Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: This research paper explores the rising interest in utilising deep learning methods, specifically Convolution Neural Network (CNN), to improve the reconstruction of Compressively Sampled ...

The background needed to be removed from the tutorial since sharing in asset packs is not allowed (To be on the safe side since I'm releasing the code with MIT ...