| Active Learning for Deep Gaussian Process Surrogates | Dec 15, 2020 | Active LearningGaussian Processes | CodeCode Available | 0 | 5 |
| Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection | Mar 2, 2024 | QuantizationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Expectation consistency for calibration of neural networks | Mar 5, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Extrapolation-Aware Nonparametric Statistical Inference | Feb 15, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events | Dec 18, 2024 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks | Jan 10, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 0 | 5 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines | Jun 13, 2024 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
