| Deep Active Inference | Oct 11, 2018 | Variational Inference | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction | Jan 21, 2022 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 | 5 |
| Preconditioned training of normalizing flows for variational inference in inverse problems | Jan 11, 2021 | compressed sensingVariational Inference | CodeCode Available | 1 | 5 |
| Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime Switching | Jun 4, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Constraining Variational Inference with Geometric Jensen-Shannon Divergence | Jun 18, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Provable concept learning for interpretable predictions using variational autoencoders | Apr 1, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Quadruply Stochastic Gaussian Processes | Jun 4, 2020 | Gaussian Processesregression | CodeCode Available | 1 | 5 |
| DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder | May 23, 2023 | ClusteringDeep Clustering | CodeCode Available | 1 | 5 |
