2 papers
eess.SP2025
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
Siyi Chen, Yixuan Jia, Qing Qu +2
Data assimilation (DA) integrates observations with a dynamical model to estimate states of PDE-governed systems. Model-driven methods (e.g., Kalman, particle) presuppose full know…
cs.CV2024
Learning Diffusion Model from Noisy Measurement using Principled Expectation-Maximization Method
Weimin Bai, Weiheng Tang, Enze Ye +3
Diffusion models have demonstrated exceptional ability in modeling complex image distributions, making them versatile plug-and-play priors for solving imaging inverse problems. How…