the reverse conditional probability is tractable when conditioned on x0:
已知 \(x_0\) 的情况下，反向条件概率可导？为什么
5 Matching Annotations
- Aug 2024
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lilianweng.github.io lilianweng.github.io
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Unfortunately, we cannot easily estimate q(xt−1|xt) because it needs to use the entire dataset and therefore we need to learn a model pθ to approximate these conditional probabilities in order to run the reverse diffusion process
因为无法获得全部 dataset，因此需要一个模型来估计真实样本的概率分布，从 \(x_t\) 通过模型预测 \(x_{t-1}\)
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Note that if βt is small enough, q(xt−1|xt) will also be Gaussian
why?
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- Mar 2024
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loop.houmin.site loop.houmin.site
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在 backward pass 需要的 FLOPs 数大致是 forward pass 的 2 倍
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- Jan 2023
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sspai.com sspai.com
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批注功能支持 Markdown 语法、LaTeX 公式
测试 Markdown 语法： $$x = {-b \pm \sqrt{b^2-4ac} \over 2a}$$.
- ~~strike through~~
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