<?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>Uncertainty Quantification on Jannik P. Roth</title><link>https://jannik-roth.github.io/tags/uncertainty-quantification/</link><description>Recent content in Uncertainty Quantification on Jannik P. Roth</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Tue, 19 Mar 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://jannik-roth.github.io/tags/uncertainty-quantification/index.xml" rel="self" type="application/rss+xml"/><item><title>Relationship between prediction accuracy and uncertainty in compound potency prediction using deep neural networks and control models</title><link>https://jannik-roth.github.io/papers/2024_uq/</link><pubDate>Tue, 19 Mar 2024 00:00:00 +0000</pubDate><guid>https://jannik-roth.github.io/papers/2024_uq/</guid><description>The prediction accuracy and uncertainty qunatification of deep neural networks and other control methods is compared using compound potency prediction tasks. Published in Scientific Reports, 2024</description></item></channel></rss>