| Counterfactual Generative Modeling with Variational Causal Inference | Oct 16, 2024 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Scalable Deep Gaussian Markov Random Fields for General Graphs | Jun 10, 2022 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Second-Order Semantic Dependency Parsing with End-to-End Neural Networks | Jun 19, 2019 | Dependency ParsingSemantic Dependency Parsing | CodeCode Available | 1 |
| Auto-Encoding Variational Bayes | Dec 20, 2013 | Anomaly DetectionImage Clustering | CodeCode Available | 1 |
| Autoencoding Variational Inference For Topic Models | Mar 4, 2017 | Topic ModelsVariational Inference | CodeCode Available | 1 |
| Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Latent Chord Labels and Features | May 14, 2020 | General ClassificationVariational Inference | CodeCode Available | 1 |
| Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | Oct 8, 2024 | Computational EfficiencyIrregular Time Series | CodeCode Available | 1 |
| SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations | Nov 21, 2020 | 4kSemi-Supervised Image Classification | CodeCode Available | 1 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 |
| Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior | Sep 5, 2023 | Variational Inference | CodeCode Available | 1 |
