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Universit'e Paris-Saclay

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#machine learning Preprint Oct 2026

Stochastic Rounding in Low-Precision Transformer Inference: A Variable-Precision Emulation Study of a Small GPT-2

Should low-precision transformer inference use stochastic rounding (SR) or round-to-nearest (RN)? The answer depends on where in the network you look. We isolate this effect by holding the numerical format fixed and varying only the rounding rule at individual operation sites. To enable experiments at freely chosen pre...

Yohan Chatelain, Pablo de Oliveira Castro Krembil Centre for Neuroinformatics, Camh et al. · 0 citations

Preprint Sep 2026

Speed-quality tradeoff in a physical model of molecular sorting

Eukaryotic cells rely on membrane-mediated processes to compartmentalize biomolecules, counteracting diffusion-driven homogenization. These processes involve the selective sorting and packing of molecules into lipid vesicles, which are then dispatched to appropriate intracellular destinations. Previous works introduced...

E. Floris, Damiano Andreghetti, Thibaut Caplet et al. · 0 citations