<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Todo - 分类 - mywebsite</title><link>https://steven-yl.github.io/mywebsite/categories/todo/</link><description>Todo - 分类 - 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>Tue, 03 Mar 2026 12:00:00 +0800</lastBuildDate><atom:link href="https://steven-yl.github.io/mywebsite/categories/todo/" rel="self" type="application/rss+xml"/><item><title>Minimal-Drifting-Models</title><link>https://steven-yl.github.io/mywebsite/minimal-drifting-models-%E7%AE%97%E6%B3%95%E4%B8%8E%E5%AE%9E%E7%8E%B0%E8%AF%B4%E6%98%8E/</link><pubDate>Tue, 03 Mar 2026 12:00:00 +0800</pubDate><author><name>Steven</name><uri>https://github.com/steven-yl</uri></author><guid>https://steven-yl.github.io/mywebsite/minimal-drifting-models-%E7%AE%97%E6%B3%95%E4%B8%8E%E5%AE%9E%E7%8E%B0%E8%AF%B4%E6%98%8E/</guid><description>基于 &lt;a href="https://github.com/Algomancer/Minimal-Drifting-Models" target="_blank" rel="noopener noreferrer">Algomancer/Minimal-Drifting-Models&lt;/a> 与论文 Generative Modeling via Drifting (Deng et al., 2026)，详解漂移场 V、训练损失、推理 1-NFE，以及 Sinkhorn / 特征函数 / 自编码器扩展。</description></item></channel></rss>