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Uncertainty Quantification

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TitleStatusHype
Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization—0
A Survey on Uncertainty Quantification Methods for Deep Learning—0
Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty AlignmentCode0
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer LearningCode1
Model-Based Uncertainty in Value FunctionsCode1
Improving Adaptive Conformal Prediction Using Self-Supervised LearningCode1
Calibrated Regression Against An Adversary Without Regret—0
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting—0
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshotsCode0
Improved uncertainty quantification for neural networks with Bayesian last layerCode0
Learning Physical Models that Can Respect Conservation LawsCode1
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles—0
Credal Bayesian Deep Learning—0
Bayesian Quantification with Black-Box EstimatorsCode0
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions—0
Entity Aware Modelling: A Survey—0
Improved Online Conformal Prediction via Strongly Adaptive Online LearningCode1
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization—0
Probabilistic Circuits That Know What They Don't KnowCode1
Fixing Overconfidence in Dynamic Neural NetworksCode0
Event Temporal Relation Extraction with Bayesian Translational Model—0
On Fairness and Stability: Is Estimator Variance a Friend or a Foe?—0
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsCode1
Fortuna: A Library for Uncertainty Quantification in Deep LearningCode2
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning—0
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