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Uncertainty Quantification

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Showing 426–450 of 2366 papers

TitleStatusHype
On the Role of Surrogates in Conformal Inference of Individual Causal EffectsCode0
Constructing Confidence Intervals for Average Treatment Effects from Multiple DatasetsCode0
Information-Geometric Barycenters for Bayesian Federated Learning—0
Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography—0
Learning Normal Flow Directly From Event NeighborhoodsCode1
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport—0
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification—0
CESAR: A Convolutional Echo State AutoencodeR for High-Resolution Wind ForecastingCode0
Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach—0
Subspace tracking for online system identification—0
Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization—0
Distribution free uncertainty quantification in neuroscience-inspired deep operators—0
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty—0
Bayesian optimized deep ensemble for uncertainty quantification of deep neural networks: a system safety case study on sodium fast reactor thermal stratification modeling—0
Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage—0
Dual Random Fields and their Application to Mineral Potential Mapping—0
Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation—0
GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative ModelsCode1
PolytopeWalk: Sparse MCMC Sampling over PolytopesCode1
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning—0
Post-hoc Probabilistic Vision-Language ModelsCode1
AI-powered Digital Twin of the Ocean: Reliable Uncertainty Quantification for Real-time Wave Height Prediction with Deep Ensemble—0
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions—0
Uncertainty Quantification for Transformer Models for Dark-Pattern Detection—0
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems—0
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