| Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation | Sep 30, 2021 | BIG-bench Machine LearningOut-of-Distribution Detection | CodeCode Available | 0 |
| UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION | Sep 29, 2021 | Decoderimage-classification | —Unverified | 0 |
| MURO: Deployment Constrained Reinforcement Learning with Model-based Uncertainty Regularized Batch Optimization | Sep 29, 2021 | Recommendation Systemsreinforcement-learning | —Unverified | 0 |
| Distribution-Driven Disjoint Prediction Intervals for Deep Learning | Sep 29, 2021 | Deep LearningPrediction | —Unverified | 0 |
| Particle Based Stochastic Policy Optimization | Sep 29, 2021 | Deep Reinforcement LearningMuJoCo Games | —Unverified | 0 |
| Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? | Sep 29, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Function-Space Variational Inference for Deep Bayesian Classification | Sep 29, 2021 | Adversarial RobustnessClassification | —Unverified | 0 |
| Learning to Estimate Epistemic Uncertainty in Neural Networks | Sep 29, 2021 | regressionUncertainty Quantification | —Unverified | 0 |
| Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How | Sep 29, 2021 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Provably Calibrated Regression Under Distribution Drift | Sep 29, 2021 | Predictionregression | —Unverified | 0 |
| Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data | Sep 29, 2021 | feature selectionUncertainty Quantification | CodeCode Available | 0 |
| Grassmannian diffusion maps based surrogate modeling via geometric harmonics | Sep 28, 2021 | Uncertainty Quantification | —Unverified | 0 |
| DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs | Sep 28, 2021 | DiversityDynamic graph embedding | CodeCode Available | 0 |
| A neural multilevel method for high-dimensional parametric PDEs | Sep 27, 2021 | Uncertainty QuantificationVocal Bursts Intensity Prediction | —Unverified | 0 |
| Bayesian deep learning of affordances from RGB images | Sep 27, 2021 | Continual LearningDeep Learning | —Unverified | 0 |
| Uncertainty quantification in covid-19 spread: lockdown effects | Sep 25, 2021 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Bayesian non-parametric non-negative matrix factorization for pattern identification in environmental mixtures | Sep 24, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach | Sep 23, 2021 | ManagementPrediction | —Unverified | 0 |
| Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery | Sep 23, 2021 | PredictionUncertainty Quantification | —Unverified | 0 |
| A Physics inspired Functional Operator for Model Uncertainty Quantification in the RKHS | Sep 22, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification | Sep 21, 2021 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 2 |
| Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression | Sep 16, 2021 | regressionState Estimation | —Unverified | 0 |
| A Data-Driven Uncertainty Quantification Method for Stochastic Economic Dispatch | Sep 16, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Machine-Learned HASDM Model with Uncertainty Quantification | Sep 16, 2021 | Dimensionality Reductionmodel | —Unverified | 0 |
| Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net | Sep 15, 2021 | DecoderImage Segmentation | —Unverified | 0 |
