<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Flow Matching - 标签 - mywebsite</title><link>https://steven-yl.github.io/mywebsite/tags/flow-matching/</link><description>Flow Matching - 标签 - mywebsite</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>steven@gmail.com (Steven)</managingEditor><webMaster>steven@gmail.com (Steven)</webMaster><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Wed, 25 Mar 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://steven-yl.github.io/mywebsite/tags/flow-matching/" rel="self" type="application/rss+xml"/><item><title>KL 散度与离散流匹配中的广义 KL 损失</title><link>https://steven-yl.github.io/mywebsite/kl_div/</link><pubDate>Wed, 25 Mar 2026 00:00:00 +0800</pubDate><author><name>Steven</name><uri>https://github.com/steven-yl</uri></author><guid>https://steven-yl.github.io/mywebsite/kl_div/</guid><description>本文把 KL 散度相关的几个核心概念串起来，给出离散流匹配中广义 KL 损失的直观解释与 PyTorch 实现示例。</description></item><item><title>Flow Matching Guide and Code 第5章解读：Non-Euclidean Flow Matching</title><link>https://steven-yl.github.io/mywebsite/flow-matching-guide-and-code-5-non-euclidean-flow-matching/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><author><name>Steven</name><uri>https://github.com/steven-yl</uri></author><guid>https://steven-yl.github.io/mywebsite/flow-matching-guide-and-code-5-non-euclidean-flow-matching/</guid><description>第5章 Non-Euclidean Flow Matching 解读：从动机与黎曼流形设定出发，说明流形上的流、概率路径与连续性方程，边际化技巧（定理10）、RCFM 损失（定理11），以及测地线条件流与基于预度量的条件流；并对照欧氏 FM 与代码8（球面测地线 RCFM）做小结。</description></item><item><title>Flow Matching Guide and Code 第5章解读：FlatTorus Riemannian Flow Matching 训练逻辑技术文档</title><link>https://steven-yl.github.io/mywebsite/flow-matching-guide-and-code-5-flattorus-riemannian-flow-matching/</link><pubDate>Mon, 10 Jun 2024 00:00:00 +0800</pubDate><author><name>Steven</name><uri>https://github.com/steven-yl</uri></author><guid>https://steven-yl.github.io/mywebsite/flow-matching-guide-and-code-5-flattorus-riemannian-flow-matching/</guid><description>平坦环面 M=[0,2π)² 上 Riemannian Flow Matching 的训练目标、概率路径、损失形式及实现细节的技术文档。</description></item></channel></rss>