| Systems Challenges for Trustworthy Embodied Systems | Jan 10, 2022 | Self-LearningUncertainty Quantification | —Unverified | 0 |
| Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions | Jan 9, 2022 | ManagementUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application | Jan 6, 2022 | Collision AvoidancePrediction Intervals | —Unverified | 0 |
| Bayesian Neural Hawkes Process for Event Uncertainty Prediction | Dec 29, 2021 | Decision MakingPoint Processes | —Unverified | 0 |
| Wasserstein Generative Learning of Conditional Distribution | Dec 19, 2021 | Density EstimationImage Generation | CodeCode Available | 0 |
| Variational Bayes for high-dimensional proportional hazards models with applications within gene expression | Dec 19, 2021 | Uncertainty QuantificationVariable Selection | CodeCode Available | 0 |
| QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results | Dec 19, 2021 | BenchmarkingBrain Tumor Segmentation | CodeCode Available | 0 |
| A data-centric weak supervised learning for highway traffic incident detection | Dec 17, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift | Dec 16, 2021 | BenchmarkingClassification | —Unverified | 0 |
| Bayesian Graph Contrastive Learning | Dec 15, 2021 | Contrastive LearningSelf-Supervised Learning | —Unverified | 0 |
| Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization | Dec 15, 2021 | scoring ruleUncertainty Quantification | CodeCode Available | 1 |
| A Complete Characterisation of ReLU-Invariant Distributions | Dec 13, 2021 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| Gamifying optimization: a Wasserstein distance-based analysis of human search | Dec 12, 2021 | Active LearningDecision Making | —Unverified | 0 |
| Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer | Dec 12, 2021 | Adversarial RobustnessUncertainty Quantification | —Unverified | 0 |
| On Convergence of Federated Averaging Langevin Dynamics | Dec 9, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Object Shape Error Response Using Bayesian 3-D Convolutional Neural Networks for Assembly Systems With Compliant Parts | Dec 8, 2021 | 3D Shape ModelingBenchmarking | CodeCode Available | 1 |
| Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting | Dec 5, 2021 | Deep LearningProbabilistic Deep Learning | CodeCode Available | 1 |
| Dimension-Free Average Treatment Effect Inference with Deep Neural Networks | Dec 2, 2021 | regressionUncertainty Quantification | —Unverified | 0 |
| Improving mathematical questioning in teacher training | Dec 2, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Improving accuracy and uncertainty quantification of deep learning based quantitative MRI using Monte Carlo dropout | Dec 2, 2021 | Quantitative MRIUncertainty Quantification | CodeCode Available | 0 |
| Evaluation of mathematical questioning strategies using data collected through weak supervision | Dec 2, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Linear-Time Probabilistic Solution of Boundary Value Problems | Dec 1, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence | Dec 1, 2021 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification | Nov 29, 2021 | BIG-bench Machine LearningUncertainty Quantification | —Unverified | 0 |
