Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting.

arXiv:2601.12467v4 Announce Type: replace-cross Abstract: Transformer-based models have shown strong performance in time-series forecasting by leveraging self-attention to model long-range temporal dependencies. However, their effectiveness depends critically