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| Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis | Mar 19, 2023 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration | Jun 10, 2024 | Conformal Predictionimbalanced classification | CodeCode Available | 0 |
| Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks | Jun 9, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification with Bayesian Higher Order ReLU KANs | Oct 2, 2024 | Computational EfficiencyKolmogorov-Arnold Networks | CodeCode Available | 0 |
| Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis | Jul 16, 2024 | Time SeriesUncertainty Quantification | CodeCode Available | 0 |
| Being a Bit Frequentist Improves Bayesian Neural Networks | Jun 18, 2021 | Bayesian InferenceOut of Distribution (OOD) Detection | CodeCode Available | 0 |
| Winner-takes-all learners are geometry-aware conditional density estimators | Jun 7, 2024 | AllDensity Estimation | CodeCode Available | 0 |
| SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing | Jul 24, 2024 | ImputationMissing Values | CodeCode Available | 0 |
| Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal Prediction | Mar 18, 2025 | Conformal PredictionModel Selection | CodeCode Available | 0 |
