| Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems | Oct 2, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation | Oct 1, 2024 | EEGElectromyography (EMG) | CodeCode Available | 0 |
| Variational Source-Channel Coding for Semantic Communication | Sep 26, 2024 | Semantic CommunicationSSIM | —Unverified | 0 |
| Functional Stochastic Gradient MCMC for Bayesian Neural Networks | Sep 25, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge | Sep 23, 2024 | Anomaly DetectionVariational Inference | CodeCode Available | 0 |
| Amortized Variational Inference for Deep Gaussian Processes | Sep 18, 2024 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Latent mixed-effect models for high-dimensional longitudinal data | Sep 17, 2024 | Time SeriesVariational Inference | —Unverified | 0 |
| Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current Market Conditions | Sep 12, 2024 | Variational Inference | —Unverified | 0 |
| A Primer on Variational Inference for Physics-Informed Deep Generative Modelling | Sep 10, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Variational Search Distributions | Sep 10, 2024 | Variational Inference | CodeCode Available | 0 |
