AI RESEARCH
IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting
arXiv CS.LG
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ArXi:2603.24207v1 Announce Type: new Accurate forecasting of multivariate time series remains challenging due to the need to capture both short-term fluctuations and long-range temporal dependencies. Transformer-based models have emerged as a powerful approach, but their performance depends critically on the representation of temporal data.