A hyperbolic 1-D expansive deep CNN is claimed to be strongly universally consistent for regression, extending the Euclidean proof of Lin et al. (2022).
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On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks
A hyperbolic 1-D expansive deep CNN is claimed to be strongly universally consistent for regression, extending the Euclidean proof of Lin et al. (2022).