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| Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function | Jul 21, 2019 | Variational Inference | —Unverified | 0 |
| Towards Verified Stochastic Variational Inference for Probabilistic Programs | Jul 20, 2019 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 0 |
| D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction | Jul 19, 2019 | Generative Adversarial NetworkPrediction | —Unverified | 0 |
| Subspace Inference for Bayesian Deep Learning | Jul 17, 2019 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| Structured Variational Inference in Unstable Gaussian Process State Space Models | Jul 16, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| The Dynamic Embedded Topic Model | Jul 12, 2019 | Articlesmodel | CodeCode Available | 0 |
| Interpretable Dynamics Models for Data-Efficient Reinforcement Learning | Jul 10, 2019 | Model-based Reinforcement Learningreinforcement-learning | —Unverified | 0 |
| Trust-Region Variational Inference with Gaussian Mixture Models | Jul 10, 2019 | Variational Inference | —Unverified | 0 |
