Author

Snigdha Chandan Khilar

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#machine learning Preprint Sep 2026

Low-Discrepancy Dither for Quantized Recurrent State Caches

Mamba-style and hybrid language models compress their past into a fixed-size recurrent state that is rewritten at every generated token. Storing this state in low precision saves memory bandwidth, but every rounding error is fed back into the next update and can accumulate over long generations. Production systems roun...

Snigdha Chandan Khilar · 0 citations

#natural language process... Preprint Jul 2026

A Spectral Phase Admissibility Certificate for Complex Linear Maps

The paper imports the Kontsevich Segal Witten criterion from quantum gravity into machine learning to evaluate complex linear maps to evaluate complex linear maps.

Snigdha Chandan Khilar · 0 citations