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 ...

Abstract: Making safe and human-like decisions is an essential capability of autonomous driving systems, and learning-based behavior planning presents a promising pathway toward achieving this ...

Many classical dimension reduction methods, especially those based on inverse conditional moments, require the predictors to have elliptical distributions, or at least to satisfy a linearity condition ...

Abstract: A deep learning approach is employed to design a linear-to-circular polarization conversion metasurface based on the ellipticity angle and digitally encoding metasurfaces in this paper.

A generalization of Sliced Inverse Regression to functional regressors was introduced by Ferré and Yao (2003). Here we first address the issue of the identifiability of the Effective Dimension ...