2020
PoRB-Nets: Poisson Process Radial Basis Function Networks
UAI 2020poster
Bayesian neural networks (BNNs) are flexible function priors well-suited to situations in which data are scarce and uncertainty must be quantified. Yet, common weight priors are able to encode little functional knowledge and can behave in undesirable ways. We present a novel prior over radial basis…