| Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification | Apr 13, 2023 | Deep LearningState Space Models | CodeCode Available | 0 |
| Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach | Apr 4, 2023 | State Space Models | —Unverified | 0 |
| Learning Stable and Robust Linear Parameter-Varying State-Space Models | Apr 4, 2023 | State Space Models | —Unverified | 0 |
| Computationally efficient predictive control based on ANN state-space models | Mar 30, 2023 | Model Predictive ControlState Space Models | —Unverified | 0 |
| Maximum likelihood smoothing estimation in state-space models: An incomplete-information based approach | Mar 29, 2023 | State Space Models | —Unverified | 0 |
| Inverse Cubature and Quadrature Kalman filters | Mar 18, 2023 | Numerical IntegrationState Space Models | —Unverified | 0 |
| Variational Gaussian filtering via Wasserstein gradient flows | Mar 11, 2023 | parameter estimationState Space Models | CodeCode Available | 0 |
| Time series anomaly detection with reconstruction-based state-space models | Mar 6, 2023 | Anomaly DetectionDecoder | CodeCode Available | 0 |
| Fast Randomized Subspace System Identification for Large I/O Data | Mar 2, 2023 | State Space Modelssubspace methods | —Unverified | 0 |
| PlaNet-ClothPick: Effective Fabric Flattening Based on Latent Dynamic Planning | Mar 2, 2023 | State Space Models | —Unverified | 0 |
| Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems | Mar 1, 2023 | State Space Models | CodeCode Available | 0 |
| Differentiable Bootstrap Particle Filters for Regime-Switching Models | Feb 20, 2023 | State Space Models | —Unverified | 0 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 |
| High-Dimensional Conditionally Gaussian State Space Models with Missing Data | Feb 7, 2023 | State Space ModelsVocal Bursts Intensity Prediction | —Unverified | 0 |
| BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series | Jan 30, 2023 | Anomaly DetectionState Space Models | —Unverified | 0 |
| Sequential Estimation of Gaussian Process-based Deep State-Space Models | Jan 29, 2023 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| Towards Flexibility and Interpretability of Gaussian Process State-Space Model | Jan 21, 2023 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Towards AI-controlled FES-restoration of arm movements: Controlling for progressive muscular fatigue with Gaussian state-space models | Jan 10, 2023 | Reinforcement Learning (RL)State Space Models | —Unverified | 0 |
| Graph state-space models | Jan 4, 2023 | DecoderState Space Models | —Unverified | 0 |
| Tracking Brand-Associated Polarity-Bearing Topics in User Reviews | Jan 3, 2023 | Meta-LearningState Space Models | CodeCode Available | 0 |
| State and parameter learning with PaRIS particle Gibbs | Jan 2, 2023 | State Space Models | —Unverified | 0 |
| PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models | Dec 30, 2022 | EconometricsState Space Models | —Unverified | 0 |
| The Ordered Matrix Dirichlet for State-Space Models | Dec 8, 2022 | State Space Models | CodeCode Available | 0 |
| The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models | Nov 20, 2022 | Gaussian ProcessesState Space Models | —Unverified | 0 |
| Meta-Learning of Neural State-Space Models Using Data From Similar Systems | Nov 14, 2022 | Meta-LearningState Space Models | —Unverified | 0 |