| Improving Group Robustness on Spurious Correlation via Evidential Alignment | Jun 12, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets | Jul 5, 2022 | Conformal PredictionDeep Learning | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bayesian Active Learning By Distribution Disagreement | Jan 2, 2025 | Active Learningregression | CodeCode Available | 0 | 5 |
| Deep Ensembles Work, But Are They Necessary? | Feb 14, 2022 | DiversityUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bayesian active learning for optimization and uncertainty quantification in protein docking | Jan 31, 2019 | Active LearningBinary Classification | CodeCode Available | 0 | 5 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes | May 17, 2025 | Gaussian ProcessesImputation | CodeCode Available | 0 | 5 |
| Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification | Nov 20, 2022 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets | Dec 16, 2024 | Uncertainty Quantificationvalid | CodeCode Available | 0 | 5 |