| Wasserstein Dropout | Dec 23, 2020 | Object Detectionregression | CodeCode Available | 0 |
| Outlier-Detection for Reactive Machine Learned Potential Energy Surfaces | Feb 27, 2024 | Outlier DetectionUncertainty Quantification | CodeCode Available | 0 |
| Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation | Sep 30, 2021 | BIG-bench Machine LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms | Apr 12, 2022 | Uncertainty QuantificationVariable Selection | CodeCode Available | 0 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 |
| Considering discrepancy when calibrating a mechanistic electrophysiology model | Jan 13, 2020 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation | Oct 1, 2024 | EEGElectromyography (EMG) | CodeCode Available | 0 |
| Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception | Jun 24, 2025 | ObjectPose Estimation | CodeCode Available | 0 |
| Band-gap regression with architecture-optimized message-passing neural networks | Sep 12, 2023 | Band Gapband gap regression | CodeCode Available | 0 |
| PAC Prediction Sets Under Covariate Shift | Jun 17, 2021 | PredictionUncertainty Quantification | CodeCode Available | 0 |
