| Extrapolation-Aware Nonparametric Statistical Inference | Feb 15, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Langevin-gradient parallel tempering for Bayesian neural learning | Nov 11, 2018 | Decision MakingTime Series | CodeCode Available | 0 | 5 |
| FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection | Nov 1, 2024 | ClassificationContrastive Learning | CodeCode Available | 0 | 5 |
| Being a Bit Frequentist Improves Bayesian Neural Networks | Jun 18, 2021 | Bayesian InferenceOut of Distribution (OOD) Detection | CodeCode Available | 0 | 5 |
| A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification | Jan 13, 2020 | Seismic ImagingUncertainty Quantification | CodeCode Available | 0 | 5 |
| An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling | Jul 16, 2021 | quantile regressionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings | Nov 18, 2021 | Out-of-Distribution DetectionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands | May 2, 2018 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bayesian uncertainty quantification for data-driven equation learning | Feb 23, 2021 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Expectation consistency for calibration of neural networks | Mar 5, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Leave-One-Out Stable Conformal Prediction | Apr 16, 2025 | Computational EfficiencyConformal Prediction | CodeCode Available | 0 | 5 |
| Length Optimization in Conformal Prediction | Jun 27, 2024 | Conformal PredictionLanguage Modeling | CodeCode Available | 0 | 5 |
| Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs | Apr 18, 2025 | Information RetrievalUncertainty 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 |
| A Closed-Form Uncertainty Propagation in Non-Rigid Structure from Motion | May 10, 2020 | FormUncertainty 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 |
| Bayesian Spillover Graphs for Dynamic Networks | Mar 3, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Uncertainty Quantification for Local Model Explanations Without Model Access | Jan 13, 2023 | modelregression | CodeCode Available | 0 | 5 |
| Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements | Jan 6, 2025 | Computational EfficiencyUncertainty Quantification | CodeCode Available | 0 | 5 |
| Estimation of spatio-temporal extremes via generative neural networks | Jul 11, 2024 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Active Learning for Deep Gaussian Process Surrogates | Dec 15, 2020 | Active LearningGaussian Processes | CodeCode Available | 0 | 5 |
| Conceptualizing Uncertainty | Mar 5, 2025 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| A Study on the Calibration of In-context Learning | Dec 7, 2023 | In-Context LearningNatural Language Understanding | CodeCode Available | 0 | 5 |
| Estimation and Applications of Quantiles in Deep Binary Classification | Feb 9, 2021 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
