machine-learning
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Denoising diffusion probabilistic models and navigating the moduli spaces of Normal distributions
In this post, we connect the Siegel upper half-space to denoising diffusion probabilistic models (DDPMs), and explore a way of navigating the Siegel upper half-space. Denoising diffusion probabilistic modelsDenoising diffusion probabilistic models (DDPMs) generate data by iteratively removing small amounts… Continue reading