Miguel Bessa

Cooperative variance estimation and Bayesian neural networks disentangle aleatoric and epistemic uncertainties

Real-world data contains aleatoric uncertainty -- irreducible noise arising from imperfect measurements or from incomplete knowledge about the data generation process. Mean variance estimation (MVE) networks can learn this type of uncertainty but require ad-hoc regularization strategies to avoid ove…