6 ms·
Time Series Forecasting with Graph Transformers
- ziofill 1y agoI can't stand websites that override scrolling
- pealco 1y agoMost of my time interacting with this site was spent in developer tools, trying to figure out where the scrolling behavior was coming from. (Couldn't figure it out.) I can't understand why people are still doing this in 2025.
- almosthere 1y agoMost likely the developer is using a Windows computer.
- bestest 1y agoEnter this in the console: document.body.onwheel = (e) => e.stopPropagation();
- rossant 1y agoI came here to say this. Don't mess with my scrollbar. Ever.
- deleted 1y ago[deleted]
- monkeydust 1y agowow didn't realize that until I saw this comment, now I cant unrealize it and angry
- grimpy 1y ago[flagged]
- superfrank 1y agoI don't think the people who wrote the paper are the same people who built the website.
- loehnsberg 1y ago[flagged]
- esafak 1y agoWhy? That is what everybody uses. What do you use?
- loehnsberg 1y agoL1-regularized autoregressive features, holiday dummies, Fourier terms (if suitable in combination) yield lower test errors, are faster in training, and easier to cross-validate than Prophet.
- esafak 1y agoWith which library though? Is it fast enough for production?
- hotstickyballs 1y agoSounds like prophet with extra steps
- melenaboija 1y agoFor such strong and personal statement I have to ask why.
- Worksheet 1y agoIf you arrived into, say, London and googled "Best fish and chips" would you believe that the top result gives you the meal that you're after?
- hotstickyballs 1y agoWhy not? It’s definitely a useful benchmark
- 1y ago
- cwmoore 1y ago“Here, sign this.” accept all cookies
- meindnoch 1y ago[flagged]
- tech_ken 1y ago> If this really worked, you'd be making billions on the stock market That's kind of a weird thing to say given that the market cap for quantitative finance is well over a billion dollars, and this product clearly seems to be targeting that sector (plus others) as a B2B service provider. Do you think that all those quantitative trading firms are using something other than time-series analytics? Also, setting aside the issue of whether time-series forecasting is valuable for stock-market trading, it seems like the value add of this product isn't necessarily the improved accuracy of the forecasts, but rather the streamlined ETL -> Feature Engineering -> Model Design process. For most firms (either in quantitative finance or elsewhere) that's the work of a small dedicated team of highly-trained specialists. This seems like it has the potential to greatly reduce the labor requirements for such an organization without a concomitant loss of product quality.
- Vaslo 1y agoI can’t read the original other than what was quoted, but time series will never make you millions in stocks (or millions more than not using it) because time series uses past information to predict a time series, and much of stock pricing is already set via efficient market that those firms have already beat you to.
- deleted 1y ago[deleted]
- cye131 1y agoI'm not a fan of this blog post as it tries to pass off a method that's not accepted as a good or standard time series methodology (graph transformers) as though it were a norm. Transformers perform poorly on time series, and graph deep learning performs poorly for tasks that don't have real behaviorial/physical edges (physical space/molecules/social graphs etc), so it's unclear why combining them would produce anything useful for "business applications" of time series like sales forecasting. For those interested in transformers with time series, I recommend reading this paper: https://arxiv.org/pdf/2205.13504 https://arxiv.org/pdf/2205.13504. There is also plenty of other research showing that transformers-based time series models generally underperform much simpler alternatives like boosted trees. After looking further it seems like this startup is both trying to publish academic research promoting these models as well as selling it to businesses, which seems like a conflict of interest to me.
- tough 1y agothoughts on TimesFM? > After looking further it seems like this startup is both trying to publish academic research promoting these models as well as selling it to businesses, which seems like a conflict of interest to me. is this a general rule of thumb that one should not use the same organization to publish research and pursue commercialization generally?
- orochimaaru 1y agoNot really. There is no rule against it. You can have a team that research, publishes, patents and shares the patents with commercial scalers. It’s easier with ML than with manufacturing.
- shirokiba 1y agoWould you be so kind as to recommend some resources on modern, promising methods for time series forecasting? I'm starting a position doing this work soon and would like to learn more about it if you'd be willing to share
- srean 1y ago
- ayongpm 1y agohttps://dontfuckwithscroll.com/ https://dontfuckwithscroll.com/
- rusty1s 1y agoForwarded :)
- curtisszmania 1y ago[dead]