https://hackerpaper.kaipfister.de/p/1704.01087/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=16628093urn:hackerpapers:mention:1704.01087:16628093Tue, 20 Mar 2018 12:54:42 GMT<p>To the first point, the paper mentions that &quot;the covariance is calculated after applying the Gaussian Copula to that table&quot;. The experiments seem to conclude that, for their datasets, the 2D projections seem to work alright. I think that the surprising conclusion is that this works so well for any dataset at all. Just thinking out loud here: The typical case where a low dimensional representation would fail you is if you had dependencies (e.g. bimodal relations) that weren&#x27;t represented by a datatype or foreign key. Recall that the simulation of data still occurs within each table, so the…</p><p><a href="https://hackerpaper.kaipfister.de/p/1704.01087/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.AI