| 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 |
| Learnable Uncertainty under Laplace Approximations | Oct 6, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Neural Bootstrapper | Oct 2, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 1 |
| Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library | Oct 1, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Sets for Image Classifiers using Conformal Prediction | Sep 29, 2020 | Conformal PredictionPrediction | CodeCode Available | 1 |
| SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates | Aug 24, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior | Aug 20, 2020 | DenoisingImage Denoising | CodeCode Available | 1 |
| RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation | Aug 16, 2020 | Efficient Neural NetworkImage Segmentation | CodeCode Available | 1 |
| Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes | Jul 20, 2020 | ClassificationGaussian Processes | CodeCode Available | 1 |
| Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification | Jul 20, 2020 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Quantification and Deep Ensembles | Jul 17, 2020 | Data AugmentationUncertainty Quantification | CodeCode Available | 1 |
| Extended Stochastic Block Models with Application to Criminal Networks | Jul 16, 2020 | Community DetectionModel Selection | CodeCode Available | 1 |
| Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation | Jun 23, 2020 | reinforcement-learningReinforcement Learning | CodeCode Available | 1 |
| Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification | Jun 22, 2020 | Active LearningExperimental Design | CodeCode Available | 1 |
| Distribution-free binary classification: prediction sets, confidence intervals and calibration | Jun 18, 2020 | Binary ClassificationClassification | CodeCode Available | 1 |
| Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness | Jun 17, 2020 | Uncertainty Quantification | CodeCode Available | 1 |
