| Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation | Sep 25, 2024 | Bayesian InferenceDepth Estimation | —Unverified | 0 |
| A parametric framework for kernel-based dynamic mode decomposition using deep learning | Sep 25, 2024 | Computational EfficiencyDimensionality Reduction | CodeCode Available | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites | Sep 24, 2024 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery | Sep 24, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review | Sep 24, 2024 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors | Sep 23, 2024 | Computational EfficiencyConformal Prediction | —Unverified | 0 |
| Bayesian computation with generative diffusion models by Multilevel Monte Carlo | Sep 23, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification | Sep 19, 2024 | Decision MakingDiagnostic | —Unverified | 0 |
| Deep Probability Segmentation: Are segmentation models probability estimators? | Sep 19, 2024 | SegmentationUncertainty Quantification | —Unverified | 0 |