Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting

In three linesTheoretical and empirical study challenges adaptive patching effectiveness for time-series Transformers. Authors show well-tuned uniform patch allocation rivals dynamic approaches on standard benchmarks, and local complexity alone does not justify non-uniform patching under common forecasting losses.

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