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| A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation | Jan 14, 2025 | Computational EfficiencyDepth Estimation | —Unverified | 0 |
| Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation | Jun 10, 2025 | Uncertainty Quantification | —Unverified | 0 |
| CoCoAFusE: Beyond Mixtures of Experts via Model Fusion | May 2, 2025 | Mixture-of-ExpertsPhilosophy | —Unverified | 0 |
| Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems | Feb 16, 2025 | Computational EfficiencyDecision Making | —Unverified | 0 |
| Combined Data and Deep Learning Model Uncertainties: An Application to the Measurement of Solid Fuel Regression Rate | Oct 25, 2022 | regressionUncertainty Quantification | —Unverified | 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 |
| A Critical Analysis of Internal Reliability for Uncertainty Quantification of Dense Image Matching in Multi-view Stereo | Sep 17, 2023 | Uncertainty Quantification | —Unverified | 0 |
| A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness | May 1, 2022 | Data AugmentationDeep Learning | —Unverified | 0 |
