Abstract: This paper explores a data driven machine learning neural network, the neural operator network, as an alternative to traditional simulation methods for solving the inverse problem of the TMz ...

We propose a new method called Decoupled Annealing Posterior Sampling (DAPS) that relies on a novel noise annealing process to solve posterior sampling with diffusion prior. Specifically, we decouple ...

MEDINA, Ohio – For decades, many students have sat in math classes wondering when they will ever use the lessons they are learning in real life, but thanks to a deeper learning initiative at Claggett ...

Abstract: In recent years, deep learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...

As it seeks to end birthright citizenship, the Trump administration is arguing that immigrants bring problems that extend for generations. The data shows otherwise. By Hamed Aleaziz Reporting from ...

A new class action lawsuit claims 2022–2023 Kia Carnival sliding doors still close with dangerous force despite a recall, reducing the vans’ value; Kia says the recall worked, the plaintiffs haven’t ...