Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks

Emanuel Sommer, Jakob Robnik, Giorgi Nozadze +2

Despite recent advances, sampling-based inference for Bayesian Neural Networks (BNNs) remains a significant challenge in probabilistic deep learning. While sampling-based approache…