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Christoffer Koo Øhrstrøm

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#machine learning Preprint Feb 2026

Parabolic Positional Encoding: A Vision-Centric, Principled, Extrapolatable, and General Approach

Parabolic Positional Encoding is proposed, a parabola-based positional encoding for vision modalities in attention-based architectures designed from principles distilled from prior work: translation invariance, rotation invariance, distance decay, directionality, and context awareness.

Christoffer Koo Øhrstrøm, Rafael I. Cabral Muchacho, Yifei Dong et al. · 0 citations

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