| Improving Variational Inference with Inverse Autoregressive Flow | Jun 15, 2016 | Variational Inference | CodeCode Available | 1 |
| Automatic Differentiation Variational Inference | Mar 2, 2016 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 1 |
| Variational Inference: A Review for Statisticians | Jan 4, 2016 | Stochastic OptimizationVariational Inference | CodeCode Available | 1 |
| Adversarial Autoencoders | Nov 18, 2015 | ClusteringData Visualization | CodeCode Available | 1 |
| Learning Stochastic Recurrent Networks | Nov 27, 2014 | Variational Inference | CodeCode Available | 1 |
| Auto-Encoding Variational Bayes | Dec 20, 2013 | Anomaly DetectionImage Clustering | CodeCode Available | 1 |
| Streaming Variational Bayes | Jul 25, 2013 | Variational Inference | CodeCode Available | 1 |
| Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection | Jul 15, 2025 | feature selectionUncertainty Quantification | CodeCode Available | 0 |
| Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference | Jun 26, 2025 | Bayesian InferenceUncertainty Quantification | CodeCode Available | 0 |
| VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction | Jun 23, 2025 | Computational EfficiencyDecoder | —Unverified | 0 |
