| Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems | Jul 20, 2017 | Activity RecognitionState Space Models | —Unverified | 0 |
| Variational Sequential Monte Carlo | May 31, 2017 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Identification of Gaussian Process State Space Models | May 30, 2017 | State EstimationState Space Models | —Unverified | 0 |
| Stochastic Sequential Neural Networks with Structured Inference | May 24, 2017 | Medical DiagnosisSegmentation | —Unverified | 0 |
| Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach | May 23, 2017 | Decision MakingDeep Reinforcement Learning | —Unverified | 0 |
| 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 |
| Incremental Nonlinear System Identification and Adaptive Particle Filtering Using Gaussian Process | Aug 30, 2016 | State EstimationState Space Models | —Unverified | 0 |
| Among-site variability in the stochastic dynamics of East African coral reefs | Jun 27, 2016 | State Space ModelsTime Series | —Unverified | 0 |
| Standard State Space Models of Unawareness (Extended Abstract) | Jun 24, 2016 | State Space Models | —Unverified | 0 |
| A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting | May 31, 2016 | Bayesian Inferenceparameter estimation | —Unverified | 0 |
| Preemptive Investment under Uncertainty | May 31, 2016 | State Space Models | —Unverified | 0 |
| Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data | May 20, 2016 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Gaussian variational approximation with sparse precision matrices | May 18, 2016 | State Space ModelsTime Series | —Unverified | 0 |
| State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems | Mar 29, 2016 | State EstimationState Space Models | —Unverified | 0 |
| Learning to Filter with Predictive State Inference Machines | Dec 30, 2015 | State Space Models | —Unverified | 0 |
| Neuron's Eye View: Inferring Features of Complex Stimuli from Neural Responses | Dec 4, 2015 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
