| Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task | Mar 28, 2023 | Bayesian InferenceBayesian Optimization | —Unverified | 0 |
| Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation | Mar 25, 2023 | Autonomous VehiclesConformal Prediction | —Unverified | 0 |
| Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification | Mar 23, 2023 | Image SegmentationSegmentation | CodeCode Available | 0 |
| Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation | Mar 22, 2023 | Conformal PredictionKeypoint Detection | CodeCode Available | 1 |
| Novel Class Discovery for 3D Point Cloud Semantic Segmentation | Mar 21, 2023 | 2D Semantic SegmentationNovel Class Discovery | CodeCode Available | 1 |
| Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data | Mar 20, 2023 | Operator learningUncertainty Quantification | —Unverified | 0 |
| Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis | Mar 19, 2023 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review | Mar 18, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Adaptive Modeling of Uncertainties for Traffic Forecasting | Mar 16, 2023 | ManagementPrediction | —Unverified | 0 |
| Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field | Mar 15, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review | Mar 14, 2023 | Experimental DesignUncertainty Quantification | —Unverified | 0 |
| Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion | Mar 13, 2023 | Physics-informed machine learningUncertainty Quantification | —Unverified | 0 |
| Validation of uncertainty quantification metrics: a primer based on the consistency and adaptivity concepts | Mar 13, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty quantification in neural network classifiers -- a local linear approach | Mar 10, 2023 | image-classificationImage Classification | —Unverified | 0 |
| Lifelong Machine Learning Potentials | Mar 10, 2023 | Continual LearningIncremental Learning | —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 |
| Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes | Mar 4, 2023 | Decision MakingGaussian Processes | CodeCode Available | 1 |
| 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 |
| Multi-Head Multi-Loss Model Calibration | Mar 2, 2023 | image-classificationImage Classification | CodeCode Available | 0 |
| Toward Robust Uncertainty Estimation with Random Activation Functions | Feb 28, 2023 | DiversityUncertainty Quantification | CodeCode Available | 0 |
