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Uncertainty Quantification

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Showing 1501–1550 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
Variational Density Propagation Continual Learning—0
Variational Deterministic Uncertainty Quantification—0
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring—0
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification—0
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks—0
Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction—0
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control—0
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization—0
Weakly Supervised Pixel-Level Annotation with Visual Interpretability—0
When Can We Reuse a Calibration Set for Multiple Conformal Predictions?—0
When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System—0
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges—0
When the whole is greater than the sum of its parts: Scaling black-box inference to large data settings through divide-and-conquer—0
Where Do We Go From Here? Guidelines For Offline Recommender Evaluation—0
Why Machine Learning Models Fail to Fully Capture Epistemic Uncertainty—0
With or Without Replacement? Improving Confidence in Fourier Imaging—0
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond—0
WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts—0
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals—0
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs—0
Uncertainty quantification of molecular property prediction using Bayesian neural network models—0
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models—0
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving Control—0
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning—0
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification—0
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