| Locally Differentially Private Bayesian Inference | Oct 27, 2021 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification | Oct 26, 2021 | ClassificationNode Classification | CodeCode Available | 1 |
| Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 |
| A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 |
| AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification | Oct 26, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo | Oct 25, 2021 | Image RegistrationUncertainty Quantification | CodeCode Available | 0 |
| Quantifying Epistemic Uncertainty in Deep Learning | Oct 23, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise | Oct 22, 2021 | Low-Rank Matrix CompletionMatrix Completion | —Unverified | 0 |
| Probabilistic ODE Solutions in Millions of Dimensions | Oct 22, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Merging Two Cultures: Deep and Statistical Learning | Oct 22, 2021 | Dimensionality ReductionFeature Engineering | —Unverified | 0 |
| Conditional Variational Autoencoder for Learned Image Reconstruction | Oct 22, 2021 | Image ReconstructionUncertainty Quantification | —Unverified | 0 |
| Statistical Finite Elements via Langevin Dynamics | Oct 21, 2021 | Uncertainty Quantification | CodeCode Available | 0 |
| Centroid Approximation for Bootstrap: Improving Particle Quality at Inference | Oct 17, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Extracting Dynamical Models from Data | Oct 13, 2021 | Numerical IntegrationUncertainty Quantification | —Unverified | 0 |
| Calibrate your listeners! Robust communication-based training for pragmatic speakers | Oct 11, 2021 | Uncertainty Quantification | CodeCode Available | 0 |
| Is MC Dropout Bayesian? | Oct 8, 2021 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Uncertainty Quantification in LV State Estimation Under High Shares of Flexible Resources | Oct 8, 2021 | Decision Makingquantile regression | —Unverified | 0 |
| Uncertainty quantification in the Bradley-Terry-Luce model | Oct 8, 2021 | modelUncertainty Quantification | —Unverified | 0 |
| An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions | Oct 7, 2021 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement | Oct 7, 2021 | Image EnhancementImage-to-Image Translation | —Unverified | 0 |
| Robustness and Reliability When Training With Noisy Labels | Oct 7, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Residual Overfit Method of Exploration | Oct 6, 2021 | Uncertainty Quantification | —Unverified | 0 |
| Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization | Oct 5, 2021 | Model OptimizationOut-of-Distribution Detection | —Unverified | 0 |
| Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs | Oct 3, 2021 | Causal Inferenceregression | —Unverified | 0 |
| Lagrangian Inference for Ranking Problems | Oct 1, 2021 | Uncertainty Quantification | —Unverified | 0 |
