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HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
Armand Foucault, Franck Mamalet, François Malgouyres
Binary and sparse ternary weights in neural networks enable faster computations and lighter representations, facilitating their use on edge devices with limited computational power…
cs.LG2022
A general approximation lower bound in norm, with applications to feed-forward neural networks
El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz +1
We study the fundamental limits to the expressive power of neural networks. Given two sets , of real-valued functions, we first prove a general lower bound on how well funct…