AnalysisAI ModelsOctober 18, 2026

TempoPFN trains linear RNNs on synthetic data for zero-shot forecasting

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Paper accepted at NeurIPS 2026 presents a library of synthetic time series generators and augmentations for pre-training time series foundation models, using a linear RNN. The synthetic data has already been used in Toto-2 and TS-ICL.

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