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Uncertainty Quantification

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Showing 1201–1250 of 2366 papers

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
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction—0
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data—0
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing—0
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationCode1
Towards the Development of an Uncertainty Quantification Protocol for the Natural Gas Industry—0
Spectral Ranking Inferences based on General Multiway Comparisons—0
Uncertainty Estimation and Propagation in Accelerated MRI ReconstructionCode0
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities—0
Conformal PID Control for Time Series PredictionCode1
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging—0
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantificationCode1
Current Methods for Drug Property Prediction in the Real World—0
Model-free generalized fiducial inference—0
Information-theoretic Analysis of Test Data Sensitivity in Uncertainty—0
FREIDA: A Framework for developing quantitative agent based models based on qualitative expert knowledge—0
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture SearchCode1
Cryo-forum: A framework for orientation recovery with uncertainty measure with the application in cryo-EM image analysisCode0
Towards Reliable Rare Category Analysis on Graphs via Individual CalibrationCode0
Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization—0
Selective Generation for Controllable Language ModelsCode1
Conformal prediction under ambiguous ground truthCode2
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI—0
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