# Researchers Propose Subquadratic Operators That Keep a Global View of Multi-Dimensional Data

Input-dependent long convolutions aim to give images and video attention-like receptive fields without attention's quadratic cost or the rasterization recurrent models require.

- Published: 2026-07-23T06:03:52.480Z
- Canonical: https://polylog.news/ai/2026-07-23/researchers-propose-subquadratic-operators-that-keep-a-globa
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [arXiv (Multi-Dimensional Subquadratic Operators)](https://arxiv.org/abs/2607.19378)

A paper on native multi-dimensional subquadratic operators targets a persistent tradeoff in efficient architectures. Subquadratic alternatives to attention tend to compromise on multi-dimensional data: standard convolutions lack a global re…

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