Rule-based Evolutionary Bayesian Learning

1 code implementation • 28 Feb 2022 • Themistoklis Botsas, Lachlan R. Mason, Omar K. Matar, Indranil Pan

In our previous work, we introduced the rule-based Bayesian Regression, a methodology that leverages two concepts: (i) Bayesian inference, for the general framework and uncertainty quantification and (ii) rule-based systems for the incorporation of expert knowledge and intuition.

Bayesian Inference Uncertainty Quantification

Rule-based Bayesian regression

4 code implementations • 2 Aug 2020 • Themistoklis Botsas, Lachlan R. Mason, Indranil Pan

We introduce a novel rule-based approach for handling regression problems.

Bayesian Inference regression +1

Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation

no code implementations • 23 Jul 2020 • Romit Maulik, Themistoklis Botsas, Nesar Ramachandra, Lachlan Robert Mason, Indranil Pan

We assess the viability of this algorithm for an advection-dominated system given by the inviscid shallow water equations.