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Uncertainty Quantification

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TitleStatusHype
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification—0
Physics-Informed Polynomial Chaos Expansions—0
Analysis of Diagnostics (Part I): Prevalence, Uncertainty Quantification, and Machine Learning—0
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness—0
Calibrated Explanations for RegressionCode1
Inferences on Mixing Probabilities and Ranking in Mixed-Membership Models—0
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionCode1
Distributionally Robust Statistical Verification with Imprecise Neural Networks—0
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution—0
Probabilistic load forecasting with Reservoir Computing—0
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification—0
Variational Density Propagation Continual Learning—0
Deep Evidential Learning for Bayesian Quantile Regression—0
Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling—0
Robust Uncertainty Quantification Using Conformalised Monte Carlo PredictionCode1
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and InterpretationCode0
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks—0
Fast Risk Assessment in Power Grids through Novel Gaussian Process and Active Learning—0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural NetworksCode0
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
Uncertainty Quantification for Image-based Traffic Prediction across CitiesCode1
UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network ModelsCode0
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