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ml-recall

#reverse-sde

2 questions from Diffusion Models

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2 questions · 2 min · score and explanations at the end

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Question 1: Single choice

mediumAI-checkedDiffusion Models

The forward process dx=g(t) dwd\mathbf{x} = g(t)\,d\mathbf{w} is simulated backwards in time with step Δt\Delta t, using the score s(x,t)=∇xlog⁡pt(x)\mathbf{s}(\mathbf{x}, t) = \nabla_\mathbf{x}\log p_t(\mathbf{x}) and fresh noise zt∼N(0,I)\mathbf{z}_t \sim \mathcal{N}(\mathbf{0}, I). Which update is one step of the reverse-time SDE?

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