| Inference via low-dimensional couplings | Mar 17, 2017 | State Space Models | —Unverified | 0 |
| Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo | Mar 7, 2017 | State Space Models | —Unverified | 0 |
| Learning of state-space models with highly informative observations: a tempered Sequential Monte Carlo solution | Feb 6, 2017 | State Space Models | —Unverified | 0 |
| High-dimensional Filtering using Nested Sequential Monte Carlo | Dec 29, 2016 | State Space ModelsVocal Bursts Intensity Prediction | —Unverified | 0 |
| A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements | Dec 23, 2016 | State Space ModelsTime Series | —Unverified | 0 |
| Infinite Hidden Semi-Markov Modulated Interaction Point Process | Dec 1, 2016 | State Space Models | —Unverified | 0 |
| Gaussian Process Kernels for Popular State-Space Time Series Models | Oct 25, 2016 | Gaussian Processesregression | —Unverified | 0 |
| Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity | Oct 23, 2016 | Demand ForecastingModel Selection | —Unverified | 0 |
| Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution | Oct 20, 2016 | compressed sensingState Estimation | —Unverified | 0 |
| Structured Inference Networks for Nonlinear State Space Models | Sep 30, 2016 | Multivariate Time Series ForecastingState Space Models | CodeCode Available | 0 |
