| Evaluating Bayesian Deep Learning Methods for Semantic Segmentation | Nov 30, 2018 | Anomaly DetectionAutonomous Driving | CodeCode Available | 0 | 5 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception | Feb 11, 2025 | Conformal PredictionUncertainty Quantification | CodeCode Available | 0 | 5 |
| BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification | May 28, 2024 | Bayesian OptimizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing | Feb 24, 2020 | BIG-bench Machine LearningEnsemble Learning | CodeCode Available | 0 | 5 |
| Estimating prevalence with precision and accuracy | Jul 8, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Better Batch for Deep Probabilistic Time Series Forecasting | May 26, 2023 | Decision MakingProbabilistic Time Series Forecasting | CodeCode Available | 0 | 5 |
| A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime | Feb 11, 2019 | Small Data Image ClassificationUncertainty Quantification | CodeCode Available | 0 | 5 |
