<?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>Machine Learning on Connor Stone</title><link>http://connorjstone.com/tags/machine-learning/</link><description>Recent content in Machine Learning on Connor Stone</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 26 Nov 2025 00:00:00 +0000</lastBuildDate><atom:link href="http://connorjstone.com/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>📄 Pixellated Posterior Sampling of Point Spread Functions in Astronomical Images</title><link>http://connorjstone.com/publications/pixellated-psf-sampling/</link><pubDate>Wed, 26 Nov 2025 00:00:00 +0000</pubDate><guid>http://connorjstone.com/publications/pixellated-psf-sampling/</guid><description>A framework for fully probabilistic, pixel-level inference of the point spread function directly from astronomical images, enabling principled uncertainty quantification in downstream photometric analyses.</description></item><item><title>📝 Simulation Based Inference</title><link>http://connorjstone.com/demos/simulation-based-inference/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>http://connorjstone.com/demos/simulation-based-inference/</guid><description>An introduction to likelihood-free inference: what it is, why you&amp;rsquo;d use it, and how the four main approaches (NLE, NPE, NJE, NRE) work.</description></item><item><title>💻 AstroPhot: Fitting Everything Everywhere All at Once in Astronomical Images</title><link>http://connorjstone.com/publications/astrophot/</link><pubDate>Thu, 03 Aug 2023 00:00:00 +0000</pubDate><guid>http://connorjstone.com/publications/astrophot/</guid><description>AstroPhot is a Python package for simultaneous multi-band, multi-object photometric fitting of astronomical images using automatic differentiation and GPU acceleration.</description></item><item><title>AstroPhot</title><link>http://connorjstone.com/software/astrophot/</link><pubDate>Thu, 03 Aug 2023 00:00:00 +0000</pubDate><guid>http://connorjstone.com/software/astrophot/</guid><description>AstroPhot is a Python package for simultaneous multi-band, multi-object photometric fitting of astronomical images using automatic differentiation and GPU acceleration.</description></item></channel></rss>