<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Generative Adversarial Networks |</title><link>https://tiao.io/tags/generative-adversarial-networks/</link><atom:link href="https://tiao.io/tags/generative-adversarial-networks/index.xml" rel="self" type="application/rss+xml"/><description>Generative Adversarial Networks</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 15 Jun 2019 13:00:00 +0000</lastBuildDate><image><url>https://tiao.io/media/icon_hu_9c2a75fde2335590.png</url><title>Generative Adversarial Networks</title><link>https://tiao.io/tags/generative-adversarial-networks/</link></image><item><title>Tech Talk: Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference</title><link>https://tiao.io/events/amazon-ml-tech-talk-2019/</link><pubDate>Sat, 15 Jun 2019 13:00:00 +0000</pubDate><guid>https://tiao.io/events/amazon-ml-tech-talk-2019/</guid><description/></item><item><title>Contributed Talk: Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference</title><link>https://tiao.io/events/icml2018-tagdm/</link><pubDate>Sat, 14 Jul 2018 15:20:00 +0000</pubDate><guid>https://tiao.io/events/icml2018-tagdm/</guid><description/></item><item><title>Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference</title><link>https://tiao.io/publications/cycle-bayes/</link><pubDate>Sun, 01 Jul 2018 00:00:00 +0000</pubDate><guid>https://tiao.io/publications/cycle-bayes/</guid><description/></item></channel></rss>