works on
encoder-decoder networks 1infinite-dimensional spaces 1operator learning 1optimal transport 1universal approximation 1

From the 1 of 1 linked paper with an AI index.

collaborators
Showing math.FAShow all

1 paper · 1 filter

math.FA2026

New universal operator approximation theorem for encoder-decoder architectures

Janek Gödeke, Pascal Fernsel

The paper proves a universal approximation theorem for a wide class of encoder‑decoder neural architectures, showing they can uniformly approximate continuous operators between inf…