| Structure-Sensitive Graph Dictionary Embedding for Graph Classification | Jun 18, 2023 | ClassificationGraph Classification | —Unverified | 0 |
| Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation | Jun 17, 2023 | blind source separationVariational Inference | —Unverified | 0 |
| A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning | Jun 16, 2023 | Bayesian InferenceMeta-Learning | CodeCode Available | 0 |
| Structured Cooperative Learning with Graphical Model Priors | Jun 16, 2023 | modelStochastic Block Model | CodeCode Available | 0 |
| A Heavy-Tailed Algebra for Probabilistic Programming | Jun 15, 2023 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems | Jun 14, 2023 | State EstimationState Space Models | —Unverified | 0 |
| Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language | Jun 13, 2023 | Variational Inference | —Unverified | 0 |
| Variational Positive-incentive Noise: How Noise Benefits Models | Jun 13, 2023 | Variational Inference | CodeCode Available | 0 |
| Conditional Matrix Flows for Gaussian Graphical Models | Jun 12, 2023 | Model SelectionVariational Inference | CodeCode Available | 1 |
| Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma | Jun 11, 2023 | CPUVariational Inference | —Unverified | 0 |
