William Gilpin: My new preprint explores using neural networks to learn “strange attractors” from time series. If we measure a complex system over time, can we infer additional measurement dimensions & discover underlying structure? (1/N)
10 replies, 923 likes
Richard Gao: This looks fantastic!
But also goddamnit.
2 replies, 10 likes
Chico Camargo: Neural networks are great at finding patterns.
But what if the pattern is CHAOS? Can neural networks learn chaotic behaviour? Paper and thread.
0 replies, 7 likes
Dr Simon Osindero: This looks really neat! Looking forward to taking a closer look when I get a chance.
Taken’s embedding theorem meets deep learning FTW 👍🏽.
0 replies, 6 likes
Andre Brown: Cool! Now do worm data! @_mlechha @greg_stephens
0 replies, 5 likes
𝐊𝐞𝐧𝐣𝐢 𝐋𝐞𝐞: Amazing work! One of those rare papers that you have to read immediately and put off the end of the work day for.
1 replies, 4 likes
Found on Feb 17 2020 at https://arxiv.org/pdf/2002.05909.pdf