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| Achieving Distributive Justice in Federated Learning via Uncertainty Quantification | Apr 22, 2025 | EthicsFairness | CodeCode Available | 0 |
| Noise-Adaptive Conformal Classification with Marginal Coverage | Jan 29, 2025 | ClassificationUncertainty Quantification | CodeCode Available | 0 |
| Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex | Feb 21, 2024 | Classifier calibrationUncertainty Quantification | CodeCode Available | 0 |
| Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning | Jul 18, 2024 | regressionUncertainty Quantification | CodeCode Available | 0 |
| 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 |
| Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction | May 28, 2024 | Conformal PredictionPrediction Intervals | CodeCode Available | 0 |
| Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction | Aug 4, 2023 | MRI ReconstructionSegmentation | CodeCode Available | 0 |
| 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 |
| Bayesian adaptive and interpretable functional regression for exposure profiles | Mar 1, 2022 | Bayesian Inferenceregression | CodeCode Available | 0 |
