Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2102.05379/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTArgmax Flows and Multinomial Diffusion: Learning Categorical Distributions — mentioned by kastnerkylehttps://news.ycombinator.com/item?id=31358322urn:hackerpapers:mention:2102.05379:31358322Thu, 12 May 2022 18:36:52 GMT<p>I really like the descriptions from SUNDAE (https://arxiv.org/abs/2112.06749) if you have some background about general neural net style modeling, and generally find the multinomial or binomial diffusion settings a bit simpler to think about conceptually (if a bit more difficult in practice due to the harshness of the noise). There are other papers focused on these settings too (even the origin diffusion work in the NN sphere http://proceedings.mlr.press/v37/sohl-dickstein15.html) but again - the math is at the forefront (https://arxiv.org/abs/2111.14822 , https://arxiv.org/abs/2102.05379)…</p><p><a href="https://hackerpaper.kaipfister.de/p/2102.05379/">Paper and discussion history</a>. A mention is not an endorsement.</p>stat.ML