<?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>Transformer on Jannik P. Roth</title><link>https://jannik-roth.github.io/tags/transformer/</link><description>Recent content in Transformer on Jannik P. Roth</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Fri, 12 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://jannik-roth.github.io/tags/transformer/index.xml" rel="self" type="application/rss+xml"/><item><title>Unraveling learning characteristics of transformer models for molecular design</title><link>https://jannik-roth.github.io/papers/2025_learning_characteristics/</link><pubDate>Fri, 12 Dec 2025 00:00:00 +0000</pubDate><guid>https://jannik-roth.github.io/papers/2025_learning_characteristics/</guid><description>The learning characteristics of transformer based models for generative compound designs are studied using control calculations and careful manipulation of datasets. Published in Patterns, 2025</description></item></channel></rss>