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Uncertainty Quantification

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Showing 1501–1525 of 2366 papers

TitleStatusHype
Uncertainty Wrapper in the medical domain: Establishing transparent uncertainty quantification for opaque machine learning models in practice—0
Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models—0
Hoeffding decomposition of black-box models with dependent inputs—0
Understanding while Exploring: Semantics-driven Active Mapping—0
Universal Prediction Band via Semi-Definite Programming—0
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift—0
Unsupervised Calibration under Covariate Shift—0
UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs—0
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows—0
Building high accuracy emulators for scientific simulations with deep neural architecture search—0
UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data—0
UQ-CHI: An Uncertainty Quantification-Based Contemporaneous Health Index for Degenerative Disease Monitoring—0
UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration—0
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers—0
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems—0
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution—0
Using AI Uncertainty Quantification to Improve Human Decision-Making—0
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models—0
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation—0
Uncertainty Quantification in Deep MRI Reconstruction—0
Valuation of European Options under an Uncertain Market Price of Volatility Risk—0
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon—0
Variational Bayesian strategies for high-dimensional, stochastic design problems—0
Variational DAG Estimation via State Augmentation With Stochastic Permutations—0
Variational Deep Learning via Implicit Regularization—0
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