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| Entity Abstraction in Visual Model-Based Reinforcement Learning | Oct 28, 2019 | modelModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
| Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming | Sep 30, 2018 | Probabilistic ProgrammingRepresentation Learning | CodeCode Available | 0 | 5 |
| End-to-End Pixel-Based Deep Active Inference for Body Perception and Action | Dec 28, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling | Oct 12, 2021 | modelVariational Inference | CodeCode Available | 0 | 5 |
| Content-based recommendations with Poisson factorization | Dec 1, 2014 | ArticlesRecommendation Systems | CodeCode Available | 0 | 5 |
| Context Selection for Embedding Models | Dec 1, 2017 | Recommendation SystemsVariational Inference | CodeCode Available | 0 | 5 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Bernstein Flows for Flexible Posteriors in Variational Bayes | Feb 11, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
