| On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors | Mar 13, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty Quantification in Deep Learning Classification by the Delta Method | Dec 2, 2019 | Deep LearningGeneral Classification | 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 |
| A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage | May 9, 2021 | Decision MakingManagement | CodeCode Available | 0 | 5 |
| Bayesian Quantification with Black-Box Estimators | Feb 17, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation | May 25, 2024 | Conformal PredictionMULTI-VIEW LEARNING | 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 |
| Achieving Risk Control in Online Learning Settings | May 18, 2022 | Conformal PredictionDepth Estimation | CodeCode Available | 0 | 5 |
| Extrapolation-Aware Nonparametric Statistical Inference | Feb 15, 2024 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks | Feb 4, 2025 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 | 5 |
| Expectation consistency for calibration of neural networks | Mar 5, 2023 | Uncertainty Quantification | CodeCode Available | 0 | 5 |
| Achieving Equalized Odds by Resampling Sensitive Attributes | Jun 8, 2020 | AttributeFairness | 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 |
| FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation | Jul 14, 2023 | Uncertainty 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 |
| Bayesian Parameter Estimation for Dynamical Models in Systems Biology | Apr 11, 2022 | parameter estimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| A Bayesian Multiscale Deep Learning Framework for Flows in Random Media | Mar 8, 2021 | 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 |
| Achieving Distributive Justice in Federated Learning via Uncertainty Quantification | Apr 22, 2025 | EthicsFairness | CodeCode Available | 0 | 5 |
| E-Values Expand the Scope of Conformal Prediction | Mar 17, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| Bayesian Optical Flow with Uncertainty Quantification | Nov 4, 2016 | Optical Flow EstimationUncertainty Quantification | CodeCode Available | 0 | 5 |
| Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs | Mar 20, 2024 | Uncertainty Quantificationvalid | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 | 5 |
| An Online Bootstrap for Time Series | Oct 30, 2023 | Time SeriesUncertainty Quantification | CodeCode Available | 0 | 5 |
