<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Sampling on Haitong Lan</title>
    <link>https://HaitongLan.github.io/tags/sampling/</link>
    <description>Recent content in Sampling on Haitong Lan</description>
    <generator>Hugo</generator>
    <language>en</language>
    <copyright>Haitong&#39;s blog</copyright>
    <lastBuildDate>Mon, 02 Dec 2024 16:50:00 +0800</lastBuildDate>
    <atom:link href="https://HaitongLan.github.io/tags/sampling/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Sampling and diffusion models</title>
      <link>https://HaitongLan.github.io/p/sampling-and-diffusion/</link>
      <pubDate>Mon, 02 Dec 2024 16:50:00 +0800</pubDate>
      <guid>https://HaitongLan.github.io/p/sampling-and-diffusion/</guid>
      <description>This page collects my group meeting slides and reading materials on sampling and diffusion models from August to December 2024.&#xA;Score-based generative modeling: SMLD and SDE August 2024 · Group meeting presentation&#xA;A reading presentation on Yang Song&amp;rsquo;s Generative Modeling by Estimating Gradients of the Data Distribution and Score-Based Generative Modeling through Stochastic Differential Equations, covering score-based generative models and their SDE formulation.&#xA;Slides: SMLD and SDE (PDF)&#xA;Score-based variational inference for inverse problems September 2024 · Group meeting presentation</description>
    </item>
  </channel>
</rss>
