Abstract: Electrical impedance tomography (EIT), geophysics and undersea target reconstruction are typical non-linear ill-posed inverse problems, and in many cases, the anomalous bodies feature with a ...

This is the official code of the paper, Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging Problems. The main contribution essentially lies in the mathematical derivation and ...

Abstract: Many safety-critical applications of neural networks, such as robotic control, require safety guarantees. This article introduces a method for ensuring the safety of learned models for ...

A validated, auto-differentiable framework for field propagation, point-spread function calculations, and image rendering built on tensorflow Keras A growing set of pre-trained, efficient neural ...