| Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion | Mar 13, 2023 | Physics-informed machine learningUncertainty Quantification | —Unverified | 0 |
| Lifelong Machine Learning Potentials | Mar 10, 2023 | Continual LearningIncremental Learning | —Unverified | 0 |
| Uncertainty quantification in neural network classifiers -- a local linear approach | Mar 10, 2023 | image-classificationImage Classification | —Unverified | 0 |
| HappyMap: A Generalized Multi-calibration Method | Mar 8, 2023 | Conformal PredictionFairness | —Unverified | 0 |
| Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks | Mar 7, 2023 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification | Mar 6, 2023 | Image ReconstructionUncertainty Quantification | —Unverified | 0 |
| Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis | Mar 6, 2023 | FairnessLesion Classification | —Unverified | 0 |
| Expectation consistency for calibration of neural networks | Mar 5, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control | Mar 4, 2023 | MuJoCoQ-Learning | —Unverified | 0 |
| Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries | Mar 4, 2023 | DiversityRepresentation Learning | CodeCode Available | 0 |
