| Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems | Oct 18, 2023 | Image ReconstructionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Fixing Overconfidence in Dynamic Neural Networks | Feb 13, 2023 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model | Oct 9, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Counterfactual Plans under Distributional Ambiguity | Jan 29, 2022 | counterfactualUncertainty Quantification | CodeCode Available | 0 | 5 |
| Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA | Oct 31, 2024 | Deep LearningDiversity | CodeCode Available | 0 | 5 |
| A Multi-level procedure for enhancing accuracy of machine learning algorithms | Sep 20, 2019 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Coresets for Scalable Bayesian Logistic Regression | May 20, 2016 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures | Oct 6, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
