<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Computational Imaging for VLBI Image Reconstruction · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1512.01413/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1512.01413/feed.xml" rel="self" type="application/rss+xml" /><item><title>Computational Imaging for VLBI Image Reconstruction — mentioned by salty_biscuits</title><link>https://news.ycombinator.com/item?id=19649099</link><guid isPermaLink="false">urn:hackerpapers:mention:1512.01413:19649099</guid><pubDate>Fri, 12 Apr 2019 21:18:27 GMT</pubDate><description>&lt;p&gt;This sort of reconstruction problem from VLBI measurements is under-determined so you need to insert priors/regularization to get anything at all. The priors in this case are pretty weak (from a quick read of the CHIRP paper). https://arxiv.org/pdf/1512.01413.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1512.01413/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>astro-ph.IM</category></item><item><title>Computational Imaging for VLBI Image Reconstruction — mentioned by throc3</title><link>https://news.ycombinator.com/item?id=19640041</link><guid isPermaLink="false">urn:hackerpapers:mention:1512.01413:19640041</guid><pubDate>Thu, 11 Apr 2019 22:45:16 GMT</pubDate><description>&lt;p&gt;You&amp;#x27;re wrong, she did most of the work on the algorithm to make this work: https://arxiv.org/abs/1512.01413&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1512.01413/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>astro-ph.IM</category></item><item><title>Computational Imaging for VLBI Image Reconstruction — mentioned by ihnorton</title><link>https://news.ycombinator.com/item?id=19639458</link><guid isPermaLink="false">urn:hackerpapers:mention:1512.01413:19639458</guid><pubDate>Thu, 11 Apr 2019 21:32:58 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m reluctant to even dignify this kind of low-effort drivel with a response. There&amp;#x27;s a bunch of other commits linked from that very same user profile, related to -- and this will blow your mind -- image reconstruction: https://github.com/achael/eht-imaging/commits?author=klbouma... Even if that were not true, scientific code often does not end up public, let alone on github. Not to mention that Dr. Bouman is the first author of a closely-related paper at CVPR, which is one of the most prestigious meetings in a field of study called &amp;quot;computer vision&amp;quot;: https://arxiv.org/abs/1512.01413…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1512.01413/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>astro-ph.IM</category></item><item><title>Computational Imaging for VLBI Image Reconstruction — mentioned by spyckie2</title><link>https://news.ycombinator.com/item?id=19632498</link><guid isPermaLink="false">urn:hackerpapers:mention:1512.01413:19632498</guid><pubDate>Thu, 11 Apr 2019 09:46:19 GMT</pubDate><description>&lt;p&gt;from her paper: https://arxiv.org/abs/1512.01413 &amp;gt; Very long baseline interferometry (VLBI) is a technique for imaging celestial radio emissions by simultaneously observing a source from telescopes distributed across Earth. The challenges in reconstructing images from fine angular resolution VLBI data are immense. The data is extremely sparse and noisy, thus requiring statistical image models such as those designed in the computer vision community. In this paper we present a novel Bayesian approach for VLBI image reconstruction. While other methods often require careful tuning and parameter…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1512.01413/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>astro-ph.IM</category></item><item><title>Computational Imaging for VLBI Image Reconstruction — mentioned by black_puppydog</title><link>https://news.ycombinator.com/item?id=19632353</link><guid isPermaLink="false">urn:hackerpapers:mention:1512.01413:19632353</guid><pubDate>Thu, 11 Apr 2019 09:19:52 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s also in the links in that repo, but may be more interesting to some folks here: Katie&amp;#x27;s paper on VLBI reconstruction: https://arxiv.org/abs/1512.01413 This is how I learned about the topic and I think it&amp;#x27;s well suited for computery folks, since it was published in CVPR.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1512.01413/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>astro-ph.IM</category></item></channel></rss>
