bayesian-deep-learning

Sequential learning paradigms pose challenges for gradient-based deep learning due to difficulties incorporating new data and retaining …

In this talk, I’ll present an overview of the Laplace approximation for quantifying uncertainty in Bayesian neural networks. …

Deep neural networks (NNs) are known to lack uncertainty estimates and struggle to incorporate new data. We present a method that …