Abstract: Kalman filters (KFs) have become ubiquitous in modern-day technology with applications in medicine, robotics, and many others due to their straightforward implementation and impressive ...

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