An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications

8 October 2021

Papers citing "An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications"

4 / 4 papers shown

Title
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions Joseph B. Choi Phong C. H. Nguyen O. Sen H. Udaykumar Stephen Seung-Yeob Baek PINN AI4CE 29 11 0 15 Nov 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 205 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015