| Sliced Score Matching: A Scalable Approach to Density and Score Estimation | May 17, 2019 | Variational Inference | CodeCode Available | 1 |
| Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling | Jun 11, 2024 | Decision MakingVariational Inference | CodeCode Available | 1 |
| Spherical Sliced-Wasserstein | Jun 17, 2022 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 |
| State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes | Jul 12, 2020 | Bayesian InferenceComputational Efficiency | CodeCode Available | 1 |
| Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation | Aug 8, 2022 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 |
| Automatic Differentiation Variational Inference | Mar 2, 2016 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 1 |
| Streaming Variational Bayes | Jul 25, 2013 | Variational Inference | CodeCode Available | 1 |
| Structured Output Learning with Conditional Generative Flows | May 30, 2019 | PredictionStructured Prediction | CodeCode Available | 1 |
| A Differentiable Point Process with Its Application to Spiking Neural Networks | Jun 2, 2021 | Variational Inference | CodeCode Available | 1 |
| Deep Causal Reasoning for Recommendations | Jan 6, 2022 | Recommendation SystemsVariational Inference | CodeCode Available | 1 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 |
| Topic Modeling Revisited: A Document Graph-based Neural Network Perspective | Dec 1, 2021 | Variational Inference | CodeCode Available | 1 |
| A Discrete Variational Recurrent Topic Model without the Reparametrization Trick | Oct 22, 2020 | document understandingVariational Inference | CodeCode Available | 1 |
| Bayesian Structure Learning with Generative Flow Networks | Feb 28, 2022 | Variational Inference | CodeCode Available | 1 |
| Training-Free Bayesianization for Low-Rank Adapters of Large Language Models | Dec 7, 2024 | Variational Inference | CodeCode Available | 1 |
| Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial | Aug 16, 2022 | Variational Inference | CodeCode Available | 1 |
| Bayesian sparsification for deep neural networks with Bayesian model reduction | Sep 21, 2023 | Deep LearningVariational Inference | CodeCode Available | 1 |
| Treatment effect estimation with disentangled latent factors | Jan 29, 2020 | Variational Inference | CodeCode Available | 1 |
| EDGE: Explaining Deep Reinforcement Learning Policies | Dec 1, 2021 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 1 |
| Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions | Aug 13, 2020 | Numerical IntegrationVariational Inference | CodeCode Available | 1 |
| Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees | Nov 2, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 1 |
| User-Dependent Neural Sequence Models for Continuous-Time Event Data | Nov 6, 2020 | Variational Inference | CodeCode Available | 1 |
| mmFall: Fall Detection using 4D MmWave Radar and a Hybrid Variational RNN AutoEncoder | Mar 5, 2020 | Variational Inference | CodeCode Available | 1 |
| Variational Graph Recurrent Neural Networks | Aug 26, 2019 | AttributeDynamic Link Prediction | CodeCode Available | 1 |
