| Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra | May 25, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Bi-fidelity Variational Auto-encoder for Uncertainty Quantification | May 25, 2023 | Computational EfficiencyDecoder | CodeCode Available | 0 |
| Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference | May 24, 2023 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning | May 24, 2023 | Traffic Sign RecognitionUncertainty Quantification | —Unverified | 0 |
| Probabilistic Exponential Integrators | May 24, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods | May 24, 2023 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| UPNet: Uncertainty-based Picking Deep Learning Network for Robust First Break Picking | May 23, 2023 | Decision MakingUncertainty Quantification | —Unverified | 0 |
| Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics | May 23, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems | May 22, 2023 | DeblurringImage Deblurring | —Unverified | 0 |
| Uncertainty and Structure in Neural Ordinary Differential Equations | May 22, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance | May 18, 2023 | Gaussian ProcessesUncertainty Quantification | CodeCode Available | 0 |
| Uncertainty Quantification in Deep Neural Networks through Statistical Inference on Latent Space | May 18, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Synthetic data, real errors: how (not) to publish and use synthetic data | May 16, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior | May 15, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification | May 15, 2023 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Online machine-learning forecast uncertainty estimation for sequential data assimilation | May 12, 2023 | Uncertainty Quantification | —Unverified | 0 |
| ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks | May 10, 2023 | Deep LearningGraph Attention | —Unverified | 0 |
| Fully Bayesian VIB-DeepSSM | May 9, 2023 | AnatomyUncertainty Quantification | CodeCode Available | 0 |
| On the Limitations of Model Stealing with Uncertainty Quantification Models | May 9, 2023 | DiversityUncertainty Quantification | —Unverified | 0 |
| Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods | May 8, 2023 | parameter estimationUncertainty Quantification | CodeCode Available | 0 |
| Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics | May 7, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification | May 4, 2023 | SegmentationSelf-Supervised Learning | —Unverified | 0 |
| Correcting for Interference in Experiments: A Case Study at Douyin | May 4, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles | May 2, 2023 | Active LearningDomain Generalization | CodeCode Available | 0 |
| Proper Scoring Rules for Survival Analysis | May 1, 2023 | Survival AnalysisUncertainty Quantification | CodeCode Available | 0 |
