mlsanityData to 14 Oct 2026

Kolmogorov--Arnold stability

arXiv 2504.05255 ↗First posted 7 Apr 2025cs.LG cs.AI math.FAcited by 3

Not on the map. Why?

Abstract (arXiv)

Regarding the representation theorem of Kolmogorov and Arnold (KA) as an algorithm for representing or <<expressing>> functions, we test its robustness by analyzing its stability to withstand re-parameterizations of the hidden space. One may think of such re-parameterizations as the work of an adversary attempting to foil the construction of the KA outer function. We find KA to be stable under countable collections of continuous re-parameterizations, but unearth a question about the equi-continuity of the outer functions that, so far, obstructs taking limits and defeating continuous groups of re-parameterizations. This question on the regularity of the outer functions is relevant to the debate over the applicability of KA to the general theory of NNs.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 3 of its 19 references that are in the map. First posted on arXiv 7 Apr 2025.

Builds on

3 of 19 references.

References · 3

  1. 2014Explaining and Harnessing Adversarial Examplescited by 7,364
  2. 2024KAN: Kolmogorov-Arnold Networkscited by 649
  3. 2024The Proof of Kolmogorov-Arnold May Illuminate Neural Network Learningcited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.