| Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN | Jun 12, 2024 | Atomic ForcesEnsemble Learning | —Unverified | 0 |
| Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions | Jun 11, 2024 | Conformal PredictionUncertainty Quantification | —Unverified | 0 |
| Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis | Jun 11, 2024 | Medical Image AnalysisUncertainty Quantification | —Unverified | 0 |
| Neural Visibility Field for Uncertainty-Driven Active Mapping | Jun 11, 2024 | NeRFPosition | —Unverified | 0 |
| Beyond the Norms: Detecting Prediction Errors in Regression Models | Jun 11, 2024 | DiversityPrediction | —Unverified | 0 |
| A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty | Jun 10, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration | Jun 10, 2024 | Conformal Predictionimbalanced classification | CodeCode Available | 0 |
| Distribution-Free Predictive Inference under Unknown Temporal Drift | Jun 10, 2024 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| Winner-takes-all learners are geometry-aware conditional density estimators | Jun 7, 2024 | AllDensity Estimation | CodeCode Available | 0 |
| On Subjective Uncertainty Quantification and Calibration in Natural Language Generation | Jun 7, 2024 | In-Context LearningMachine Translation | CodeCode Available | 0 |
