| Continual Learning via Sequential Function-Space Variational Inference | Dec 28, 2023 | Bayesian InferenceContinual Learning | CodeCode Available | 1 |
| BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders | Mar 6, 2020 | ClusteringDecoder | CodeCode Available | 1 |
| Differentially Private Variational Inference for Non-conjugate Models | Oct 27, 2016 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid | Dec 8, 2021 | Image InpaintingVariational Inference | CodeCode Available | 1 |
| Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | Dec 10, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 |
| BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning | Oct 5, 2020 | Variational Inference | CodeCode Available | 1 |
| Adversarial Autoencoders | Nov 18, 2015 | ClusteringData Visualization | CodeCode Available | 1 |
| Analog Bayesian neural networks are insensitive to the shape of the weight distribution | Jan 9, 2025 | Variational Inference | —Unverified | 0 |
| A Variational Perspective on Generative Flow Networks | Oct 14, 2022 | Variational Inference | —Unverified | 0 |
| Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics | Jan 1, 2020 | Variational Inference | —Unverified | 0 |
