| A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems | Oct 31, 2019 | State Space Models | —Unverified | 0 |
| Efficient variational approximations for state space models | Oct 20, 2022 | State Space Models | —Unverified | 0 |
| Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments | May 13, 2025 | MambaState Space Models | —Unverified | 0 |
| HTMNet: A Hybrid Network with Transformer-Mamba Bottleneck Multimodal Fusion for Transparent and Reflective Objects Depth Completion | May 27, 2025 | DecoderDepth Completion | —Unverified | 0 |
| Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM | Dec 17, 2013 | State Space Models | —Unverified | 0 |
| Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems | Mar 24, 2025 | Computational EfficiencyGaussian Processes | —Unverified | 0 |
| Efficient Time Series Processing for Transformers and State-Space Models through Token Merging | May 28, 2024 | State Space ModelsTime Series | —Unverified | 0 |
| Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline | Sep 14, 2024 | Bayesian InferenceState Estimation | —Unverified | 0 |
| A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark | Nov 15, 2019 | State Space Models | —Unverified | 0 |
| Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters | Nov 2, 2021 | State Space Models | —Unverified | 0 |
