| PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics | Jun 6, 2021 | Uncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI | Jun 2, 2021 | FairnessUncertainty Quantification | CodeCode Available | 1 |
| Evidential Turing Processes | Jun 2, 2021 | Image ClassificationUncertainty Quantification | CodeCode Available | 1 |
| Locally Valid and Discriminative Prediction Intervals for Deep Learning Models | Jun 1, 2021 | Conformal PredictionDeep Learning | CodeCode Available | 1 |
| Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals | Jun 1, 2021 | PredictionPrediction Intervals | CodeCode Available | 1 |
| Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification | May 28, 2021 | EpidemiologyTime Series | CodeCode Available | 1 |
| Quantifying Uncertainty in Deep Spatiotemporal Forecasting | May 25, 2021 | Decision Makingquantile regression | CodeCode Available | 1 |
| Deep learning with self-supervision and uncertainty regularization to count fish in underwater images | Apr 30, 2021 | Crowd CountingDecision Making | CodeCode Available | 1 |
| Bayesian graph convolutional neural networks via tempered MCMC | Apr 17, 2021 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
| ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation | Apr 14, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 1 |
