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 linear RNN. The synthetic data has already been used in Toto-2 and TS-ICL. Arxiv: https://arxiv.org/abs/2510.25502 GitHub: https:…
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Timeline · 2 reports
- 2026-10-18 17:19 · r/deeplearning
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting [R] - 2026-10-18 16:43 · r/MachineLearning
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting [R]