| Bayesian Emulation for Computer Models with Multiple Partial Discontinuities | Oct 19, 2022 | Uncertainty Quantification | CodeCode Available | 0 |
| Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks | Feb 10, 2025 | NavigateProbabilistic Deep Learning | CodeCode Available | 0 |
| Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty Quantification | Jul 22, 2021 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 0 |
| Minimal Achievable Sufficient Statistic Learning | May 19, 2019 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 0 |
| WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework | Feb 1, 2024 | Gesture RecognitionUncertainty Quantification | CodeCode Available | 0 |
| Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA | Feb 17, 2025 | Computational Efficiencyparameter-efficient fine-tuning | CodeCode Available | 0 |
| Minimax Confidence Intervals for the Sliced Wasserstein Distance | Sep 17, 2019 | Uncertainty Quantification | CodeCode Available | 0 |
| Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems | Feb 10, 2022 | Generative Adversarial NetworkStochastic Optimization | CodeCode Available | 0 |
| Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition | Jul 1, 2024 | Emotion RecognitionPrediction | CodeCode Available | 0 |
| Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks | Jul 9, 2022 | Data AugmentationUncertainty Quantification | CodeCode Available | 0 |
