Author

Angelos Korakitis

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#machine learning Preprint Oct 2026

Fast Quantized Johnson$-$Lindenstrauss Transforms

Quantization has emerged as one of the primary techniques for reducing the memory footprint of large language models during inference. A prominent example is Quantized Johnson$-$Lindenstrauss (QJL), which compresses KV caches using 1-bit asymmetric quantization while approximately preserving the inner products required...

Angelos Korakitis, Vasileios Nakos · 0 citations