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For neural network architectures with layer-specific activations of increasing degree, the established versions of the conjecture fully characterize the set of parameters yielding the same end-to-end network function

for network architectures with layer-specific activations of increasing degree, our established versions of the conjecture fully characterize the set of parameters yielding the same end-to-end network function
Machine Learning30 Aug 2026

http://arxiv.org/abs/2608.27113v1