Hi, I’m Juan Diego Toscano. Thanks for stopping by. This repository will help you to get involved in the physics-informed machine learning world. Inside the Tutorials folders, you will find several ...

is a nonlinear and invertible transformation for non-negative d-dimensional signals that guarantees certain linear separation theorems. The transformation builds on top of the Cumulative Distribution ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Abstract: Plasmonic metasurfaces have shown great potential to manipulate the electromagnetic fields within the subwavelength scale. Nanoslits are one type of the commonly used building blocks of ...

Abstract: Deep learning based inverse scattering (DL-IS) methods attract much attention in recent years due to advantages of fast speed and high-quality reconstruction. The loss functions of neural ...