| 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 |
| On-line Bayesian parameter estimation in general non-linear state-space models: A tutorial and new results | Jul 12, 2013 | Density Estimationparameter estimation | —Unverified | 0 | 0 |
| Online Joint State Inference and Learning of Partially Unknown State-Space Models | Feb 15, 2021 | State Space Models | —Unverified | 0 | 0 |
| Delay Embedding Theory of Neural Sequence Models | Jun 17, 2024 | Inductive BiasState Space Models | —Unverified | 0 | 0 |
| Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network | Aug 6, 2024 | 3D Human Pose EstimationComputational Efficiency | —Unverified | 0 | 0 |
| What comes after transformers? -- A selective survey connecting ideas in deep learning | Aug 1, 2024 | Deep LearningState Space Models | —Unverified | 0 | 0 |
| On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data | Dec 15, 2021 | QuantizationState Estimation | —Unverified | 0 | 0 |
| On Symmetries in Analytic Input-Output Systems | Jan 4, 2025 | State Space Models | —Unverified | 0 | 0 |
| On the computation of stable coupled state-space models for dynamic substructuring applications | Mar 5, 2024 | State Space Models | —Unverified | 0 | 0 |
| On the dimension of pullback attractors in recurrent neural networks | Jan 20, 2025 | Dimensionality ReductionState Space Models | —Unverified | 0 | 0 |
| DefMamba: Deformable Visual State Space Model | Jan 1, 2025 | Computational Efficiencyimage-classification | —Unverified | 0 | 0 |
| On the Herdability of Linear Time-Invariant Systems with Special Topological Structures | Apr 18, 2022 | ClusteringState Space Models | —Unverified | 0 | 0 |
| On the locality bias and results in the Long Range Arena | Jan 24, 2025 | DenoisingState Space Models | —Unverified | 0 | 0 |
| On the Parameterization and Initialization of Diagonal State Space Models | Jun 23, 2022 | Long-range modelingState Space Models | —Unverified | 0 | 0 |
| On the Power of Convolution Augmented Transformer | Jul 8, 2024 | Language ModelingLanguage Modelling | —Unverified | 0 | 0 |
| On the reduction of Linear Parameter-Varying State-Space models | Apr 2, 2024 | BenchmarkingDimensionality Reduction | —Unverified | 0 | 0 |