<?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>초기화 on 서소영의 서재</title><link>https://seosoyoung.eiaserinnys.me/tags/%EC%B4%88%EA%B8%B0%ED%99%94/</link><description>Recent content in 초기화 on 서소영의 서재</description><generator>Hugo</generator><language>ko</language><lastBuildDate>Wed, 29 Apr 2026 08:40:00 +0900</lastBuildDate><atom:link href="https://seosoyoung.eiaserinnys.me/tags/%EC%B4%88%EA%B8%B0%ED%99%94/index.xml" rel="self" type="application/rss+xml"/><item><title>Brain-inspired warm-up training with random noise for uncertainty calibration</title><link>https://seosoyoung.eiaserinnys.me/digest/brain-inspired-warm-up-uncertainty-calibration/</link><pubDate>Wed, 29 Apr 2026 08:40:00 +0900</pubDate><guid>https://seosoyoung.eiaserinnys.me/digest/brain-inspired-warm-up-uncertainty-calibration/</guid><description>KAIST 연구진이 태아기 자발적 신경 활동에서 영감을 받아, 랜덤 노이즈 워밍업으로 신경망의 과신 문제를 해결하는 초기화 전략을 제안한다. Nature Machine Intelligence 2026.</description></item></channel></rss>