| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
| Improving inference for nonlinear state-space models of animal population dynamics given biased sequential life stage data | Sep 19, 2019 | State Space Models | —Unverified | 0 |
| Stochastic quasi-Newton with line-search regularization | Sep 3, 2019 | State Space Models | —Unverified | 0 |
| Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs | Aug 26, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction | Aug 11, 2019 | Motion EstimationSensor Fusion | —Unverified | 0 |
| Introducing shrinkage in heavy-tailed state space models to predict equity excess returns | Jul 26, 2019 | State Space Models | —Unverified | 0 |
| Structured Variational Inference in Unstable Gaussian Process State Space Models | Jul 16, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Dynamical Systems as Temporal Feature Spaces | Jul 15, 2019 | State Space ModelsTime Series | —Unverified | 0 |
| The Use of Gaussian Processes in System Identification | Jul 13, 2019 | FormGaussian Processes | —Unverified | 0 |
| Coupling techniques for nonlinear ensemble filtering | Jun 30, 2019 | State Space Models | —Unverified | 0 |
