| Partially factorized variational inference for high-dimensional mixed models | Dec 20, 2023 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| Online Variational Sequential Monte Carlo | Dec 19, 2023 | parameter estimationState Space Models | CodeCode Available | 0 |
| Robust Node Representation Learning via Graph Variational Diffusion Networks | Dec 18, 2023 | Representation LearningVariational Inference | —Unverified | 0 |
| Bayesian Model Selection via Mean-Field Variational Approximation | Dec 17, 2023 | modelModel Selection | —Unverified | 0 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 |
| Joint State Estimation and Noise Identification Based on Variational Optimization | Dec 15, 2023 | State EstimationVariational Inference | —Unverified | 0 |
| The Gaussian-Linear Hidden Markov model: a Python package | Dec 12, 2023 | Variational Inference | CodeCode Available | 0 |
| WISE: full-Waveform variational Inference via Subsurface Extensions | Dec 11, 2023 | Variational Inference | —Unverified | 0 |
| Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference | Dec 10, 2023 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Sparse Variational Student-t Processes | Dec 9, 2023 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
