| Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown | Oct 1, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Stabilizing the Kumaraswamy Distribution | Oct 1, 2024 | Link PredictionMulti-Armed Bandits | —Unverified | 0 |
| Conformal Prediction for Dose-Response Models with Continuous Treatments | Sep 30, 2024 | Conformal PredictionDecision Making | CodeCode Available | 0 |
| Improved User Identification through Calibrated Monte-Carlo Dropout | Sep 29, 2024 | Classifier calibrationUncertainty Quantification | CodeCode Available | 0 |
| Positional Encoder Graph Quantile Neural Networks for Geographic Data | Sep 27, 2024 | Density EstimationUncertainty Quantification | CodeCode Available | 2 |
| A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization | Sep 27, 2024 | Out-of-Distribution GeneralizationUncertainty Quantification | —Unverified | 0 |
| Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs | Sep 26, 2024 | BenchmarkingConformal Prediction | CodeCode Available | 0 |
| A parametric framework for kernel-based dynamic mode decomposition using deep learning | Sep 25, 2024 | Computational EfficiencyDimensionality Reduction | CodeCode Available | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation | Sep 25, 2024 | Bayesian InferenceDepth Estimation | —Unverified | 0 |
