| Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification | Dec 29, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 1 |
| AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models | Dec 16, 2020 | parameter estimationSensitivity | CodeCode Available | 1 |
| Masksembles for Uncertainty Estimation | Dec 15, 2020 | Classifier calibrationEnsemble Learning | CodeCode Available | 1 |
| Probabilistic Contrastive Principal Component Analysis | Dec 14, 2020 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 1 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 |
| Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules | Nov 28, 2020 | Drug DiscoveryUncertainty Quantification | CodeCode Available | 1 |
| Uncertainty estimation for molecular dynamics and sampling | Nov 10, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 1 |
| Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging | Oct 27, 2020 | compressed sensingImage Reconstruction | CodeCode Available | 1 |
| Incorporating Interpretable Output Constraints in Bayesian Neural Networks | Oct 21, 2020 | FairnessUncertainty Quantification | CodeCode Available | 1 |
| Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting | Oct 14, 2020 | GPUUncertainty Quantification | CodeCode Available | 1 |
