Bayesian inference for neural networks, or Bayesian deep learning, has t...
Network complexity and computational efficiency have become increasingly...
Modern climate projections lack adequate spatial and temporal resolution...
Robust machine learning models with accurately calibrated uncertainties ...
Deep neural network ensembles that appeal to model diversity have been u...
This work introduces Bayesian quantile regression modeling framework for...
Sparse deep neural networks have proven to be efficient for predictive m...