Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review

15 November 2023

Papers citing "Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review"

6 / 6 papers shown

Title
Uncertainty Quantification for cross-subject Motor Imagery classification Prithviraj Manivannan Ivo Pascal de Jong Matias Valdenegro-Toro A. Sburlea UQCV 33 0 0 14 Mar 2024
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 61 43 0 20 May 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 44 103 0 24 Aug 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015