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| Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models | Aug 12, 2022 | Gaussian Processesregression | CodeCode Available | 0 |
| Towards Flexibility and Interpretability of Gaussian Process State-Space Model | Jan 21, 2023 | State Space ModelsVariational Inference | CodeCode Available | 0 |
| Dynamical similarity analysis can identify compositional dynamics developing in RNNs | Oct 31, 2024 | MambaState Space Models | CodeCode Available | 0 |
| DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis | Dec 1, 2024 | Computational EfficiencyPhysics-informed machine learning | CodeCode Available | 0 |
| Tracking Brand-Associated Polarity-Bearing Topics in User Reviews | Jan 3, 2023 | Meta-LearningState Space Models | CodeCode Available | 0 |
| Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural Networks | May 15, 2021 | speech-recognitionSpeech Recognition | CodeCode Available | 0 |
| State-space models are accurate and efficient neural operators for dynamical systems | Sep 5, 2024 | Computational EfficiencyMamba | CodeCode Available | 0 |
| Tracking Network Dynamics using Probabilistic State-Space Models | Sep 12, 2024 | State Space Models | CodeCode Available | 0 |
| DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models | Dec 11, 2024 | Graph structure learningInformativeness | CodeCode Available | 0 |
