Isotropic activation functions derived from reparameterisation symmetries and SVD diagonalisation enable function-preserving neuron removal and addition in dense networks, supporting up to 50% sparsification and real-time topology adaptation.
Isotropic deep learning: You should consider your (foundational) biases, May 2025
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Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
Isotropic activation functions derived from reparameterisation symmetries and SVD diagonalisation enable function-preserving neuron removal and addition in dense networks, supporting up to 50% sparsification and real-time topology adaptation.