| Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes | Feb 2, 2024 | Gaussian ProcessesVariational Inference | CodeCode Available | 1 | 5 |
| Discovering Mixtures of Structural Causal Models from Time Series Data | Oct 10, 2023 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Deep Gaussian Process Emulation using Stochastic Imputation | Jul 4, 2021 | Gaussian ProcessesImputation | CodeCode Available | 1 | 5 |
| Auto-Encoding Variational Bayes | Dec 20, 2013 | Anomaly DetectionImage Clustering | CodeCode Available | 1 | 5 |
| Autoencoding Variational Inference For Topic Models | Mar 4, 2017 | Topic ModelsVariational Inference | CodeCode Available | 1 | 5 |
| Sparse Orthogonal Variational Inference for Gaussian Processes | Oct 23, 2019 | Gaussian ProcessesMulti-class Classification | 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 |
| EDGE: Explaining Deep Reinforcement Learning Policies | Dec 1, 2021 | Deep Reinforcement LearningMuJoCo | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| Generative Principal Component Regression via Variational Inference | Sep 3, 2024 | regressionVariational Inference | CodeCode Available | 1 | 5 |
