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Showing signals surfaced by Gabriel Peyré ×
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Established AI field signal Signal 8d ago

Icnn universality and depth

3 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered
Gabriel Peyré Rémi Flamary

“Approximating convex functions is hard; input-convex neural networks (ReLu networks with positive weights) are convex, but for finite depth, they are not universal approximators. www.gpeyre.com/blog/2026/10...”

3 experts discussed this · 5 posts
Gabriel Peyré: Approximating convex functions is hard; input-convex neural networks (ReLu networks with positive weights) are convex, but for finite depth, they are not universal approximators. www.gpeyre.com/blo…
Rémi Flamary : Approximating convex functions is hard; input-convex neural networks (ReLu networks with positive weights) are convex, but for finite depth, they are not universal approximators. www.gpeyre.com/blo…
David Picard: One banger post per day! I'm becoming suspicious you're drinking the potion magique from Panoramix 😉
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Primary source gpeyre.com ↗