| Regret-Optimal Filtering for Prediction and Estimation | Jan 25, 2021 | PredictionState Space Models | CodeCode Available | 0 |
| Stochastic Gradient MCMC for State Space Models | Oct 22, 2018 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Deep Direct Discriminative Decoders for High-dimensional Time-series Data Analysis | May 22, 2022 | DecoderHippocampus | CodeCode Available | 0 |
| Relative representations for cognitive graphs | Sep 9, 2023 | State Space Models | CodeCode Available | 0 |
| Outlier-Insensitive Kalman Filtering Using NUV Priors | Oct 12, 2022 | State Space Models | CodeCode Available | 0 |
| Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics | Jul 15, 2025 | SchedulingState Space Models | CodeCode Available | 0 |
| On Provable Length and Compositional Generalization | Feb 7, 2024 | DiversityOut-of-Distribution Generalization | CodeCode Available | 0 |
| Online Variational Sequential Monte Carlo | Dec 19, 2023 | parameter estimationState Space Models | CodeCode Available | 0 |
| XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units | Feb 10, 2025 | State Space Models | CodeCode Available | 0 |
| Noise Covariances Identification by MDM: Weighting, Recursion, and Implementation | Dec 9, 2024 | State Space Models | CodeCode Available | 0 |
