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The Alexander-Hirschowitz theorem for neurovarieties

Massarenti, A. et al.
arXiv (All) · Papers
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14n15algebraic-geometryartificial-intelligencecommutative-algebramachine-learning
We study the dimension and identifiability of neurovarieties associated to polynomial neural networks. We give an independent geometric proof that the linear bounds $d_i\geq 2n_i-1$ on the activation degrees imply non defectiveness for any number of outputs, a dimension statement previously obtained
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