| FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection | Nov 1, 2024 | ClassificationContrastive Learning | CodeCode Available | 0 |
| Fixing Overconfidence in Dynamic Neural Networks | Feb 13, 2023 | Decision MakingDeep Learning | CodeCode Available | 0 |
| Flat Posterior Does Matter For Bayesian Model Averaging | Jun 21, 2024 | modelTransfer Learning | CodeCode Available | 0 |
| Flexible Amortized Variational Inference in qBOLD MRI | Mar 11, 2022 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data | Sep 29, 2021 | feature selectionUncertainty Quantification | CodeCode Available | 0 |
| Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks | Jun 13, 2024 | Crowd CountingOut-of-Distribution Detection | CodeCode Available | 0 |
| A parametric framework for kernel-based dynamic mode decomposition using deep learning | Sep 25, 2024 | Computational EfficiencyDimensionality Reduction | CodeCode Available | 0 |
| Forecasting Local Ionospheric Parameters Using Transformers | Feb 20, 2025 | Uncertainty Quantification | CodeCode Available | 0 |
| CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks | Sep 6, 2024 | Node ClassificationUncertainty Quantification | CodeCode Available | 0 |
| NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data | Aug 8, 2022 | Decision MakingImage Reconstruction | CodeCode Available | 0 |