Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems

27 June 2023

Papers citing "Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems"

4 / 4 papers shown

Title
A generalized likelihood-weighted optimal sampling algorithm for rare-event probability quantification Xianliang Gong Yulin Pan 11 1 0 22 Oct 2023
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 60 171 0 08 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 84 271 0 24 Feb 2014