Activation Patterns
ReLU activation patterns create polytope decompositions whose dual graph Fiedler partitions correlate with decision boundaries, and cell counts track training loss.