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Uncertainty Quantification

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TitleStatusHype
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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