Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations

12 July 2023

Papers citing "Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations"

4 / 4 papers shown

Title
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 170 755 0 13 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Stochastic Backpropagation through Mixture Density Distributions Alex Graves BDL 43 45 0 19 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015