| DROMO: Distributionally Robust Offline Model-based Policy Optimization | Sep 15, 2021 | modelUncertainty Quantification | —Unverified | 0 |
| Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks | Dec 14, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows | Oct 31, 2023 | Operator learningUncertainty Quantification | —Unverified | 0 |
| DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection | Nov 3, 2024 | Change Point DetectionModel Selection | —Unverified | 0 |
| Bayesian Graph Contrastive Learning | Dec 15, 2021 | Contrastive LearningSelf-Supervised Learning | —Unverified | 0 |
| Ensemble Neural Networks (ENN): A gradient-free stochastic method | Aug 3, 2019 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian generative models can flag performance loss, bias, and out-of-distribution image content | Mar 21, 2025 | Anomaly DetectionData Visualization | —Unverified | 0 |
| DBCal: Density Based Calibration of classifier predictions for uncertainty quantification | Apr 1, 2022 | Semantic SegmentationUncertainty Quantification | —Unverified | 0 |
| Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting | Mar 27, 2025 | Conformal PredictionLoad Forecasting | —Unverified | 0 |
| An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression | Apr 25, 2025 | regressionUncertainty Quantification | —Unverified | 0 |
