| 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 |
| Recurrent Neural Processes | Jun 13, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Disentangled State Space Representations | Jun 7, 2019 | regressionState Space Models | —Unverified | 0 |
| Streaming Variational Monte Carlo | Jun 4, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series | May 30, 2019 | State Space ModelsTime Series | —Unverified | 0 |
| Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models | May 26, 2019 | Bayesian InferenceCausal Discovery | —Unverified | 0 |
| Estimation of black bear abundance by management zone in Wisconsin | May 22, 2019 | ManagementState Space Models | —Unverified | 0 |
| A Gaussian process latent force model for joint input-state estimation in linear structural systems | Mar 29, 2019 | Gaussian ProcessesState Estimation | —Unverified | 0 |
| DISENTANGLED STATE SPACE MODELS: UNSUPERVISED LEARNING OF DYNAMICS ACROSS HETEROGENEOUS ENVIRONMENTS | Mar 27, 2019 | PredictionState Space Models | —Unverified | 0 |
| A tutorial on group effective connectivity analysis, part 2: second level analysis with PEB | Feb 27, 2019 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era | Feb 26, 2019 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| A dynamic factor model approach to incorporate Big Data in state space models for official statistics | Jan 31, 2019 | State Space Models | CodeCode Available | 0 |
| Stochastic Gradient MCMC for Nonlinear State Space Models | Jan 29, 2019 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction | Jan 23, 2019 | State Space ModelsTime Series | CodeCode Available | 0 |
| Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler | Jan 3, 2019 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| Closed-form Inference and Prediction in Gaussian Process State-Space Models | Dec 10, 2018 | FormState Space Models | —Unverified | 0 |
| Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation | Dec 1, 2018 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Explainable Genetic Inheritance Pattern Prediction | Dec 1, 2018 | Causal InferencePrediction | —Unverified | 0 |
| Deep State Space Models for Time Series Forecasting | Dec 1, 2018 | Deep LearningProbabilistic Time Series Forecasting | —Unverified | 0 |
| Black-Box Autoregressive Density Estimation for State-Space Models | Nov 20, 2018 | Bayesian InferenceDeep Learning | —Unverified | 0 |
