Exponential time steps sampling diffusion (ETS-SD) is an advanced MCMC algorithm that uses exponential time steps to improve the performance of diffusion-based Samplers. It addresses the limitations of fixed time steps in traditional diffusion algorithms, which can lead to inefficiencies in sampling complex and high-dimensional distributions. ETS-SD dynamically adjusts the time steps based on local properties of the target distribution, optimizing the balance between diffusion and drift to achieve faster convergence and improved sampling efficiency.
