| Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach | Dec 15, 2018 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 | 0 |
| From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion | Jul 11, 2025 | Domain GeneralizationUncertainty Quantification | —Unverified | 0 | 0 |
| From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning | Oct 17, 2024 | GeophysicsKolmogorov-Arnold Networks | —Unverified | 0 | 0 |
| From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning | Apr 22, 2025 | Conformal PredictionIn-Context Learning | —Unverified | 0 | 0 |
| From Robustness to Improved Generalization and Calibration in Pre-trained Language Models | Mar 31, 2024 | Domain GeneralizationUncertainty Quantification | —Unverified | 0 | 0 |
| Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes | Jun 5, 2024 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| Exponential Convergence of CAVI for Bayesian PCA | May 22, 2025 | Dimensionality ReductionUncertainty Quantification | —Unverified | 0 | 0 |
| Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders | May 27, 2021 | Uncertainty QuantificationVariational Inference | —Unverified | 0 | 0 |
| A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval | Jan 6, 2025 | In-Context LearningSensor Modeling | —Unverified | 0 | 0 |
| Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification | Feb 6, 2023 | regressionUncertainty Quantification | —Unverified | 0 | 0 |
