Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors

9 September 2019

Papers citing "Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors"

8 / 8 papers shown

Title
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks Dingyi Zhuang Yuheng Bu Guang Wang Shenhao Wang Jinhua Zhao BDL 37 1 0 13 Sep 2024
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 56 43 0 17 Sep 2022
Loss Estimators Improve Model Generalization V. Narayanaswamy Jayaraman J. Thiagarajan Deepta Rajan A. Spanias OOD UQCV 19 0 0 05 Mar 2021
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 21 7 0 25 Sep 2020
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models Jayaraman J. Thiagarajan Bindya Venkatesh Rushil Anirudh P. Bremer J. Gaffney G. Anderson B. Spears 10 21 0 05 May 2020
Estimating Uncertainty Intervals from Collaborating Networks Tianhui Zhou Yitong Li Yuan Wu David Carlson UQCV 14 15 0 12 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015