Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations. - Nastaran Dabiran; Brandon Robinson; Rimple Sandhu; Mohammad Khalil; Chris L. Pettit; Dominique Poirel; Abhijit Sarkar (CoRR, 2023)

Sparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification. - Nastaran Dabiran; Brandon Robinson; Rimple Sandhu; Mohammad Khalil; Dominique Poirel; Abhijit Sarkar (CoRR, 2023)