BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1808.08871/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTBézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters — mentioned by llmzerohttps://news.ycombinator.com/item?id=39630488urn:hackerpapers:mention:1808.08871:39630488Thu, 07 Mar 2024 15:48:40 GMT<p>The superformula depends of four parameters and is able to model many different curves. I wonder if that superformula would be useful to learn to generalize the form of a curve given few points. It could be that, in same way, the four parameters of that curve are a orthogonal bases in the hypothesis space, in the sense that each parameters add a lot the information. If this intuition has any meaning, it could be the start of a new theory for constructing bases of the hypothesis space, that is models with few parameters but great expressive power. Edited: (1) The following link explains…</p><p><a href="https://hackerpaper.kaipfister.de/p/1808.08871/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG