https://hackerpaper.kaipfister.de/p/2412.06264/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=44401346urn:hackerpapers:mention:2412.06264:44401346Fri, 27 Jun 2025 23:53:39 GMT<p>You have a few minor errors and I hope I can help out. &gt; Diffusion: generate a lot of noise then try to clean it up You could say this about Flows too. The history of them is shared with diffusion and goes back to the Whitening Transform. Flows work by a coordinate transform so we have an isomorphism where diffusion works through, for easier understanding, a hierarchical mixture of gaussians. Which is a lossy process (more confusing when we get into latent diffusion models, which are the primary type used). The goal of a Normalizing Flow is to turn your sampling distribution, which you don&#x27;t…</p><p><a href="https://hackerpaper.kaipfister.de/p/2412.06264/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=42375589urn:hackerpapers:submission:2412.06264:42375589Tue, 10 Dec 2024 10:39:49 GMT<p>Flow Matching Guide and Code</p><p></p><p>3 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2412.06264/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG