| Deep Conditional Gaussian Mixture Model for Constrained Clustering | Jun 11, 2021 | ClusteringConstrained Clustering | CodeCode Available | 1 | 5 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 | 5 |
| Streaming Variational Bayes | Jul 25, 2013 | Variational Inference | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| Joint Prompt Optimization of Stacked LLMs using Variational Inference | Jun 21, 2023 | Natural Language UnderstandingVariational Inference | CodeCode Available | 1 | 5 |
| Automatic Differentiation Variational Inference | Mar 2, 2016 | Probabilistic ProgrammingVariational Inference | CodeCode Available | 1 | 5 |
| Topic Modeling in Embedding Spaces | Jul 8, 2019 | Topic ModelsVariational Inference | CodeCode Available | 1 | 5 |
| Topic Modeling Revisited: A Document Graph-based Neural Network Perspective | Dec 1, 2021 | Variational 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 |
| Deep Stochastic Volatility Model | Feb 25, 2021 | modelVariational Inference | CodeCode Available | 1 | 5 |
| Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs | Dec 16, 2023 | Time SeriesVariational Inference | CodeCode Available | 1 | 5 |
| Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment | Oct 24, 2022 | Sequential RecommendationVariational 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 |
| Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime Switching | Jun 4, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| DiBS: Differentiable Bayesian Structure Learning | May 25, 2021 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Transport meets Variational Inference: Controlled Monte Carlo Diffusions | Jul 3, 2023 | Variational Inference | CodeCode Available | 1 | 5 |
| Density Deconvolution with Normalizing Flows | Jun 16, 2020 | Density EstimationVariational Inference | CodeCode Available | 1 | 5 |
| Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination | Oct 17, 2020 | Model CompressionTensor Decomposition | CodeCode Available | 1 | 5 |
| Unsupervised Data Imputation via Variational Inference of Deep Subspaces | Mar 8, 2019 | ImputationVariational Inference | CodeCode Available | 1 | 5 |
| Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks | Aug 15, 2024 | Image RestorationVariational Inference | CodeCode Available | 1 | 5 |
| Graph Stochastic Neural Networks for Semi-supervised Learning | Dec 1, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Variational Bayes Gaussian Splatting | Oct 4, 2024 | Continual LearningVariational Inference | CodeCode Available | 1 | 5 |
| Differentiable Causal Discovery Under Latent Interventions | Mar 4, 2022 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| Variational Graph Recurrent Neural Networks | Aug 26, 2019 | AttributeDynamic Link Prediction | CodeCode Available | 1 | 5 |
