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| Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation | Sep 12, 2023 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 |
| Physics-informed reinforcement learning via probabilistic co-adjustment functions | Sep 11, 2023 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction | Sep 10, 2023 | Graph Neural NetworkPrediction | CodeCode Available | 1 |
| Data-driven Bayesian Control of Port-Hamiltonian Systems | Sep 9, 2023 | energy managementGaussian Processes | —Unverified | 0 |
| Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics | Sep 8, 2023 | ManagementPrognosis | —Unverified | 0 |
| Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty | Sep 7, 2023 | In-Context LearningInstruction Following | —Unverified | 0 |
| Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks | Sep 6, 2023 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields | Sep 6, 2023 | Depth EstimationNeRF | CodeCode Available | 1 |
| Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter | Sep 6, 2023 | Deep LearningState Estimation | CodeCode Available | 1 |
