| Bayesian score calibration for approximate models | Nov 10, 2022 | Bayesian Inferencescoring rule | CodeCode Available | 0 | 5 |
| NP-ODE: Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of Finite Element Analysis | Dec 12, 2020 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage | May 9, 2021 | Decision MakingManagement | CodeCode Available | 0 | 5 |
| Bayesian Quantification with Black-Box Estimators | Feb 17, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs | Jun 4, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Achieving Risk Control in Online Learning Settings | May 18, 2022 | Conformal PredictionDepth Estimation | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events | Dec 18, 2024 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |