| Stochastic Aggregation in Graph Neural Networks | Feb 25, 2021 | Variational Inference | CodeCode Available | 0 |
| Deep Stochastic Volatility Model | Feb 25, 2021 | modelVariational Inference | CodeCode Available | 1 |
| Community Detection in Weighted Multilayer Networks with Ambient Noise | Feb 24, 2021 | Community DetectionVariational Inference | CodeCode Available | 0 |
| Automatic Feature Extraction for Heartbeat Anomaly Detection | Feb 24, 2021 | Anomaly DetectionDecoder | CodeCode Available | 0 |
| Quantifying Variational Approximation for the Log-Partition Function | Feb 19, 2021 | Variational Inference | —Unverified | 0 |
| Structured Dropout Variational Inference for Bayesian Neural Networks | Feb 16, 2021 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Tractable structured natural gradient descent using local parameterizations | Feb 15, 2021 | Variational Inference | —Unverified | 0 |
| Differentiable Particle Filtering via Entropy-Regularized Optimal Transport | Feb 15, 2021 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Scalable Vector Gaussian Information Bottleneck | Feb 15, 2021 | Variational Inference | —Unverified | 0 |
| Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations | Feb 12, 2021 | Variational Inference | CodeCode Available | 1 |
