Algebraic integer quantization for machine learning applications; proposes algebraic integer number formats (AINF) for configurable, accurate compressed computation with error-free multiply-accumulate operations
Read the original at arxiv.org→arXiv:2610.12494v1 Announce Type: new Abstract: In this article, we propose algebraic integer number formats (AINF) as a framework for highly configurable and accurate compressed computation. A key property of AINF...
Original headline: "Algebraic Integer Quantization for Machine Learning Applications"
Coverage timeline
- Oct 12, 04:00 UTC arXiv cs.LG lead source Algebraic Integer Quantization for Machine Learning Applications