Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data

8 July 2019

Papers citing "Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data"

6 / 6 papers shown

Title
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data Xu Liu Wenjuan Yao Wei Peng Weien Zhou PINN AI4CE 80 27 0 14 May 2022
A Bayesian Deep Learning Approach to Near-Term Climate Prediction Xihaier Luo Balasubramanya T. Nadiga Yihui Ren Ji Hwan Park Wei Xu Shinjae Yoo BDL AI4CE 63 12 0 23 Feb 2022
A Machine Learning-based Characterization Framework for Parametric Representation of Nonlinear Sloshing Xihaier Luo A. Kareem Liting Yu Shinjae Yoo 29 0 0 25 Jan 2022
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise Nidhin Harilal Udit Bhatia A. Ganguly OOD 35 0 0 23 Jun 2021
Bayesian neural networks for weak solution of PDEs with uncertainty quantification Xiaoxuan Zhang K. Garikipati AI4CE 84 12 0 13 Jan 2021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 245 796 0 13 Mar 2020