| not-MIWAE: Deep Generative Modelling with Missing not at Random Data | Jun 23, 2020 | Missing ValuesVariational Inference | CodeCode Available | 1 |
| On the Robustness of Bayesian Neural Networks to Adversarial Attacks | Jul 13, 2022 | Variational Inference | CodeCode Available | 1 |
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| Partially factorized variational inference for high-dimensional mixed models | Dec 20, 2023 | Uncertainty QuantificationVariational Inference | CodeCode Available | 1 |
| Path-Specific Counterfactual Fairness for Recommender Systems | Jun 5, 2023 | Blockingcounterfactual | CodeCode Available | 1 |
| A theory of continuous generative flow networks | Jan 30, 2023 | Variational Inference | CodeCode Available | 1 |
| Variational multiple shooting for Bayesian ODEs with Gaussian processes | Jun 21, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
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| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| Preference Diffusion for Recommendation | Oct 17, 2024 | Recommendation SystemsSequential Recommendation | CodeCode Available | 1 |
| Probabilistic Recurrent State-Space Models | Jan 31, 2018 | Gaussian ProcessesState Space Models | CodeCode Available | 1 |
| Probabilistic selection of inducing points in sparse Gaussian processes | Oct 19, 2020 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 |
| Provable concept learning for interpretable predictions using variational autoencoders | Apr 1, 2022 | Variational Inference | CodeCode Available | 1 |
| P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening | Aug 9, 2021 | Anomaly DetectionVariational Inference | CodeCode Available | 1 |
| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces | May 17, 2019 | Image ImputationImputation | CodeCode Available | 1 |
| Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review | May 2, 2018 | Decision Makingreinforcement-learning | CodeCode Available | 1 |
| Rigid Body Flows for Sampling Molecular Crystal Structures | Jan 26, 2023 | Variational Inference | CodeCode Available | 1 |
| A Framework for Improving the Reliability of Black-box Variational Inference | Mar 29, 2022 | Bayesian InferenceStochastic Optimization | CodeCode Available | 1 |
| Convergence of Sparse Variational Inference in Gaussian Processes Regression | Aug 1, 2020 | Gaussian Processesregression | CodeCode Available | 1 |
| Robust Variational Contrastive Learning for Partially View-unaligned Clustering | Oct 28, 2024 | ClusteringContrastive Learning | CodeCode Available | 1 |
| Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network | Jun 30, 2021 | Topic ModelsVariational Inference | CodeCode Available | 1 |
| Scalable Bayesian Inference for Detection and Deblending in Astronomical Images | Jul 12, 2022 | Bayesian InferenceGPU | CodeCode Available | 1 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 |
| Auto-Encoding Variational Bayes | Dec 20, 2013 | Anomaly DetectionImage Clustering | CodeCode Available | 1 |
| Dynamical Variational Autoencoders: A Comprehensive Review | Aug 28, 2020 | 3D Human DynamicsResynthesis | CodeCode Available | 1 |
