[SpaceManNabs]

You are the primary audience. Time series forecasting with deep learning is fraught with inconsistency. Someone on r/ML went pretty hard on detailing a survey and the stuff that was SOTA 10 years ago still is. Wish I saved that thread. The dude was well published.

edit: found it https://www.reddit.com/r/MachineLearning/comments/pe1lst/r_i...

Turns out it was about time series anomaly detection, but if you can detect, you can forecast if your model is generative

[isaacfung]

These may be related.

https://www.reddit.com/r/datascience/comments/11vzjhi/statis...

https://www.reddit.com/user/eamonnkeogh/submitted/?sort=top

[SpaceManNabs]

I updated my comment with the thread but it was actually about time series anomaly detection. Turns out it was the same dude in your second link, and your comment includes forecasting in the first link as well. Thank you!

[Pandabob]

When was this? I might go chasing this lead down, but even a fuzzy estimation of when would help. Will come link it here if I find it.

[SpaceManNabs]

I updated my comment!

[genewitch]

aaaaand i just spent 3 hours watching that, trying to remember some parts of calculus, and reading all of the wikipedia articles and "also see" that were grey on white in the video. Then i fell asleep, but i wanted to thank you, as i also thanked the Prof. that made that video (on reddit).