<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Poster | Sara Candussio</title><link>https://gaoithee.github.io/saracandussio.github.io/tags/poster/</link><atom:link href="https://gaoithee.github.io/saracandussio.github.io/tags/poster/index.xml" rel="self" type="application/rss+xml"/><description>Poster</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 24 Nov 2025 00:00:00 +0000</lastBuildDate><image><url>https://gaoithee.github.io/saracandussio.github.io/media/icon_hu7729264130191091259.png</url><title>Poster</title><link>https://gaoithee.github.io/saracandussio.github.io/tags/poster/</link></image><item><title>Bridging Logic and Learning: Decoding Temporal Logic Embeddings via Transformers</title><link>https://gaoithee.github.io/saracandussio.github.io/event/dagstuhl-rtg-symposium/</link><pubDate>Mon, 24 Nov 2025 00:00:00 +0000</pubDate><guid>https://gaoithee.github.io/saracandussio.github.io/event/dagstuhl-rtg-symposium/</guid><description>&lt;p>Poster presentation of our ECML-PKDD 2025 paper at the RTG Symposium, held at the legendary &lt;a href="https://www.dagstuhl.de/" target="_blank" rel="noopener">Schloss Dagstuhl&lt;/a> — a week-long gathering of PhD researchers from Max Planck Institute and Saarland University, with guest talks by &lt;a href="https://mega.seas.harvard.edu/" target="_blank" rel="noopener">Mor Geva Pipek&lt;/a> and &lt;a href="https://ai-lab.units.it/?page_id=139" target="_blank" rel="noopener">Luca Bortolussi&lt;/a>.&lt;/p></description></item></channel></rss>