mlsanityData to 13 Oct 2026

On the finite representation of group equivariant operators via permutant measures

arXiv 2008.06340 ↗First posted 7 Aug 2020math.GR cs.LG math.RTcited by 7

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Abstract (arXiv)

The study of G-equivariant operators is of great interest to explain and understand the architecture of neural networks. In this paper we show that each linear G-equivariant operator can be produced by a suitable permutant measure, provided that the group G transitively acts on a finite signal domain X. This result makes available a new method to build linear G-equivariant operators in the finite setting.

Key facts. Cited by 7 papers in the map (data through 13 Oct 2026). First posted on arXiv 7 Aug 2020.

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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 1; 2025: 1; 2026: 1.

7 papers.