| Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems | Oct 2, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Decision-Focused Uncertainty Quantification | Oct 2, 2024 | Conformal PredictionDecision Making | CodeCode Available | 0 |
| Uncertainty Quantification with Bayesian Higher Order ReLU KANs | Oct 2, 2024 | Computational EfficiencyKolmogorov-Arnold Networks | CodeCode Available | 0 |
| Stabilizing the Kumaraswamy Distribution | Oct 1, 2024 | Link PredictionMulti-Armed Bandits | —Unverified | 0 |
| Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown | Oct 1, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation | Oct 1, 2024 | EEGElectromyography (EMG) | CodeCode Available | 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 |
| 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 |
