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Uncertainty Quantification

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Showing 1951–2000 of 2366 papers

TitleStatusHype
Quantifying Uncertainty for Machine Learning Based Diagnostic—0
Lyapunov-based uncertainty-aware safe reinforcement learning—0
Nonparametric posterior learning for emission tomography with multimodal data—0
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning—0
Subset selection for linear mixed models—0
Sparse Bayesian Deep Learning for Dynamic System IdentificationCode0
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products—0
Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty QuantificationCode0
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantificationCode0
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference—0
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions—0
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability—0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Model Uncertainty and Correctability for Directed Graphical Models—0
Uncertainty Prediction for Machine Learning Models of Material Properties—0
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age ModelingCode0
Tracing Halpha Fibrils through Bayesian Deep Learning—0
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous DrivingCode0
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks—0
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation—0
Gaussian Process Subspace Regression for Model ReductionCode0
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object DetectorsCode0
Explainable AI (XAI) for PHM of Industrial Asset: A State-of-The-Art, PRISMA-Compliant Systematic Review—0
MD-split+: Practical Local Conformal Inference in High Dimensions—0
Evaluating subgroup disparity using epistemic uncertainty in mammography—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
Uncertainty quantification of a thrombosis model considering the clotting assay PFA-100—0
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation—0
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise—0
Patch-Based Image Restoration using Expectation Propagation—0
Being a Bit Frequentist Improves Bayesian Neural NetworksCode0
PAC Prediction Sets Under Covariate ShiftCode0
Quasi-Bayesian Dual Instrumental Variable RegressionCode0
Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals—0
Linear-Time Probabilistic Solutions of Boundary Value Problems—0
Spatial spread of COVID-19 outbreak in Italy using multiscale kinetic transport equations with uncertainty—0
An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention costCode0
Learning Functional Priors and Posteriors from Data and Physics—0
BayesIMP: Uncertainty Quantification for Causal Data Fusion—0
Meta-Learning Reliable Priors in the Function Space—0
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective—0
Learning particle swarming models from data with Gaussian processes—0
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra—0
Sparse Uncertainty Representation in Deep Learning with Inducing Weights—0
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders—0
Deep Ensembles from a Bayesian Perspective—0
Inferring power system dynamics from synchrophasor data using Gaussian processes—0
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications—0
Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability—0
Uncertainty quantification for distributed regression—0
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