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| Compact Bayesian Neural Networks via pruned MCMC sampling | Jan 12, 2025 | Network PruningUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach | Jan 12, 2025 | Conformal PredictionPrediction | —Unverified | 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 |
| Distilling Calibration via Conformalized Credal Inference | Jan 10, 2025 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Geophysical inverse problems with measurement-guided diffusion models | Jan 8, 2025 | DenoisingSeismic Inversion | —Unverified | 0 |
| Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks | Jan 8, 2025 | Question AnsweringUncertainty Quantification | —Unverified | 0 |
| Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks | Jan 8, 2025 | Out of Distribution (OOD) DetectionUncertainty Quantification | —Unverified | 0 |
| A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval | Jan 6, 2025 | In-Context LearningSensor Modeling | —Unverified | 0 |
