| Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting | Dec 22, 2018 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods | Nov 13, 2024 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization | Sep 27, 2023 | DiversityOut-of-Distribution Detection | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Denoising Score-Matching for Uncertainty Quantification in Inverse Problems | Nov 16, 2020 | DenoisingMRI Reconstruction | CodeCode Available | 0 | 5 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| Achieving Equalized Odds by Resampling Sensitive Attributes | Jun 8, 2020 | AttributeFairness | CodeCode Available | 0 | 5 |
| Conformal time series decomposition with component-wise exchangeability | Jun 24, 2024 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
