Validation of uncertainty quantification metrics: a primer based on the consistency and adaptivity concepts

13 March 2023

Papers citing "Validation of uncertainty quantification metrics: a primer based on the consistency and adaptivity concepts"

8 / 8 papers shown

Title
Uncertainty quantification for predictions of atomistic neural networks Luis Itza Vazquez-Salazar Eric D. Boittier Markus Meuwly 6 15 0 14 Jul 2022
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 115 607 0 15 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 148 1,129 0 07 Jul 2021
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification Youngseog Chung Willie Neiswanger I. Char J. Schneider UQCV 87 88 0 18 Nov 2020
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 167 1,893 0 12 Nov 2020
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction Lior Hirschfeld Kyle Swanson Kevin Kaichuang Yang Regina Barzilay Connor W. Coley 52 189 0 20 May 2020
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks Dan Levi Liran Gispan Niv Giladi Ethan Fetaya UQCV 54 142 0 28 May 2019
Conditional validity of inductive conformal predictors V. Vovk 128 412 0 12 Sep 2012