| Bayesian Quantification with Black-Box Estimators | Feb 17, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Achieving Equalized Odds by Resampling Sensitive Attributes | Jun 8, 2020 | AttributeFairness | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks | Jan 10, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 0 | 5 |
| Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings | Nov 18, 2021 | Out-of-Distribution DetectionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | Nov 30, 2018 | Anomaly DetectionAutonomous Driving | CodeCode Available | 0 | 5 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| Bayesian Parameter Estimation for Dynamical Models in Systems Biology | Apr 11, 2022 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| A Bayesian Multiscale Deep Learning Framework for Flows in Random Media | Mar 8, 2021 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
