AI RESEARCH
DyWPE: Signal-Aware Dynamic Wavelet Positional Encoding for Time Series Transformers
arXiv CS.LG
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ArXi:2509.14640v2 Announce Type: replace Existing positional encoding methods in transformers are fundamentally signal-agnostic, deriving positional information solely from sequence indices while ignoring the underlying signal characteristics. This limitation is particularly problematic for time series analysis, where signals exhibit complex, non-stationary dynamics across multiple temporal scales. We