TStruct: Learning Shared Temporal Structures for Long-Term Time-Series Forecasting.
arXiv:2610.17864v1 Announce Type: cross Abstract: Long-term time series forecasting requires temporal dependency modeling that remains stable and generalizable under temporal distribution shifts. However, real-world time series are often noisy and non-stationa
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