A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties
The article discusses the importance of heteroscedastic predictive uncertainties in Bayesian Neural Networks (BNNs). The authors illustrate how both heteroscedastic aleatoric and epistemic variance can be integrated into the variances…
Continue reading