| The Transitive Information Theory and its Application to Deep Generative Models | Mar 9, 2022 | Inductive BiasVariational Inference | —Unverified | 0 |
| Variational Inference with Locally Enhanced Bounds for Hierarchical Models | Mar 8, 2022 | Variational Inference | —Unverified | 0 |
| Variational methods for simulation-based inference | Mar 8, 2022 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |
| Recursive Monte Carlo and Variational Inference with Auxiliary Variables | Mar 5, 2022 | AstronomyStochastic Optimization | CodeCode Available | 0 |
| Differentiable Causal Discovery Under Latent Interventions | Mar 4, 2022 | Causal DiscoveryVariational Inference | CodeCode Available | 1 |
| Learning Neural Set Functions Under the Optimal Subset Oracle | Mar 3, 2022 | Anomaly DetectionDrug Discovery | CodeCode Available | 1 |
| Learning Conditional Variational Autoencoders with Missing Covariates | Mar 2, 2022 | Missing ValuesVariational Inference | —Unverified | 0 |
| VaiPhy: a Variational Inference Based Algorithm for Phylogeny | Mar 1, 2022 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Bayesian Structure Learning with Generative Flow Networks | Feb 28, 2022 | Variational Inference | CodeCode Available | 1 |
| Differential equation and probability inspired graph neural networks for latent variable learning | Feb 28, 2022 | Stock Predictiontext-classification | CodeCode Available | 0 |