WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation
The discussion centers on the paper "WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation," a new framework for generating highly realistic time series data. Experts analyze how it leverages wavelet power to capture structure across diverse domains like finance and energy. The consensus is that its multi-level design, especially cross-level attention, makes it significantly more robust than traditional methods.