New representation theorem links discretization-stable operator learning to Markov kernel networks
An arXiv paper presents a representation theorem showing that discretization-stable operator learning—approximating function-to-function maps robust to changing input discretization—can be realized via Markov kernel networks.
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- 2026-11-10 05:00 · arXiv cs.LG
All roads lead to Markov kernel networks: A representation theorem for discretization-stable learning