<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Optimal-Transport on Xu'Blog</title><link>https://xuquant.com/tags/optimal-transport/</link><description>Recent content in Optimal-Transport on Xu'Blog</description><image><title>Xu'Blog</title><url>https://xuquant.com/og-default.png</url><link>https://xuquant.com/og-default.png</link></image><generator>Hugo -- 0.152.2</generator><language>zh</language><lastBuildDate>Wed, 06 May 2026 09:00:00 +0800</lastBuildDate><atom:link href="https://xuquant.com/tags/optimal-transport/index.xml" rel="self" type="application/rss+xml"/><item><title>最优传输与 Wasserstein 距离：从 Monge 到 Kantorovich</title><link>https://xuquant.com/posts/mathematics/probability/optimal-transport-wasserstein/</link><pubDate>Wed, 06 May 2026 09:00:00 +0800</pubDate><guid>https://xuquant.com/posts/mathematics/probability/optimal-transport-wasserstein/</guid><description>从 Monge 搬运问题到 Kantorovich 松弛，推导 Wasserstein 距离的定义与对偶形式，解释为何 W 距离比 KL 散度更适合衡量分布差异。</description></item><item><title>Flow Matching 与一致性模型：生成范式的新统一</title><link>https://xuquant.com/posts/mathematics/diffusion/flow-matching-consistency/</link><pubDate>Sat, 25 Apr 2026 09:00:00 +0800</pubDate><guid>https://xuquant.com/posts/mathematics/diffusion/flow-matching-consistency/</guid><description>从扩散模型的随机路径到 Flow Matching 的确定性最优传输路径，再到一致性模型的单步蒸馏，建立生成模型 ODE 视角的统一框架。</description></item></channel></rss>