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| Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels | May 18, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| Generative emulation of chaotic dynamics with coherent prior | Apr 19, 2025 | DenoisingTrajectory Planning | —Unverified | 0 | 0 |
| EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation | Jul 18, 2023 | Image SegmentationMedical Image Segmentation | —Unverified | 0 | 0 |
| Generative Latent Neural PDE Solver using Flow Matching | Mar 28, 2025 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations | Feb 23, 2024 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems | Jul 17, 2023 | Out-of-Distribution GeneralizationTransfer Learning | —Unverified | 0 | 0 |
| Generative structured normalizing flow Gaussian processes applied to spectroscopic data | Dec 14, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| Certified and fast computations with shallow covariance kernels | Jan 24, 2020 | Uncertainty Quantification | —Unverified | 0 | 0 |
| Evidential time-to-event prediction with calibrated uncertainty quantification | Nov 12, 2024 | Decision MakingPrediction | —Unverified | 0 | 0 |
