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Abstract: In this paper, we present a unified framework for solving a general class of problems arising in the context of set-membership estimation/identification theory. More precisely, the paper ...

Abstract: A stochastic finite-difference time-domain approach for analyzing geometrical and media uncertainty is described. The proposed method can convert the geometry uncertainties into media ...

This repository contains implementations of both conditional diffusion models for 1D data generation, built with PyTorch. The models are designed to solve inverse design scattering problems. The ...