<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>3 | Jared Macshane</title><link>https://jared-mac.github.io/publication_types/3/</link><atom:link href="https://jared-mac.github.io/publication_types/3/index.xml" rel="self" type="application/rss+xml"/><description>3</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://jared-mac.github.io/media/icon_hu_645fa481986063ef.png</url><title>3</title><link>https://jared-mac.github.io/publication_types/3/</link></image><item><title>MANTIS: Modulated Adaptive Neural Compression for Task-Informed Split Computing</title><link>https://jared-mac.github.io/publication/preprint/mantis/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://jared-mac.github.io/publication/preprint/mantis/</guid><description>&lt;p>MANTIS evaluates task-conditioned split compression on UAVid semantic segmentation, WAID wildlife detection, and Boreal Fire smoke detection. The system improves the low- and mid-rate task-utility frontier, reducing bitrate by up to 62.2% at matched downstream accuracy and improving average normalized task accuracy by up to 9.3% at matched bitrate relative to the best non-conditioned or static baseline at the matched comparison point.&lt;/p></description></item></channel></rss>