| Evaluating Aleatoric Uncertainty via Conditional Generative Models | Jun 9, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Benchmarking Bayesian neural networks and evaluation metrics for regression tasks | Jun 8, 2022 | BenchmarkingOpen-Ended Question Answering | —Unverified | 0 |
| FedPop: A Bayesian Approach for Personalised Federated Learning | Jun 7, 2022 | Federated LearningUncertainty Quantification | —Unverified | 0 |
| A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees | Jun 6, 2022 | Bayesian InferenceModel Predictive Control | —Unverified | 0 |
| Robust Calibration with Multi-domain Temperature Scaling | Jun 6, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Masked Bayesian Neural Networks : Computation and Optimality | Jun 2, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Dynamic Linear Transformer for 3D Biomedical Image Segmentation | Jun 1, 2022 | 3D Medical Imaging SegmentationDecoder | CodeCode Available | 0 |
| Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics | May 31, 2022 | Generative Adversarial NetworkUncertainty Quantification | CodeCode Available | 0 |
| Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization | May 31, 2022 | scoring ruleUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning | May 30, 2022 | Neural Architecture SearchSurvey | —Unverified | 0 |
