| Conditional Shift-Robust Conformal Prediction for Graph Neural Network | May 20, 2024 | Conformal PredictionGraph Neural Network | —Unverified | 0 |
| Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation | Oct 17, 2024 | DenoisingGaussian Processes | —Unverified | 0 |
| A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies | Aug 26, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks | May 16, 2025 | Photoplethysmography (PPG)Uncertainty Quantification | —Unverified | 0 |
| Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector | Oct 29, 2023 | counterfactualDecision Making | —Unverified | 0 |
| Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts | Aug 6, 2024 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Composing Normalizing Flows for Inverse Problems | Feb 26, 2020 | Compressive SensingUncertainty Quantification | —Unverified | 0 |
| Conditional Uncertainty Quantification for Tensorized Topological Neural Networks | Oct 20, 2024 | Decision MakingGraph Classification | —Unverified | 0 |
| Bridging the Gap Between Explainable AI and Uncertainty Quantification to Enhance Trustability | May 25, 2021 | FairnessUncertainty Quantification | —Unverified | 0 |
| Bridging Data-Driven and Physics-Based Models: A Consensus Multi-Model Kalman Filter for Robust Vehicle State Estimation | Jun 15, 2025 | Autonomous DrivingState Estimation | —Unverified | 0 |
