<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jan Kronqvist | Γ-opt Research Group</title><link>https://gamma-opt.aalto.fi/jan-kronqvist/</link><atom:link href="https://gamma-opt.aalto.fi/jan-kronqvist/index.xml" rel="self" type="application/rss+xml"/><description>Jan Kronqvist</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate><image><url>https://gamma-opt.aalto.fi/media/icon_huba7e4e70161c2e5915ee1cbcbdbbf8c3_29999_512x512_fill_lanczos_center_3.png</url><title>Jan Kronqvist</title><link>https://gamma-opt.aalto.fi/jan-kronqvist/</link></image><item><title>ICNN-enhanced 2SP: Leveraging input convex neural networks for solving two-stage stochastic programming</title><link>https://gamma-opt.aalto.fi/publication/liu-2026/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><guid>https://gamma-opt.aalto.fi/publication/liu-2026/</guid><description/></item><item><title>Input convex neural networks as surrogates in mathematical optimisation</title><link>https://gamma-opt.aalto.fi/publication/liu-2026-a/</link><pubDate>Tue, 11 Aug 2026 00:00:00 +0000</pubDate><guid>https://gamma-opt.aalto.fi/publication/liu-2026-a/</guid><description/></item></channel></rss>