Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning

Tobias Jan Wieczorek, Leon de Andrade, Thomas Möllenhoff +1

Modern deep learning models remain notoriously prone to overconfidence, limiting their reliability in high-stakes applications. Bayesian methods aim to counter this by learning a d…