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Michael Mitzenmacher

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#artificial intelligence Preprint Sep 2026

TORQUE: Optimizing What (not) to Quantize Before and After Rotation

Uniform random rotations are an effective preprocessing step for quantization: they make normalized coordinate distributions approximately Gaussian, enabling the use of codebooks optimized offline. We introduce TORQUE, a framework that improves on previous quantization works that use random rotations by jointly optimiz...

Ran Ben-Basat, Michael Mitzenmacher, S. Vargaftik · 0 citations

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