| 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 |
| Effectively Modeling Time Series with Simple Discrete State Spaces | Mar 16, 2023 | State Space ModelsTime Series | CodeCode Available | 1 |
| Variational Gaussian filtering via Wasserstein gradient flows | Mar 11, 2023 | parameter estimationState Space Models | CodeCode Available | 0 |
| Resurrecting Recurrent Neural Networks for Long Sequences | Mar 11, 2023 | ClassificationComputational Efficiency | CodeCode Available | 1 |
| Structured State Space Models for In-Context Reinforcement Learning | Mar 7, 2023 | continuous-controlContinuous Control | CodeCode Available | 1 |
| 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 |
