| Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation | Dec 15, 2023 | Bayesian InferenceState Space Models | CodeCode Available | 1 |
| Spectral State Space Models | Dec 11, 2023 | PredictionState Space Models | CodeCode Available | 1 |
| Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference | Dec 10, 2023 | State Space ModelsVariational Inference | CodeCode Available | 1 |
| Recurrent Distance Filtering for Graph Representation Learning | Dec 3, 2023 | Graph ClassificationGraph Representation Learning | CodeCode Available | 1 |
| StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization | Nov 24, 2023 | State Space Models | CodeCode Available | 1 |
| Accelerating Toeplitz Neural Network with Constant-time Inference Complexity | Nov 15, 2023 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| Convolutional State Space Models for Long-Range Spatiotemporal Modeling | Oct 30, 2023 | MinecraftState Space Models | CodeCode Available | 1 |
| S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models | Oct 10, 2023 | Sleep StagingState Space Models | CodeCode Available | 1 |
| Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors | Oct 4, 2023 | DenoisingState Space Models | CodeCode Available | 1 |
| Scaling Representation Learning from Ubiquitous ECG with State-Space Models | Sep 26, 2023 | Representation LearningState Space Models | CodeCode Available | 1 |
