Ievgen Bilokopytov

Non-Euclidean Universal Approximation

Modifications to a neural network's input and output layers are often required to accommodate the specificities of most practical learning tasks. However, the impact of such changes on architecture's approximation capabilities is largely not understood. We present general conditions describing featu…