<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Blog | Luiza Lober (portfolio)</title><link>https://luizalober.github.io/post/</link><atom:link href="https://luizalober.github.io/post/index.xml" rel="self" type="application/rss+xml"/><description>Blog</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 29 Aug 2025 00:00:00 +0000</lastBuildDate><image><url>https://luizalober.github.io/media/icon_hu_6513885388e98f1.png</url><title>Blog</title><link>https://luizalober.github.io/post/</link></image><item><title/><link>https://luizalober.github.io/post/discovering/</link><pubDate>Fri, 29 Aug 2025 00:00:00 +0000</pubDate><guid>https://luizalober.github.io/post/discovering/</guid><description>&lt;blockquote class="bluesky-embed" data-bluesky-uri="at://did:plc:ox6inbf2rwn4kj5ms3k3c775/app.bsky.feed.post/3lxkt6m3e6c2f" data-bluesky-cid="bafyreifi4vkswsdln4pzw2na2zzl3feoacbf6odjkep2drkoxcx6qbuzfe">&lt;p lang="en">Our new work on Arxiv.
arxiv.org/abs/2508.20257&lt;/p>&amp;mdash; &lt;a href="https://bsky.app/profile/did:plc:ox6inbf2rwn4kj5ms3k3c775?ref_src=embed">Francisco Rodrigues (@franciscorodrigues.bsky.social)&lt;/a> &lt;a href="https://bsky.app/profile/did:plc:ox6inbf2rwn4kj5ms3k3c775/post/3lxkt6m3e6c2f?ref_src=embed">2025-08-29T19:47:02.054Z&lt;/a>&lt;/blockquote>&lt;script async src="https://embed.bsky.app/static/embed.js" charset="utf-8">&lt;/script></description></item><item><title/><link>https://luizalober.github.io/post/rp_nn/</link><pubDate>Fri, 29 Nov 2024 00:00:00 +0000</pubDate><guid>https://luizalober.github.io/post/rp_nn/</guid><description>&lt;blockquote class="bluesky-embed" data-bluesky-uri="at://did:plc:ox6inbf2rwn4kj5ms3k3c775/app.bsky.feed.post/3lc3vjwvqks22" data-bluesky-cid="bafyreidtt3galc32ky7dr5r3oc3ubthwbyfdat3xrhminuunmznqge7eiu">&lt;p lang="en">𝗜𝘀 𝗶𝘁 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲 𝘁𝗼 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗰𝗵𝗮𝗼𝘁𝗶𝗰 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀? In this new paper, we use recurrence plots to train convolutional neural networks with the task of estimating the defining control parameters of non-linear systems.
arxiv.org/abs/2410.23408
with @luizalober.bsky.social&lt;/p>&amp;mdash; &lt;a href="https://bsky.app/profile/did:plc:ox6inbf2rwn4kj5ms3k3c775?ref_src=embed">Francisco Rodrigues (@franciscorodrigues.bsky.social)&lt;/a> &lt;a href="https://bsky.app/profile/did:plc:ox6inbf2rwn4kj5ms3k3c775/post/3lc3vjwvqks22?ref_src=embed">2024-11-29T15:30:09.727Z&lt;/a>&lt;/blockquote>&lt;script async src="https://embed.bsky.app/static/embed.js" charset="utf-8">&lt;/script></description></item></channel></rss>