Abstract: Bayesian filters provide a statistical tool for dealing with measurement uncertainty. Bayesian filters estimate a state of dynamic system from noisy observations. These filters represent the ...

Abstract: Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical ...

This repository contains a tutorial on how to use hierarchical coarse-grained models and mutli-level Bayesian optimization for molecular discovery. Although the example system is quite simple, the ...