Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability

25 May 2021

Papers citing "Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability"

5 / 5 papers shown

Title
Probabilistic computation and uncertainty quantification with emerging covariance He Ma Yong Qi Li Zhang Wenlian Lu Jianfeng Feng 11 1 0 30 May 2023
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 40 16 0 09 Oct 2022
Explainable AI for High Energy Physics Mark S. Neubauer Avik Roy 34 10 0 14 Jun 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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015