| On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks | Dec 7, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework | Dec 2, 2021 | Variational Inference | —Unverified | 0 |
| Scalable Bayesian GPFA with automatic relevance determination and discrete noise models | Dec 1, 2021 | Variational Inference | —Unverified | 0 |
| Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels | Dec 1, 2021 | Graph AttentionNode Classification | —Unverified | 0 |
| Continuous-time edge modelling using non-parametric point processes | Dec 1, 2021 | AttributeGaussian Processes | —Unverified | 0 |
| Variational Continual Bayesian Meta-Learning | Dec 1, 2021 | Meta-LearningTransfer Learning | —Unverified | 0 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Dec 1, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| A universal probabilistic spike count model reveals ongoing modulation of neural variability | Dec 1, 2021 | Gaussian ProcessesVariational Inference | —Unverified | 0 |
| Latent Matters: Learning Deep State-Space Models | Dec 1, 2021 | State Space ModelsVariational Inference | —Unverified | 0 |
| Collapsed Variational Bounds for Bayesian Neural Networks | Dec 1, 2021 | Variational Inference | CodeCode Available | 0 |
