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Uncertainty Quantification

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Showing 1901–1950 of 2366 papers

TitleStatusHype
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
Conformalized Link Prediction on Graph Neural Networks—0
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey—0
Conformal Prediction: A Data Perspective—0
Conformal Prediction and Human Decision Making—0
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation—0
Conformal Prediction as Bayesian Quadrature—0
Conformal Prediction Bands for Two-Dimensional Functional Time Series—0
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift—0
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information—0
Conformal Prediction for Indoor Positioning with Correctness Coverage Guarantees—0
Conformal Prediction for Manifold-based Source Localization with Gaussian Processes—0
Conformal Prediction for Natural Language Processing: A Survey—0
Conformal Prediction for STL Runtime Verification—0
Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets—0
Conformal Prediction for Trustworthy Detection of Railway Signals—0
Conformal Prediction in Dynamic Biological Systems—0
Label Noise Robustness of Conformal Prediction—0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
Conformal Robust Beamforming via Generative Channel Models—0
Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
CONSeg: Voxelwise Glioma Conformal Segmentation—0
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition—0
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks—0
Constraining the Dynamics of Deep Probabilistic Models—0
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model—0
Continual learning via probabilistic exchangeable sequence modelling—0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation—0
Continuum Limit of Posteriors in Graph Bayesian Inverse Problems—0
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation—0
Controlled Dropout for Uncertainty Estimation—0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
Correcting for Interference in Experiments: A Case Study at Douyin—0
Measurement Error and Counterfactuals in Quantitative Trade and Spatial Models—0
Counterfactual Uncertainty Quantification of Factual Estimand of Efficacy from Before-and-After Treatment Repeated Measures Randomized Controlled Trials—0
Coupling the reduced-order model and the generative model for an importance sampling estimator—0
Covariance-Free Sparse Bayesian Learning—0
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks—0
Crowd Counting with Decomposed Uncertainty—0
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty—0
Current Methods for Drug Property Prediction in the Real World—0
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems—0
Cycles of Thought: Measuring LLM Confidence through Stable Explanations—0
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety—0
Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification—0
Data-driven Bayesian Control of Port-Hamiltonian Systems—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
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