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ml-recall

#gaussian-conditioning

1 question from Diffusion Models

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Question 1: Short answer

hardAI-checkedDiffusion Models

A scalar diffusion has two steps: x1=0.9 x0+0.1 z1x_1 = \sqrt{0.9}\,x_0 + \sqrt{0.1}\,z_1 and x2=0.8 x1+0.2 z2x_2 = \sqrt{0.8}\,x_1 + \sqrt{0.2}\,z_2, with independent z1,z2∼N(0,1)z_1, z_2 \sim \mathcal{N}(0, 1) (so β1=0.1\beta_1 = 0.1, β2=0.2\beta_2 = 0.2). What is the variance of x1x_1 given both x2x_2 and x0x_0?

a number, 3 decimals