| Manifold GPLVMs for discovering non-Euclidean latent structure in neural data | Jun 12, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional | Jan 31, 2021 | Variational Inference | CodeCode Available | 1 | 5 |
| Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization | Dec 10, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 | 5 |
| A Probabilistic Formulation of Unsupervised Text Style Transfer | Feb 10, 2020 | DeciphermentLanguage Modelling | CodeCode Available | 1 | 5 |
| Counterfactual Generative Modeling with Variational Causal Inference | Oct 16, 2024 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| Continual Learning via Sequential Function-Space Variational Inference | Dec 28, 2023 | Bayesian InferenceContinual Learning | CodeCode Available | 1 | 5 |
| Adversarial Autoencoders | Nov 18, 2015 | ClusteringData Visualization | CodeCode Available | 1 | 5 |
| Continual Repeated Annealed Flow Transport Monte Carlo | Jan 31, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| A practical tutorial on Variational Bayes | Mar 1, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| An Energy-Based Prior for Generative Saliency | Apr 19, 2022 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| Convergence of Sparse Variational Inference in Gaussian Processes Regression | Aug 1, 2020 | Gaussian Processesregression | CodeCode Available | 1 | 5 |
| An information field theory approach to Bayesian state and parameter estimation in dynamical systems | Jun 3, 2023 | parameter estimationState Estimation | CodeCode Available | 1 | 5 |
| Confidence-aware Personalized Federated Learning via Variational Expectation Maximization | May 21, 2023 | Federated LearningPersonalized Federated Learning | CodeCode Available | 1 | 5 |
| A Probabilistic Framework for Visual Localization in Ambiguous Scenes | Jan 5, 2023 | Variational InferenceVisual Localization | CodeCode Available | 1 | 5 |
| Deep Active Inference | Oct 11, 2018 | Variational Inference | CodeCode Available | 1 | 5 |
| Deep Causal Reasoning for Recommendations | Jan 6, 2022 | Recommendation SystemsVariational Inference | CodeCode Available | 1 | 5 |
| Understanding and Accelerating Particle-Based Variational Inference | Jul 4, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Autoencoding Variational Inference For Topic Models | Mar 4, 2017 | Topic ModelsVariational Inference | CodeCode Available | 1 | 5 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Deep Structural Causal Models for Tractable Counterfactual Inference | Jun 11, 2020 | counterfactualCounterfactual Inference | CodeCode Available | 1 | 5 |
| Auto-Encoding Variational Bayes | Dec 20, 2013 | Anomaly DetectionImage Clustering | CodeCode Available | 1 | 5 |
| Conditional Matrix Flows for Gaussian Graphical Models | Jun 12, 2023 | Model SelectionVariational Inference | CodeCode Available | 1 | 5 |
| DiBS: Differentiable Bayesian Structure Learning | May 25, 2021 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Constraining Variational Inference with Geometric Jensen-Shannon Divergence | Jun 18, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
