| A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes | Sep 18, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge | Sep 18, 2023 | 3D Object Detectionobject-detection | —Unverified | 0 |
| Uncertainty Quantification of Autoencoder-based Koopman Operator | Sep 18, 2023 | DecoderUncertainty Quantification | —Unverified | 0 |
| A Critical Analysis of Internal Reliability for Uncertainty Quantification of Dense Image Matching in Multi-view Stereo | Sep 17, 2023 | Uncertainty Quantification | —Unverified | 0 |
| A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification | Sep 15, 2023 | Decision MakingSpecificity | CodeCode Available | 0 |
| Scalable Model-Based Gaussian Process Clustering | Sep 14, 2023 | ClusteringGaussian Processes | —Unverified | 0 |
| Uncertainty quantification for learned ISTA | Sep 14, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Tree of Uncertain Thoughts Reasoning for Large Language Models | Sep 14, 2023 | Decision MakingResponse Generation | —Unverified | 0 |
| Physics-informed Bayesian inference of external potentials in classical density-functional theory | Sep 13, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System | Sep 13, 2023 | Data IntegrationUncertainty Quantification | —Unverified | 0 |
| Uncertainty-aware Traffic Prediction under Missing Data | Sep 13, 2023 | Decision MakingGraph Neural Network | CodeCode Available | 0 |
| Identifying Bayesian Optimal Experiments for Uncertain Biochemical Pathway Models | Sep 12, 2023 | Experimental DesignPrediction | —Unverified | 0 |
| Promises of Deep Kernel Learning for Control Synthesis | Sep 12, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Medical Image Segmentation with Belief Function Theory and Deep Learning | Sep 12, 2023 | Deep LearningImage Segmentation | —Unverified | 0 |
| Calibration in Machine Learning Uncertainty Quantification: beyond consistency to target adaptivity | Sep 12, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Band-gap regression with architecture-optimized message-passing neural networks | Sep 12, 2023 | Band Gapband gap regression | CodeCode Available | 0 |
| 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 |
