Optimal Training of Mean Variance Estimation Neural Networks

17 February 2023

Papers citing "Optimal Training of Mean Variance Estimation Neural Networks"

8 / 8 papers shown

Title
IAEmu: Learning Galaxy Intrinsic Alignment Correlations Sneh Pandya Yuanyuan Yang N. V. Alfen Jonathan Blazek Robin Walters 123 1 0 07 Apr 2025
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 117 2 0 12 Dec 2023
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification Romain Egele R. Maulik Krishnan Raghavan Bethany Lusch Isabelle M Guyon Prasanna Balaprakash UQCV OOD BDL 116 47 0 26 Oct 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 319 1,914 0 12 Nov 2020
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles Siddhartha Jain Ge Liu Jonas W. Mueller David K Gifford UQCV 59 60 0 18 Jun 2019
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 176 591 0 22 May 2017
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 298 5,521 0 23 Nov 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 125 944 0 18 Feb 2015