| On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks | Dec 7, 2021 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 |
| DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework | Dec 2, 2021 | Variational Inference | —Unverified | 0 |
| A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning | Dec 1, 2021 | Active LearningInductive Bias | —Unverified | 0 |
| Probabilistic Tensor Decomposition of Neural Population Spiking Activity | Dec 1, 2021 | AnatomyTensor Decomposition | CodeCode Available | 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 |
| Joint Modeling of Visual Objects and Relations for Scene Graph Generation | Dec 1, 2021 | Graph EmbeddingGraph Generation | —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 |
