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Algebraic Expressivity Certificates for Shallow Polynomial Neural Networks

Akbari, Sepehr et al.
arXiv (All) · Papers
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algebraic-geometrycommutative-algebramachine-learning
We study exact representability by bias-free shallow polynomial neural networks using algebraic geometry. Over $\mathbb{C}$, a width-$r$ network with activation $z\mapsto z^d$ computes a sum of $r$ $d$-th powers of linear forms, whose Zariski closure is a Veronese secant variety. Ideal elimination t
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