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cs.LG2026
Generative models for simulation based filtering: Formulations and Empirical Comparisons
Mohammad Al-Jarrah, Wei Deng, Bamdad Hosseini +1
This letter presents a unified formulation and a controlled numerical comparison of generative-model approaches to the nonlinear filtering problem. Under this formulation the analy…
stat.ML2026
Error Analysis of Bayesian Inverse Problems with Generative Priors
Bamdad Hosseini, Ziqi Huang
Data-driven methods for the solution of inverse problems have become widely popular in recent years thanks to the rise of machine learning techniques. A popular approach concerns t…