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 ...

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 ...

Washington can barely keep the lights on between shutdown threats. Meanwhile, ordinary Americans are doing what Congress can’t: solving problems in their own communities. I learned this when I watched ...

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 minivans still have dangerous power sliding doors, even after a recall that was supposed to fix them. Filed in federal court in Maryland, the ...