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A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work paper by Arxiv
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A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work

by Arxiv arxiv/2604.18555
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This note clarifies the relationship between the recent TurboQuant work and the earlier DRIVE (NeurIPS 2021) and EDEN (ICML 2022) schemes. DRIVE is a 1-bit quantizer that EDEN extended to any $b>0$ bits per coordinate; we refer to them collectively as EDEN. First, TurboQuant$_{\text{mse}}$ is a special case of EDEN obtained by fixing EDEN's scalar scale parameter to $S=1$. EDEN supports both biased and unbiased quantization, each optimized by a different $S$ (chosen via methods described in...

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BibTeX 
@misc{arxiv_2604_18555,
  author = {Arxiv},
  title = {A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work Paper},
  year = {2026},
  howpublished = {\url{https://arxiv.org/abs/2604.18555}},
  note = {Accessed via Free2AITools.}
}
APA Style
Arxiv. (2026). A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work [Paper]. Free2AITools. https://arxiv.org/abs/2604.18555

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Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 80
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πŸ“ Executive Summary

"This note clarifies the relationship between the recent TurboQuant work and the earlier DRIVE (NeurIPS 2021) and EDEN (ICML 2022) schemes. DRIVE is a 1-bit quantizer that EDEN extended to any $b>0$ bits per coordinate; we refer to them collectively as EDEN. First, TurboQuant$_{\text{mse}}$ is a special case of EDEN obtained by fixing EDEN's scalar scale parameter to $S=1$. EDEN supports both biased and unbiased quantization, each optimized by a different $S$ (chosen via methods described in..."

❝ Cite Node 

@article{Ben-Basat2026A,
  title={A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work},
  author={Ran Ben-Basat},
  journal={arXiv preprint arXiv:2604.18555},
  year={2026}
}

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Ran Ben-Basat

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2604.18555
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2604.18555
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arxiv
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Arxiv
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arXiv
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