Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification

Sina Däubener, Asja Fischer

Uncertainty quantification in neural networks gained a lot of attention in the past years. The most popular approaches, Bayesian neural networks (BNNs), Monte Carlo dropout, and de…