| Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference | Jul 21, 2021 | Ensemble LearningUncertainty Quantification | —Unverified | 0 |
| Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy | Jan 21, 2021 | Deep LearningEnsemble Learning | —Unverified | 0 |
| Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory | Jul 9, 2024 | Federated Learningparameter estimation | —Unverified | 0 |
| Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows | Oct 31, 2023 | Operator learningUncertainty Quantification | —Unverified | 0 |
| An asymptotic analysis of distributed nonparametric methods | Nov 8, 2017 | Uncertainty Quantification | —Unverified | 0 |
| Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks | Jul 19, 2024 | Meta-LearningModel Predictive Control | —Unverified | 0 |
| Entity Aware Modelling: A Survey | Feb 16, 2023 | FairnessPrediction | —Unverified | 0 |
| Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction | Oct 2, 2024 | Autonomous DrivingDecision Making | —Unverified | 0 |
| Exponential Convergence of CAVI for Bayesian PCA | May 22, 2025 | Dimensionality ReductionUncertainty Quantification | —Unverified | 0 |
| Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems | Aug 14, 2020 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
