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XLSTMTime: Long-Term Time Series Forecasting with xLSTM

231 点作者 beefman10 个月前

11 条评论

carbocation10 个月前
&gt; In recent years, transformer-based models have gained prominence in multivariate long-term time series forecasting<p>Prominence, yes. But are they generally better than non-deep learning models? My understanding was that this is not the case, but I don&#x27;t follow this field closely.
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dkga10 个月前
A part of my work is literally building nowcasting and other types of prediction models in economics (inflation, GDP etc) and finance (market liquidity, etc). I haven’t yet had a chance to read the paper but overall the tone of “transformers are great for what they do but LSTM-type of models are very valuable still” completely resonates with me.
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dlojudice10 个月前
Is this somehow related to the Google weather prediction model using AI [1]?<p><a href="https:&#x2F;&#x2F;deepmind.google&#x2F;discover&#x2F;blog&#x2F;graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting&#x2F;" rel="nofollow">https:&#x2F;&#x2F;deepmind.google&#x2F;discover&#x2F;blog&#x2F;graphcast-ai-model-for...</a>
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Dowwie10 个月前
marketed as a forecasting tool, so is this not applicable to event classification in time series?
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_0ffh10 个月前
Too bad the dataset link in the paper isn&#x27;t working. I hope that&#x27;ll get amended.
greatpostman10 个月前
The best deep learning time series models are closed source inside hedge funds.
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localfirst10 个月前
time series forecasting works best with deterministic domains. none of the published LLM&#x2F;AI&#x2F;Deep&#x2F;Machine techniques do well in the stock market. Absolutely none. we&#x27;ve tried them all.
optimalsolver10 个月前
Reminder: If someone&#x27;s time series forecasting method worked, they wouldn&#x27;t be publishing it.
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nyanpasu6410 个月前
I misread this as XSLT :&#x27;)
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thedudeabides510 个月前
cant wait for someone to lose all their money trying to predict stocks with this thing
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brcmthrowaway10 个月前
Wow, is there a way to apply this to financial trading?
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