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TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting [R]

Accepted at NeurIPS 2026 TLDR: The paper presents a library of synthetic time series generators and augmentations to train time series foundation models, in their case a DeltaProduct based linear RNN. The synthetic data

TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting [R]
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