[D] TurboQuant author replies on OpenReview

Reddit - Machine Learning 1 min read

About this article

I wanted to follow up to yesterday's thread and see if anyone wanted to weigh in on it. This work is far outside of my niche, but it strikes me as an attempt to reframe the issue instead of addressing concerns head on. The part that it bugging me is this: The true novelty of TurboQuant lies in our derivation of the exact distribution followed by the coordinates of rotated vectors, which we use to achieve optimal coordinate-wise quantization. This is worded as if deriving the exact distributio...

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Originally published on March 31, 2026. Curated by AI News.

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