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Artificial intelligence models that predict what a student knows are getting a fundamental rethink. A team of Chinese researchers has unveiled DiffKT, a new framework that borrows...
A diffusion head for probabilistic time series forecasting: why a forecast can get the mean and the variance right and still describe a future that never happens, and how to fix it...
A new conditioned diffusion-based graph attention network from the University of Naples Parthenope delivers probabilistic spatio-temporal forecasts with calibrated uncertainty, ran...
TL;DR: Stable Diffusion is an open-weight, AI-powered text-to-image model that generates high-quality visuals from written prompts. It works by removing noise from a compressed ima...
Этот материал, задуманный как первый в серии статей о дискретных диффузионных моделях, уже несколько месяцев лежал у меня в черновиках. Выход модели Gemini Diffusion от Google пока...
by Joseph Lemaitre, Justin Lessler Forecasting infectious disease incidence can provide important information to guide public health planning, yet it is difficult because epidemic...
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