| A Causal Ordering Prior for Unsupervised Representation Learning | Jul 11, 2023 | Causal Discoverycounterfactual | —Unverified | 0 |
| Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference | Jul 10, 2023 | Variational Inference | —Unverified | 0 |
| Neural Causal Graph Collaborative Filtering | Jul 10, 2023 | Collaborative FilteringGraph Learning | CodeCode Available | 0 |
| Learning Space-Time Continuous Neural PDEs from Partially Observed States | Jul 9, 2023 | Variational Inference | CodeCode Available | 0 |
| Probabilistic Test-Time Generalization by Variational Neighbor-Labeling | Jul 8, 2023 | Domain GeneralizationVariational Inference | —Unverified | 0 |
| GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies | Jul 7, 2023 | Variational Inference | CodeCode Available | 0 |
| A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty | Jul 5, 2023 | modelVariational Inference | CodeCode Available | 0 |
| Personalized Federated Learning via Amortized Bayesian Meta-Learning | Jul 5, 2023 | Federated LearningMeta-Learning | —Unverified | 0 |
| Thompson sampling for improved exploration in GFlowNets | Jun 30, 2023 | Active LearningDecision Making | —Unverified | 0 |
| Latent SDEs on Homogeneous Spaces | Jun 28, 2023 | Bayesian InferenceVariational Inference | CodeCode Available | 0 |