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 ...

Abstract: High-speed machines are popular in industry due to their high power density. Permanent synchronous machines are commonly preferred, but they rely on rare earth magnets, which are expensive ...

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 ...