| Efficient Deep Gaussian Process Models for Variable-Sized Input | May 16, 2019 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Informativeness of Weighted Conformal Prediction | May 10, 2024 | Conformal PredictionInformativeness | CodeCode Available | 0 |
| A Kernel-Expanded Stochastic Neural Network | Jan 14, 2022 | ImputationPrediction | CodeCode Available | 0 |
| Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysis | Mar 1, 2024 | DiagnosticSensitivity | CodeCode Available | 0 |
| Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation | May 25, 2024 | Conformal PredictionMULTI-VIEW LEARNING | CodeCode Available | 0 |
| Conformalized Interval Arithmetic with Symmetric Calibration | Aug 20, 2024 | Conformal PredictionDecision Making | CodeCode Available | 0 |
| SGUQ: Staged Graph Convolution Neural Network for Alzheimer's Disease Diagnosis using Multi-Omics Data | Oct 14, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes | May 17, 2025 | Gaussian ProcessesImputation | CodeCode Available | 0 |
| Uncertainty Quantification for cross-subject Motor Imagery classification | Mar 14, 2024 | Brain Computer InterfaceClassification | CodeCode Available | 0 |
| Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis | Jul 8, 2024 | Image SegmentationLesion Segmentation | CodeCode Available | 0 |
