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Uncertainty Quantification

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Showing 676–700 of 2366 papers

TitleStatusHype
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes—0
Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks—0
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer—0
Conformal Risk Control for Pulmonary Nodule DetectionCode0
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction—0
Uncertainty Quantification in Stereo MatchingCode0
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks—0
Uncertainty Quantification in Continual Open-World Learning—0
Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct ResponsesCode0
Reliability analysis for non-deterministic limit-states using stochastic emulators—0
Uncertainty separation via ensemble quantile regression—0
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm EventsCode0
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework—0
On the Role of Surrogates in Conformal Inference of Individual Causal EffectsCode0
Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography—0
Constructing Confidence Intervals for Average Treatment Effects from Multiple DatasetsCode0
Information-Geometric Barycenters for Bayesian Federated Learning—0
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification—0
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport—0
CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind ForecastingCode0
Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach—0
Distribution free uncertainty quantification in neuroscience-inspired deep operators—0
Subspace tracking for online system identification—0
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization—0
Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling—0
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