| End-to-End Pixel-Based Deep Active Inference for Body Perception and Action | Dec 28, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models | Jun 28, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding | Feb 23, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 0 | 5 |
| Convolutional Normalizing Flows | Nov 7, 2017 | Variational Inference | CodeCode Available | 0 | 5 |
| Auxiliary Variational MCMC | May 1, 2019 | regressionVariational Inference | CodeCode Available | 0 | 5 |
| Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients | Jun 13, 2022 | Variational Inference | CodeCode Available | 0 | 5 |
| Copula-like Variational Inference | Apr 15, 2019 | Variational Inference | CodeCode Available | 0 | 5 |
| MetaKernel: Learning Variational Random Features with Limited Labels | May 8, 2021 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 | 5 |
| Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation | Jun 5, 2021 | DiversityMeta-Learning | CodeCode Available | 0 | 5 |
| Estimating Buildings' Parameters over Time Including Prior Knowledge | Jan 9, 2019 | Causal Inferenceparameter estimation | CodeCode Available | 0 | 5 |
