GitHub

Finite basis physics-informed neural networks (FBPINNs)

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
IEEE

Physics-Informed Neural Networks for Inverse Electromagnetic Problems

Abstract: Physics-informed neural networks (PINNs) have been successfully applied in electromagnetism (EM) for the solution of direct problems. However, since PINNs typically do not take system ...
GitHub

Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

Abstract: Recent diffusion models provide a promising zero-shot solution to noisy linear inverse problems without retraining for specific inverse problems. In this paper, we reveal that recent methods ...
Investing

MiraeAsset TIGER Inverse ETF (123310)

Mirae Asset TIGER Inverse ETF is an exchange traded fund launched and managed by Mirae Asset Global Investments Co., Ltd. It invests in the public equity markets of South Korea. The fund uses ...
IEEE

Physics-Driven Neural Network for Solving Electromagnetic Inverse Scattering Problems

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 ...