| Multi-Head Multi-Loss Model Calibration | Mar 2, 2023 | image-classificationImage Classification | CodeCode Available | 0 |
| Toward Robust Uncertainty Estimation with Random Activation Functions | Feb 28, 2023 | DiversityUncertainty Quantification | CodeCode Available | 0 |
| Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization | Feb 28, 2023 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Unsupervised Domain Adaptation for Low-dose CT Reconstruction via Bayesian Uncertainty Alignment | Feb 26, 2023 | Computed Tomography (CT)CT Reconstruction | CodeCode Available | 0 |
| A Survey on Uncertainty Quantification Methods for Deep Learning | Feb 26, 2023 | Active LearningAutonomous Driving | —Unverified | 0 |
| Calibrated Regression Against An Adversary Without Regret | Feb 23, 2023 | Bayesian OptimizationDecision Making | —Unverified | 0 |
| Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting | Feb 22, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Improved uncertainty quantification for neural networks with Bayesian last layer | Feb 21, 2023 | Gaussian Processesregression | CodeCode Available | 0 |
| Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots | Feb 21, 2023 | Computational EfficiencyUncertainty Quantification | CodeCode Available | 0 |
| Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles | Feb 20, 2023 | Bayesian OptimizationDecision Making | —Unverified | 0 |
