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| Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling | Nov 15, 2023 | Uncertainty Quantification | CodeCode Available | 1 |
| Frequentist Guarantees of Distributed (Non)-Bayesian Inference | Nov 14, 2023 | Bayesian InferenceElectrical Engineering | —Unverified | 0 |
| Feedforward neural networks as statistical models: Improving interpretability through uncertainty quantification | Nov 14, 2023 | PredictionUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification in Neural-Network Based Pain Intensity Estimation | Nov 14, 2023 | Decision MakingManagement | —Unverified | 0 |
| Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes | Nov 14, 2023 | Time SeriesUncertainty Quantification | CodeCode Available | 0 |
| Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process | Nov 13, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty estimation of machine learning spatial precipitation predictions from satellite data | Nov 13, 2023 | BenchmarkingFeature Importance | —Unverified | 0 |
| Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning | Nov 13, 2023 | Meta-LearningMeta Reinforcement Learning | —Unverified | 0 |
