| Acceleration of stochastic gradient descent with momentum by averaging: finite-sample rates and asymptotic normality | May 28, 2023 | Uncertainty Quantification | —Unverified | 0 |
| USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution | May 27, 2023 | Active LearningDepth Estimation | —Unverified | 0 |
| Bayesian Spike Train Inference via Non-Local Priors | May 27, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks | May 26, 2023 | Gaussian Processesregression | —Unverified | 0 |
| Better Batch for Deep Probabilistic Time Series Forecasting | May 26, 2023 | Decision MakingProbabilistic Time Series Forecasting | CodeCode Available | 0 |
| 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 |
