| Variational Determinant Estimation with Spherical Normalizing Flows | Dec 24, 2020 | Density EstimationVariational Inference | —Unverified | 0 |
| Probabilistic electric load forecasting through Bayesian Mixture Density Networks | Dec 23, 2020 | Load ForecastingManagement | —Unverified | 0 |
| Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization | Dec 21, 2020 | Generative Adversarial NetworkVariational Inference | —Unverified | 0 |
| Bayesian Crowdsourcing with Constraints | Dec 20, 2020 | Variational Inference | —Unverified | 0 |
| EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders | Dec 18, 2020 | Variational Inference | —Unverified | 0 |
| Bayesian Learning for Deep Neural Network Adaptation | Dec 14, 2020 | speech-recognitionSpeech Recognition | CodeCode Available | 0 |
| Improving model calibration with accuracy versus uncertainty optimization | Dec 14, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| Bayesian Neural Ordinary Differential Equations | Dec 14, 2020 | Bayesian InferenceBIG-bench Machine Learning | —Unverified | 0 |
| Variational System Identification for Nonlinear State-Space Models | Dec 8, 2020 | parameter estimationState Space Models | —Unverified | 0 |
| Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization | Dec 8, 2020 | Density EstimationVariational Inference | CodeCode Available | 0 |
