<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mikko Pakkanen | Global Pathogen Analysis Platform (GPAP) AI Research</title><link>https://gpap-project.github.io/author/mikko-pakkanen/</link><atom:link href="https://gpap-project.github.io/author/mikko-pakkanen/index.xml" rel="self" type="application/rss+xml"/><description>Mikko Pakkanen</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2022 00:00:00 +0000</lastBuildDate><image><url>https://gpap-project.github.io/media/logo.svg</url><title>Mikko Pakkanen</title><link>https://gpap-project.github.io/author/mikko-pakkanen/</link></image><item><title>πVAE: a stochastic process prior for Bayesian deep learning with MCMC</title><link>https://gpap-project.github.io/publication/mishra-2020-stochastic/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/mishra-2020-stochastic/</guid><description/></item></channel></rss>