arxiv
PublishedMay 16, 2026 at 4:00 AM
—neutral
Time Series Forecasting Through the Lens of Dynamics
Publisher summary· verbatim
arXiv:2507.15774v3 Announce Type: replace-cross Abstract: While deep learning is facing an homogenization across modalities led by Transformers, they are still challenged by shallow linear models in the time series forecasting task. Our hypothesis is that models should learn a direct link from past
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Originally published on arxiv ↗