Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model

This work proposes decomposable denoising diffusion model (D 3 M) and proves it is a general framework unifying denoising diffusion models and continuous flow models and designs a module that combines a special state space model with linear gated attention modules for sequence modeling.