| InverseNet: Solving Inverse Problems with Splitting Networks. | 1 | 0.37 | 2017 |
| High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. | 5 | 0.47 | 2016 |
| Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. | 0 | 0.34 | 2016 |
| A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection. | 2 | 0.37 | 2016 |
| Fast Second Order Stochastic Backpropagation for Variational Inference | 10 | 0.56 | 2015 |
| Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data | 6 | 0.49 | 2015 |
