| Auto-Encoding Variational Bayes | Dec 20, 2013 | Anomaly DetectionImage Clustering | CodeCode Available | 1 | 5 |
| Discovering Mixtures of Structural Causal Models from Time Series Data | Oct 10, 2023 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Autoencoding Variational Inference For Topic Models | Mar 4, 2017 | Topic ModelsVariational Inference | CodeCode Available | 1 | 5 |
| A Deep Variational Approach to Clustering Survival Data | Jun 10, 2021 | ClusteringDeep Clustering | CodeCode Available | 1 | 5 |
| BaCaDI: Bayesian Causal Discovery with Unknown Interventions | Jun 3, 2022 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm | Aug 11, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Automatic Differentiation Variational Inference | Mar 2, 2016 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 1 | 5 |
| A Differentiable Point Process with Its Application to Spiking Neural Networks | Jun 2, 2021 | Variational Inference | CodeCode Available | 1 | 5 |
| A Discrete Variational Recurrent Topic Model without the Reparametrization Trick | Oct 22, 2020 | document understandingVariational Inference | CodeCode Available | 1 | 5 |
| Efficient Probabilistic Logic Reasoning with Graph Neural Networks | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients | Apr 27, 2020 | Few-Shot Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification | Dec 4, 2020 | Bayesian InferenceDecision Making Under Uncertainty | CodeCode Available | 1 | 5 |
| ContraBAR: Contrastive Bayes-Adaptive Deep RL | Jun 4, 2023 | Contrastive LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| ClimAlign: Unsupervised statistical downscaling of climate variables via normalizing flows | Aug 11, 2020 | Variational Inference | CodeCode Available | 1 | 5 |
| Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation | Aug 1, 2024 | Graph Representation LearningRepresentation Learning | CodeCode Available | 1 | 5 |
| Can Transformers Learn Full Bayesian Inference in Context? | Jan 28, 2025 | Bayesian InferenceIn-Context Learning | CodeCode Available | 1 | 5 |
| Convergence of Sparse Variational Inference in Gaussian Processes Regression | Aug 1, 2020 | Gaussian Processesregression | CodeCode Available | 1 | 5 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Beyond Opinion Mining: Summarizing Opinions of Customer Reviews | Jun 3, 2022 | Opinion MiningOpinion Summarization | CodeCode Available | 1 | 5 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 | 5 |
| Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech | Jan 1, 2021 | text-to-speechText to Speech | CodeCode Available | 1 | 5 |
| Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation | Aug 8, 2022 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 | 5 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 | 5 |
| Bayesian sparsification for deep neural networks with Bayesian model reduction | Sep 21, 2023 | Deep LearningVariational Inference | CodeCode Available | 1 | 5 |
| An Energy-Based Prior for Generative Saliency | Apr 19, 2022 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 | 5 |
| Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching | Dec 27, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling | Jun 11, 2024 | Decision MakingVariational Inference | 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 |
| Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders | Apr 25, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Categorical Normalizing Flows via Continuous Transformations | Jun 17, 2020 | DecoderInductive Bias | CodeCode Available | 1 | 5 |
| Cauchy-Schwarz Divergence Information Bottleneck for Regression | Apr 27, 2024 | Adversarial RobustnessInformation Plane | CodeCode Available | 1 | 5 |
| Conditional Matrix Flows for Gaussian Graphical Models | Jun 12, 2023 | Model SelectionVariational Inference | CodeCode Available | 1 | 5 |
| Confidence-aware Personalized Federated Learning via Variational Expectation Maximization | May 21, 2023 | Federated LearningPersonalized Federated Learning | CodeCode Available | 1 | 5 |
| Continual Learning via Sequential Function-Space Variational Inference | Dec 28, 2023 | Bayesian InferenceContinual Learning | CodeCode Available | 1 | 5 |
| Continual Repeated Annealed Flow Transport Monte Carlo | Jan 31, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Understanding and Accelerating Particle-Based Variational Inference | Jul 4, 2018 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| Counterfactual Generative Modeling with Variational Causal Inference | Oct 16, 2024 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| A practical tutorial on Variational Bayes | Mar 1, 2021 | Bayesian InferenceVariational Inference | CodeCode Available | 1 | 5 |
| D3p -- A Python Package for Differentially-Private Probabilistic Programming | Mar 22, 2021 | Bayesian InferenceProbabilistic Programming | CodeCode Available | 1 | 5 |
| A Probabilistic Framework for Visual Localization in Ambiguous Scenes | Jan 5, 2023 | Variational InferenceVisual Localization | CodeCode Available | 1 | 5 |
| A Probabilistic Formulation of Unsupervised Text Style Transfer | Feb 10, 2020 | DeciphermentLanguage Modelling | CodeCode Available | 1 | 5 |
| Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional | Jan 31, 2021 | Variational Inference | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| A Batch Normalized Inference Network Keeps the KL Vanishing Away | Apr 27, 2020 | Dialogue GenerationLanguage Modeling | CodeCode Available | 1 | 5 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 | 5 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| DiBS: Differentiable Bayesian Structure Learning | May 25, 2021 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Bayesian Structure Learning with Generative Flow Networks | Feb 28, 2022 | Variational Inference | CodeCode Available | 1 | 5 |
| Bit Allocation using Optimization | Sep 20, 2022 | Variational InferenceVideo Compression | CodeCode Available | 1 | 5 |
