An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation

24 October 2024

Papers citing "An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation"

9 / 9 papers shown

Title
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 94 3 0 09 Sep 2024
Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data Ziyue Xie M. Yaseen Xuechun Wu 29 7 0 10 Jul 2023
Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks L. Moloko P. Bokov Xu Wu K. Ivanov 16 9 0 16 Nov 2022
Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models M. Yaseen Xu Wu AI4CE 53 14 0 27 Jun 2022
Uncertainty Sets for Image Classifiers using Conformal Prediction Anastasios Nikolas Angelopoulos Stephen Bates Jitendra Malik Michael I. Jordan UQCV 205 334 0 29 Sep 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 62 205 0 22 Jun 2020
Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder Zhi-Song Liu W. Siu Li-Wen Wang Chu-Tak Li Marie-Paule Cani Yui-Lam Chan DRL SupR 36 32 0 27 Apr 2020
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 282 4,793 0 04 Jan 2016
A tutorial on conformal prediction Glenn Shafer V. Vovk 452 1,144 0 21 Jun 2007