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

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 that predicts each time step, i.e patch free. The synthetic data has already been used in Toto-2 an…

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  1. 2026-10-19 04:12 · r/LocalLLaMA
    TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting

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