https://hackerpaper.kaipfister.de/p/2102.11107/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=31171703urn:hackerpapers:mention:2102.11107:31171703Tue, 26 Apr 2022 19:04:01 GMT<p>Causal representation learning by far (e.g. learning the things that can influence each other, given an image)! This is the topic that Yoshua Bengio gave a guest talk on in the course. Here&#x27;s the big paper he and others wrote on the topic (after the course): https://arxiv.org/abs/2102.11107</p><p><a href="https://hackerpaper.kaipfister.de/p/2102.11107/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LGhttps://news.ycombinator.com/item?id=26331425urn:hackerpapers:submission:2102.11107:26331425Wed, 03 Mar 2021 17:17:31 GMT<p>Towards Causal Representation Learning</p><p></p><p>3 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2102.11107/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG