| Fast Instrument Learning with Faster Rates | May 22, 2022 | Model Selectionregression | CodeCode Available | 0 |
| The Unreasonable Effectiveness of Deep Evidential Regression | May 20, 2022 | regressionUncertainty Quantification | CodeCode Available | 1 |
| Uncertainty Quantification for Transport in Porous media using Parameterized Physics Informed neural Networks | May 19, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Achieving Risk Control in Online Learning Settings | May 18, 2022 | Conformal PredictionDepth Estimation | CodeCode Available | 0 |
| Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels | May 18, 2022 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Finite Element Method-enhanced Neural Network for Forward and Inverse Problems | May 17, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data | May 14, 2022 | Uncertainty Quantification | —Unverified | 0 |
| A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification | May 13, 2022 | GPRregression | —Unverified | 0 |
| Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems | May 12, 2022 | Bayesian InferenceModel Selection | —Unverified | 0 |
| Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning | May 12, 2022 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction with Uncertainty Estimation | May 11, 2022 | DecoderDeep Learning | —Unverified | 0 |
| De-biasing "bias" measurement | May 11, 2022 | Decision MakingFairness | CodeCode Available | 0 |
| Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification | May 11, 2022 | BIG-bench Machine LearningUncertainty Quantification | —Unverified | 0 |
| Large Scale Probabilistic Simulation of Renewables Production | May 10, 2022 | ClusteringUncertainty Quantification | —Unverified | 0 |
| A Unified Bayesian Framework for Pricing Catastrophe Bond Derivatives | May 9, 2022 | ClusteringUncertainty Quantification | —Unverified | 0 |
| Controlled Dropout for Uncertainty Estimation | May 6, 2022 | Uncertainty Quantification | —Unverified | 0 |
| Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham | May 5, 2022 | Deep LearningDiagnostic | CodeCode Available | 0 |
| A Deep Learning Approach to Dst Index Prediction | May 5, 2022 | Bayesian InferenceDeep Learning | —Unverified | 0 |
| DeeptDCS: Deep Learning-Based Estimation of Currents Induced During Transcranial Direct Current Stimulation | May 4, 2022 | Computational EfficiencyUncertainty Quantification | —Unverified | 0 |
| A Survey on Uncertainty Toolkits for Deep Learning | May 2, 2022 | Deep LearningSurvey | —Unverified | 0 |
| Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study) | May 2, 2022 | Active LearningUncertainty Quantification | CodeCode Available | 1 |
| ActPerFL: Active Personalized Federated Learning | May 1, 2022 | Federated LearningPersonalized Federated Learning | —Unverified | 0 |
| A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness | May 1, 2022 | Data AugmentationDeep Learning | —Unverified | 0 |
| Deep Ensemble as a Gaussian Process Approximate Posterior | Apr 30, 2022 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Tailored Uncertainty Estimation for Deep Learning Systems | Apr 29, 2022 | BIG-bench Machine LearningDeep Learning | —Unverified | 0 |
