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| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 |
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| Enabling Uncertainty Estimation in Iterative Neural Networks | Mar 25, 2024 | Bayesian OptimizationOut-of-Distribution Detection | CodeCode Available | 1 |
| Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications | Sep 22, 2023 | Computational EfficiencyDeep Learning | CodeCode Available | 1 |
| Evidential Deep Learning to Quantify Classification Uncertainty | Jun 5, 2018 | Deep LearningGeneral Classification | CodeCode Available | 1 |
| Evidential Uncertainty Quantification: A Variance-Based Perspective | Nov 19, 2023 | Active LearningClassification | CodeCode Available | 1 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 |
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| Extended Stochastic Block Models with Application to Criminal Networks | Jul 16, 2020 | Community DetectionModel Selection | CodeCode Available | 1 |
| AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models | Dec 16, 2020 | parameter estimationSensitivity | CodeCode Available | 1 |
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| Disentangling Uncertainty in Machine Translation Evaluation | Apr 13, 2022 | Machine TranslationPrediction | CodeCode Available | 1 |
