| BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification | May 28, 2024 | Bayesian OptimizationUncertainty Quantification | CodeCode Available | 0 |
| SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals | May 28, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 |
| Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba | May 27, 2024 | Generative Adversarial NetworkImage Reconstruction | —Unverified | 0 |
| Kernel-based Optimally Weighted Conformal Prediction Intervals | May 27, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation | May 27, 2024 | Autonomous DrivingDepth Estimation | —Unverified | 0 |
| Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation | May 25, 2024 | Conformal PredictionMULTI-VIEW LEARNING | CodeCode Available | 0 |
| Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction | May 24, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| Hierarchical Uncertainty Exploration via Feedforward Posterior Trees | May 24, 2024 | Image RestorationUncertainty Quantification | —Unverified | 0 |
| ProDAG: Projected Variational Inference for Directed Acyclic Graphs | May 24, 2024 | Causal InferenceCombinatorial Optimization | CodeCode Available | 0 |
| Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification | May 24, 2024 | Bayesian InferenceIn-Context Learning | —Unverified | 0 |
