| Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models | Jun 30, 2024 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| Time Series Clustering with General State Space Models via Stochastic Variational Inference | Jun 29, 2024 | Clusteringparameter estimation | CodeCode Available | 0 |
| Amplify Graph Learning for Recommendation via Sparsity Completion | Jun 27, 2024 | Collaborative FilteringGraph Learning | —Unverified | 0 |
| Torchtree: flexible phylogenetic model development and inference using PyTorch | Jun 26, 2024 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Learning Optimal Filters Using Variational Inference | Jun 26, 2024 | Variational Inference | —Unverified | 0 |
| Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inference | Jun 25, 2024 | Variational Inference | —Unverified | 0 |
| Tree-based variational inference for Poisson log-normal models | Jun 25, 2024 | Knowledge GraphsVariational Inference | CodeCode Available | 0 |
| What type of inference is planning? | Jun 25, 2024 | Variational Inference | CodeCode Available | 0 |
| CausalMMM: Learning Causal Structure for Marketing Mix Modeling | Jun 24, 2024 | MarketingVariational Inference | —Unverified | 0 |
| VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data | Jun 23, 2024 | ClusteringVariable Selection | CodeCode Available | 0 |
