| Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction | Apr 24, 2025 | Conformal PredictionHallucination | —Unverified | 0 |
| Bayesian deep learning of affordances from RGB images | Sep 27, 2021 | Continual LearningDeep Learning | —Unverified | 0 |
| Generative emulation of chaotic dynamics with coherent prior | Apr 19, 2025 | DenoisingTrajectory Planning | —Unverified | 0 |
| Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks | Feb 23, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| Generative Latent Neural PDE Solver using Flow Matching | Mar 28, 2025 | Uncertainty Quantification | —Unverified | 0 |
| Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations | Feb 23, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Generative Parameter Sampler For Scalable Uncertainty Quantification | May 28, 2019 | General ClassificationUncertainty Quantification | —Unverified | 0 |
| Generative structured normalizing flow Gaussian processes applied to spectroscopic data | Dec 14, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Generative vs. Discriminative modeling under the lens of uncertainty quantification | Jun 13, 2024 | Uncertainty Quantification | —Unverified | 0 |
| How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning | Dec 13, 2023 | Multi-agent Reinforcement LearningSMAC | —Unverified | 0 |
