| Evidential Turing Processes | Jun 2, 2021 | Image ClassificationUncertainty Quantification | CodeCode Available | 1 | 5 |
| GenAI4UQ: A Software for Inverse Uncertainty Quantification Using Conditional Generative Models | Dec 9, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 1 | 5 |
| BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning | Feb 17, 2020 | de-enLifelong learning | CodeCode Available | 1 | 5 |
| Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields | Sep 6, 2023 | Depth EstimationNeRF | CodeCode Available | 1 | 5 |
| Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation | Jun 23, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 | 5 |
| Likelihood-Free Parameter Estimation with Neural Bayes Estimators | Aug 27, 2022 | parameter estimationUncertainty Quantification | CodeCode Available | 1 | 5 |
| Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification | Sep 9, 2022 | Uncertainty Quantification | CodeCode Available | 1 | 5 |
| Gradient-free variational learning with conditional mixture networks | Aug 29, 2024 | Computational EfficiencyMixture-of-Experts | CodeCode Available | 1 | 5 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 | 5 |
| Incorporating Interpretable Output Constraints in Bayesian Neural Networks | Oct 21, 2020 | FairnessUncertainty Quantification | CodeCode Available | 1 | 5 |
