| Optimal Conformal Prediction under Epistemic Uncertainty | May 25, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Global universal approximation of functional input maps on weighted spaces | Jun 5, 2023 | Gaussian Processesregression | CodeCode Available | 0 |
| Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak | Feb 15, 2025 | Bayesian InferenceConformal Prediction | CodeCode Available | 0 |
| GNN's Uncertainty Quantification using Self-Distillation | Jun 24, 2025 | Knowledge DistillationUncertainty Quantification | CodeCode Available | 0 |
| We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric Uncertainty | Oct 23, 2019 | Bayesian InferenceComputed Tomography (CT) | CodeCode Available | 0 |
| Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors | Jul 9, 2021 | Objectobject-detection | CodeCode Available | 0 |
| Uncertainty quantification using martingales for misspecified Gaussian processes | Jun 12, 2020 | Bayesian OptimizationGaussian Processes | CodeCode Available | 0 |
| Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks | Feb 4, 2025 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images | Sep 5, 2022 | Semantic SegmentationUncertainty Quantification | CodeCode Available | 0 |
| Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation | Aug 15, 2023 | BenchmarkingMedical Image Analysis | CodeCode Available | 0 |