added timeseries example img
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@ -132,6 +132,18 @@ The resulting training will be significantly more expensive, as more weights nee
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and a much larger number of intermediate states needs to be processed. However, the increased
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and a much larger number of intermediate states needs to be processed. However, the increased
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cost typically pays off with a reduced overall inference error.
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cost typically pays off with a reduced overall inference error.
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```{figure} resources/timeseries-lss-subdiv-prediction.jpg
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---
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height: 300px
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name: timeseries-lss-subdiv-prediction
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---
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Several time frames of an example prediction from {cite}`wiewel2020lsssubdiv`, which additionally couples the
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learned time evolution with an numerically solved advection step.
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The learned prediction is shown at the top, the reference simulation at the bottom.
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```
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## Source code
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## Source code
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In order to make practical experiments in this area of deep learning, we can
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In order to make practical experiments in this area of deep learning, we can
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resources/timeseries-lss-subdiv-prediction.jpg
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resources/timeseries-lss-subdiv-prediction.jpg
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