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Uncertainty Quantification

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Showing 2051–2100 of 2366 papers

TitleStatusHype
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
Improving Group Robustness on Spurious Correlation via Evidential AlignmentCode0
Verifiably Robust Conformal PredictionCode0
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature ModelingCode0
Conformal Prediction for Image Segmentation Using Morphological Prediction SetsCode0
A variational neural Bayes framework for inference on intractable posterior distributionsCode0
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical GuaranteesCode0
Physics-informed Gaussian Processes for Safe Envelope ExpansionCode0
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction SetsCode0
Conformal Prediction for Dose-Response Models with Continuous TreatmentsCode0
Improving Uncertainty Quantification of Variance Networks by Tree-Structured LearningCode0
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical AnalysisCode0
Conformal Prediction for Class-wise Coverage via Augmented Label Rank CalibrationCode0
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural NetworksCode0
Uncertainty Quantification with Bayesian Higher Order ReLU KANsCode0
Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic SclerosisCode0
Being a Bit Frequentist Improves Bayesian Neural NetworksCode0
Winner-takes-all learners are geometry-aware conditional density estimatorsCode0
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active SensingCode0
Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal PredictionCode0
Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential EquationsCode0
Conformal Prediction for Causal Effects of Continuous TreatmentsCode0
Conformal online model aggregationCode0
Towards Reliable Rare Category Analysis on Graphs via Individual CalibrationCode0
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional RegressionCode0
Sequential Gaussian Processes for Online Learning of Nonstationary FunctionsCode0
Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural NetworksCode0
Conformal Off-policy PredictionCode0
Achieving Risk Control in Online Learning SettingsCode0
Uncertainty Quantification with Generative ModelsCode0
Efficient Deep Gaussian Process Models for Variable-Sized InputCode0
Informativeness of Weighted Conformal PredictionCode0
A Kernel-Expanded Stochastic Neural NetworkCode0
Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysisCode0
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based AggregationCode0
Conformalized Interval Arithmetic with Symmetric CalibrationCode0
SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics DataCode0
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian ProcessesCode0
Uncertainty Quantification for cross-subject Motor Imagery classificationCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature SelectionCode0
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in BadlandsCode0
Bayesian uncertainty quantification for data-driven equation learningCode0
Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular SimulationCode0
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian ManifoldsCode0
Interpreting artificial neural networks to detect genome-wide association signals for complex traitsCode0
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural NetworksCode0
Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded VarianceCode0
Interval Neural Networks as Instability Detectors for Image ReconstructionsCode0
Interval Neural Networks: Uncertainty ScoresCode0
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