Lazy Diffusion: Mitigating spectral collapse in generative diffusion-based stable autoregressive emulation of turbulent flows

This article likely presents a novel method, "Lazy Diffusion," to improve the stability and accuracy of generative models, specifically those using diffusion techniques, when simulating turbulent flows. The focus is on addressing the issue of spectral collapse, a common problem in these types of simulations. The research likely involves developing a new approach to autoregressive modeling within the diffusion framework to better capture the complex dynamics of turbulent flows.

• •Focuses on improving the stability and accuracy of generative diffusion models for turbulent flow simulation.
• •Addresses the problem of spectral collapse.
• •Proposes a new autoregressive modeling approach within the diffusion framework.