A wavelet-based tokenizer that lets an autoregressive transformer forecast quantized wavelet coefficients instead of raw values, improving accuracy and generalization on time series benchmarks.
Adaptive thresholding of wavelet coefficients
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Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
A wavelet-based tokenizer that lets an autoregressive transformer forecast quantized wavelet coefficients instead of raw values, improving accuracy and generalization on time series benchmarks.