| Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions | Jul 20, 2021 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability | Jul 18, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Compressed particle methods for expensive models with application in Astronomy and Remote Sensing | Jul 18, 2021 | AstronomyBayesian Inference | —Unverified | 0 |
| Model Uncertainty and Correctability for Directed Graphical Models | Jul 17, 2021 | BIG-bench Machine LearningMaterials Screening | —Unverified | 0 |
| Uncertainty Prediction for Machine Learning Models of Material Properties | Jul 16, 2021 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling | Jul 16, 2021 | quantile regressionUncertainty Quantification | CodeCode Available | 0 |
| Tracing Halpha Fibrils through Bayesian Deep Learning | Jul 16, 2021 | Deep LearningImage Segmentation | —Unverified | 0 |
| Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving | Jul 11, 2021 | Autonomous DrivingDecision Making | CodeCode Available | 0 |
| HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks | Jul 10, 2021 | DiversityUncertainty Quantification | —Unverified | 0 |
| L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation | Jul 9, 2021 | Uncertainty Quantification | —Unverified | 0 |
