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Uncertainty Quantification

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Showing 1126–1150 of 2366 papers

TitleStatusHype
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators—0
B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions—0
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering—0
Black-box Uncertainty Quantification Method for LLM-as-a-Judge—0
Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
Approximately Piecewise E(3) Equivariant Point Networks—0
Advances in Surrogate Modeling for Biological Agent-Based Simulations: Trends, Challenges, and Future Prospects—0
Uncertainty-aware multi-fidelity surrogate modeling with noisy data—0
Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network—0
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs—0
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation—0
Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei—0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning—0
Beyond the Norms: Detecting Prediction Errors in Regression Models—0
Approaches for Uncertainty Quantification of AI-predicted Material Properties: A Comparison—0
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes—0
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation—0
Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain—0
Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA—0
Efficient Line Search Method Based on Regression and Uncertainty Quantification—0
Uncertainty Quantification and Exploration for Reinforcement Learning—0
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