| Beyond Calibration: Assessing the Probabilistic Fit of Neural Regressors via Conditional Congruence | May 20, 2024 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Conditional Shift-Robust Conformal Prediction for Graph Neural Network | May 20, 2024 | Conformal PredictionGraph Neural Network | —Unverified | 0 |
| Efficient Line Search Method Based on Regression and Uncertainty Quantification | May 17, 2024 | Bayesian Optimizationregression | —Unverified | 0 |
| Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis | May 17, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Multi-Source Conformal Inference Under Distribution Shift | May 15, 2024 | Decision MakingLength-of-Stay prediction | CodeCode Available | 0 |
| Improving Label Error Detection and Elimination with Uncertainty Quantification | May 15, 2024 | Ensemble Learningimage-classification | —Unverified | 0 |
| Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning | May 15, 2024 | regressionUncertainty Quantification | CodeCode Available | 0 |
| The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks | May 14, 2024 | Adversarial DefenseAdversarial Robustness | CodeCode Available | 0 |
| CVAE-SM: A Conditional Variational Autoencoder with Style Modulation for Efficient Uncertainty Quantification | May 13, 2024 | Image SegmentationManagement | CodeCode Available | 0 |
| Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing | May 13, 2024 | Uncertainty Quantification | —Unverified | 0 |