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Uncertainty Quantification

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Showing 1076–1100 of 2366 papers

TitleStatusHype
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification—0
Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge—0
Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting—0
Uncertainty Quantification on Graph Learning: A Survey—0
A Novel A.I Enhanced Reservoir Characterization with a Combined Mixture of Experts -- NVIDIA Modulus based Physics Informed Neural Operator Forward Model—0
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals—0
Multiclass ROC—0
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals—0
QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring—0
Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory—0
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation LearningCode0
Analytical results for uncertainty propagation through trained machine learning regression models—0
Data-driven modeling and prediction of microglial cell dynamics in the ischemic penumbra—0
A variational neural Bayes framework for inference on intractable posterior distributionsCode0
Accelerating Ensemble Error Bar Prediction with Single Models Fits—0
Epistemic Uncertainty Quantification For Pre-trained Neural Network—0
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification—0
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite DataCode0
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learningCode0
On the Independence Assumption in Neurosymbolic Learning—0
Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies—0
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing—0
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning—0
Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks—0
Towards detecting unanticipated bias in Large Language Models—0
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