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| Implementing hosting capacity analysis in distribution networks: Practical considerations, advancements and future directions | Dec 11, 2023 | BenchmarkingCapacity Estimation | —Unverified | 0 |
| (Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models | Sep 4, 2024 | Out-of-Distribution DetectionUncertainty Quantification | —Unverified | 0 |
| Credal Bayesian Deep Learning | Feb 19, 2023 | Autonomous DrivingDeep Learning | —Unverified | 0 |
| Improved Active Learning via Dependent Leverage Score Sampling | Oct 8, 2023 | Active LearningUncertainty Quantification | —Unverified | 0 |
| Improved Calibration of Numerical Integration Error in Sigma-Point Filters | Nov 28, 2018 | Numerical IntegrationUncertainty Quantification | —Unverified | 0 |
| Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification | Sep 9, 2020 | ClassificationDecision Making | —Unverified | 0 |
| Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification | Apr 3, 2025 | counterfactualMolecular Property Prediction | —Unverified | 0 |
| Improving Label Error Detection and Elimination with Uncertainty Quantification | May 15, 2024 | Ensemble Learningimage-classification | —Unverified | 0 |
| Improving mathematical questioning in teacher training | Dec 2, 2021 | Uncertainty Quantification | —Unverified | 0 |
