Reference implementation of "Self-Attention at Constant Cost per Token via Symmetry-Aware Taylor Approximation" (Heinsen and Kozachkov, 2026)
-
Updated
Feb 3, 2026 - Python
Reference implementation of "Self-Attention at Constant Cost per Token via Symmetry-Aware Taylor Approximation" (Heinsen and Kozachkov, 2026)
Implementation of a solver of the generalized birthday problem in Python
2D near-field localization with MUSIC and ULA using second-order Taylor expansion for AoA and range estimation.
Implementation of a solver of the generalized birthday problem in Kotlin
This repository contains assignments completed in the course "Convex Optimisation" using python
Mini-course for Elizabeth Liu
Interactive visualization of Taylor series, approximating tg(x)
Demonstration of the mini-lab component activities conducted for the course of Computational Electromagnetics (19CCE203).
Add a description, image, and links to the taylor-approximation topic page so that developers can more easily learn about it.
To associate your repository with the taylor-approximation topic, visit your repo's landing page and select "manage topics."