Baobao Algorithm Notes
Dec 21, 2021 · Artificial Intelligence
Boost Time Series Forecasting with Autocorrelated Error Adjustment – A 5‑Line PyTorch Trick
This article explains a NeurIPS 2021 paper that introduces a learnable autocorrelation correction for neural network time‑series models, shows the underlying theory, provides concise PyTorch code implementing the adjustment, reports a ~17% average performance gain across datasets, and lists additional practical tricks for time‑series forecasting.
Neural NetworksPyTorchTime Series
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