| Nonparametric risk bounds for time-series forecasting | Dec 3, 2012 | State Space ModelsTime Series | —Unverified | 0 | 0 |
| Direct identification of continuous-time linear switched state-space models | Oct 4, 2022 | State Space Models | —Unverified | 0 | 0 |
| Normalizing Kalman Filters for Multivariate Time Series Analysis | Dec 1, 2020 | Deep LearningState Space Models | —Unverified | 0 | 0 |
| Differentiable Particle Filtering using Optimal Placement Resampling | Feb 26, 2024 | parameter estimationState Space Models | —Unverified | 0 | 0 |
| Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models | Dec 11, 2024 | State Space Models | —Unverified | 0 | 0 |
| Numerical Investigation of Sequence Modeling Theory using Controllable Memory Functions | Jun 6, 2025 | BenchmarkingState Space Models | —Unverified | 0 | 0 |
| Observability conditions for neural state-space models with eigenvalues and their roots of unity | Apr 22, 2025 | Computational EfficiencyMamba | —Unverified | 0 | 0 |
| Differentiable Bootstrap Particle Filters for Regime-Switching Models | Feb 20, 2023 | State Space Models | —Unverified | 0 | 0 |
| Demystifying the Token Dynamics of Deep Selective State Space Models | Oct 4, 2024 | MambaState Space Models | —Unverified | 0 | 0 |
| Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation | Dec 1, 2018 | Bayesian InferenceComputational Efficiency | —Unverified | 0 | 0 |
