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| Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review | May 12, 2025 | Active LearningBayesian Inference | —Unverified | 0 | 0 |
| Combining additivity and active subspaces for high-dimensional Gaussian process modeling | Feb 6, 2024 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| Assumption-free fidelity bounds for hardware noise characterization | Apr 9, 2025 | Conformal PredictionUncertainty Quantification | —Unverified | 0 | 0 |
| Combined State and Parameter Estimation in Level-Set Methods | Mar 1, 2019 | parameter estimationState Estimation | —Unverified | 0 | 0 |
| Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression | Sep 16, 2021 | regressionState Estimation | —Unverified | 0 | 0 |
| Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate | Oct 25, 2022 | regressionUncertainty Quantification | —Unverified | 0 | 0 |
| Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification | Nov 1, 2021 | image-classificationImage Classification | —Unverified | 0 | 0 |
