Diffusion-Driven State Space Models

In many domains, practitioners seek models that produce accurate forecasts while faithfully capturing latent system dynamics. Existing approaches typically sacrifice one of these goals: deep state space models often assume Gaussian latent transitions, limiting fit and forecasting, while diffusion mo…

View Post on Scour ↗

More from arXiv on Scour.