| Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift | Jun 17, 2022 | Bayesian InferenceHandwriting Recognition | —Unverified | 0 |
| Federated Data Analytics: A Study on Linear Models | Jun 15, 2022 | Uncertainty QuantificationVariable Selection | —Unverified | 0 |
| Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading | Jun 15, 2022 | Deep LearningPrediction | —Unverified | 0 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Epistemic Deep Learning | Jun 15, 2022 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Conformal Off-policy Prediction | Jun 14, 2022 | Conformal PredictionOff-policy evaluation | CodeCode Available | 0 |
| Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks | Jun 12, 2022 | regressionUncertainty Quantification | —Unverified | 0 |
| Evaluating Aleatoric Uncertainty via Conditional Generative Models | Jun 9, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Benchmarking Bayesian neural networks and evaluation metrics for regression tasks | Jun 8, 2022 | BenchmarkingOpen-Ended Question Answering | —Unverified | 0 |
| FedPop: A Bayesian Approach for Personalised Federated Learning | Jun 7, 2022 | Federated LearningUncertainty Quantification | —Unverified | 0 |
| A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees | Jun 6, 2022 | Bayesian InferenceModel Predictive Control | —Unverified | 0 |
| Robust Calibration with Multi-domain Temperature Scaling | Jun 6, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Masked Bayesian Neural Networks : Computation and Optimality | Jun 2, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Dynamic Linear Transformer for 3D Biomedical Image Segmentation | Jun 1, 2022 | 3D Medical Imaging SegmentationDecoder | CodeCode Available | 0 |
| Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics | May 31, 2022 | Generative Adversarial NetworkUncertainty Quantification | CodeCode Available | 0 |
| FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation | May 31, 2022 | Deep LearningMulti-Task Learning | CodeCode Available | 1 |
| Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems | May 31, 2022 | PredictionUncertainty Quantification | CodeCode Available | 1 |
| Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization | May 31, 2022 | scoring ruleUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification for Fairness in Two-Stage Recommender Systems | May 30, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning | May 30, 2022 | Neural Architecture SearchSurvey | —Unverified | 0 |
| Towards Instance-Wise Calibration: Local Amortized Diagnostics and Reshaping of Conditional Densities (LADaR) | May 29, 2022 | Conformal PredictionDensity Estimation | CodeCode Available | 0 |
| Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model | May 28, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging | May 27, 2022 | Multi-Task Learningregression | —Unverified | 0 |
| Deep interpretable ensembles | May 25, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Robust Flow-based Conformal Inference (FCI) with Statistical Guarantee | May 22, 2022 | Conformal PredictionOutlier Detection | —Unverified | 0 |
