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Francesca Dominici

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#machine learning Preprint Oct 2026

Ambient Discrete Diffusion: Using the Wrong Data at the Right Time for Data Efficient Learning

We introduce RefineMix, a framework for training discrete diffusion models under severe data scarcity, a common constraint in scientific applications. RefineMix uses out-of-distribution data at selected diffusion times to improve generalization without biasing the sampling distribution. Although this strategy has been...

Julian Kleutgens, M. Tec, Claudio Battiloro et al. · 0 citations
Jul 2026

From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs

This report presents an analytically structured, empirically calibrated, GPU-level methodology for estimating LLM inference energy on NVIDIA H100-class accelerators without direct runtime measurement, and provides transparent, reproducible, and assumption-explicit approximations suitable for model comparison, green-cod...

Tina Vartziotis, Rodopi Kosteli, Elli Vartziotis et al. · 1 citation

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