Unverified50% confidencePredictionExact time
The diversity boundary of synthetic data determines how wild a real series the model can generalize to, and the trade-offs linear RNNs make in expressive power may expose weaknesses on certain strongly nonlinear series patterns.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
TempoPFN: Synthetic Pre-training of Linear RNNs Enables Zero-Shot Time Series Forecasting
redditr/MachineLearning10/18/2026
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