5 Matching Annotations
  1. Aug 2024
    1. 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

    2. 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 \(x_{t-1}\)

    3. Note that if βt is small enough, q(xt−1|xt) will also be Gaussian

      why?

  2. Mar 2024
  3. Jan 2023
    1. 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~~
      • Spock