| CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning | Aug 25, 2022 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| L-HYDRA: Multi-Head Physics-Informed Neural Networks | Jan 5, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Variational Inference on the Final-Layer Output of Neural Networks | Feb 5, 2023 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE) | Feb 7, 2025 | Uncertainty Quantification | CodeCode Available | 0 |
| Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection | Mar 18, 2025 | Uncertainty Quantificationzero-shot-classification | CodeCode Available | 0 |
| Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation | Apr 23, 2020 | DenoisingForm | CodeCode Available | 0 |
| Likelihood-based estimation and prediction for a measles outbreak in Samoa | Mar 30, 2021 | Uncertainty Quantification | CodeCode Available | 0 |
| Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization | May 31, 2022 | scoring ruleUncertainty Quantification | CodeCode Available | 0 |
| An Ensemble Framework for Probabilistic Short-Term Load Forecasting Based on BiTCN and Deep Attention Networks | Feb 25, 2025 | Decision MakingDeep Attention | CodeCode Available | 0 |
| Linear Opinion Pooling for Uncertainty Quantification on Graphs | Jun 6, 2024 | Node ClassificationUncertainty Quantification | CodeCode Available | 0 |
