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Uncertainty Quantification

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Showing 476–500 of 2366 papers

TitleStatusHype
The challenge of uncertainty quantification of large language models in medicine—0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Randomised Postiterations for Calibrated BayesCG—0
Adaptive Elicitation of Latent Information Using Natural Language—0
Quantifying the uncertainty of model-based synthetic image quality metrics—0
Operator Learning: A Statistical Perspective—0
Structured Extraction of Process Structure Properties Relationships in Materials Science—0
Bayesian LSTM for indoor temperature modeling—0
Probabilistic Machine Learning for Noisy Labels in Earth Observation—0
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification—0
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification—0
Computing High-dimensional Confidence Sets for Arbitrary Distributions—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—0
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models—0
Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference—0
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery—0
Stochastic Model Predictive Control of Charging Energy Hubs with Conformal Prediction—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
Bayesian Predictive Coding—0
New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning—0
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows—0
Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models—0
Efficient Epistemic Uncertainty Estimation in Cerebrovascular Segmentation—0
Generative Latent Neural PDE Solver using Flow Matching—0
Robustness quantification: a new method for assessing the reliability of the predictions of a classifier—0
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