<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Learned Compression on Anderson de Andrade</title><link>https://deandrade.ca/tags/learned-compression/</link><description>Recent content in Learned Compression on Anderson de Andrade</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Sun, 01 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://deandrade.ca/tags/learned-compression/index.xml" rel="self" type="application/rss+xml"/><item><title>Lossy common information in a learnable Gray-Wyner Network</title><link>https://deandrade.ca/papers/common-information/</link><pubDate>Sun, 01 Feb 2026 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/common-information/</guid><description>Isolate the common information between two dependent computer vision tasks.</description></item><item><title>Rate-distortion theory in coding for machines and its applications</title><link>https://deandrade.ca/papers/rd-cfm/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/rd-cfm/</guid><description>Theoretical considerations and evaluation of split and distillation points.</description></item><item><title>Towards task-compatible compressible representations</title><link>https://deandrade.ca/papers/towards-compatible/</link><pubDate>Thu, 01 Aug 2024 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/towards-compatible/</guid><description>Task reconstruction loss acts as a regularizer, increasing rate-distortion performance in coding for humans and machines.</description></item><item><title>Base layer efficiency in scalable human-machine coding</title><link>https://deandrade.ca/papers/base-efficiency/</link><pubDate>Sun, 01 Oct 2023 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/base-efficiency/</guid><description>Improving the shared channel in coding for machines (CfM).</description></item><item><title>Conditional and residual methods in scalable coding for humans and machines</title><link>https://deandrade.ca/papers/conditional-residual/</link><pubDate>Tue, 01 Aug 2023 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/conditional-residual/</guid><description>A comparison between conditional and residual entropy codecs for a two-channel systems of tasks with nested information.</description></item></channel></rss>