| Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions | Jun 11, 2024 | Conformal PredictionUncertainty Quantification | —Unverified | 0 | 0 |
| Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators | Oct 31, 2024 | Conformal PredictionFederated Learning | —Unverified | 0 | 0 |
| Conformalized Link Prediction on Graph Neural Networks | Jun 26, 2024 | Conformal PredictionLink Prediction | —Unverified | 0 | 0 |
| AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 | 0 |
| A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees | Jun 6, 2022 | Bayesian InferenceModel Predictive Control | —Unverified | 0 | 0 |
| Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning | Apr 21, 2025 | Conformal PredictionKolmogorov-Arnold Networks | —Unverified | 0 | 0 |
| Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback | Oct 11, 2024 | Conformal PredictionImitation Learning | —Unverified | 0 | 0 |
| A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes | Sep 18, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| A Kernel Framework to Quantify a Model's Local Predictive Uncertainty under Data Distributional Shifts | Mar 2, 2021 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging | Apr 10, 2025 | Conformal PredictionImage Inpainting | —Unverified | 0 | 0 |
