https://hackerpaper.kaipfister.de/p/2308.03291/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=37080824urn:hackerpapers:mention:2308.03291:37080824Thu, 10 Aug 2023 19:46:50 GMT<p>This is probably a good start https://en.wikipedia.org/wiki/Graphical_model It&#x27;s traditionally fairly challenging to implement a relatively straightforward graphical model, but automatic differentiation changed that. Some people are working on getting the best of graphical models and black box models (like neural networks), which is where things like this come in. Because it&#x27;s jax, you get autograd and gpu/tpu acceleration for free, which further lets you stick these things in with other models, including black box models like NNs. An example application is in sentence part of speech tagging…</p><p><a href="https://hackerpaper.kaipfister.de/p/2308.03291/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG