Uncertainty Quantification by Ensemble Learning for Computational
Optical Form Measurements

Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements

1 March 2021

Papers citing "Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements"

10 / 10 papers shown

Title
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV MedIm 38 0 0 10 Apr 2025
Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data M. Fanous Paloma Casteleiro Costa Çaǧatay Işıl Luzhe Huang Aydogan Ozcan 32 3 0 21 Mar 2024
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems Luzhe Huang Jianing Li Xiaofu Ding Yijie Zhang Hanlong Chen Aydogan Ozcan UQCV 13 1 0 22 May 2023
Toward Robust Uncertainty Estimation with Random Activation Functions Y. Stoyanova Soroush Ghandi M. Tavakol UQCV 26 2 0 28 Feb 2023
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging Canberk Ekmekci Müjdat Çetin UQCV 19 11 0 02 Jul 2022
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions Afshar Shamsi Hamzeh Asgharnezhad AmirReza Tajally Saeid Nahavandi Henry Leung UQCV 44 6 0 07 Oct 2021
Deep Ensembles from a Bayesian Perspective L. Hoffmann Clemens Elster UD BDL UQCV 8 35 0 27 May 2021
Aleatoric uncertainty for Errors-in-Variables models in deep regression J. Martin Clemens Elster UQCV UD BDL 21 8 0 19 May 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 220 2,287 0 18 Oct 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