arxiv
PublishedOctober 15, 2026 at 4:00 AM
The minimal width of neural networks and immersions of real projective space
Publisher summary· verbatim
arXiv:2610.20229v1 Announce Type: cross Abstract: We investigate the minimal width of deep neural networks that can approximate all continuous functions from $\mathbb{R}^n$ to $\mathbb{R}^m$ in the topology of uniform convergence on compact subsets. We show that whenever the real projective space $\
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Originally published on arxiv ↗