| 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 |
| State-space Models with Layer-wise Nonlinearity are Universal Approximators with Exponential Decaying Memory | Sep 23, 2023 | State Space Models | CodeCode Available | 1 |
| Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models | Sep 3, 2023 | Gaussian ProcessesState Space Models | CodeCode Available | 1 |
| Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata | Aug 29, 2023 | BenchmarkingDiagnostic | CodeCode Available | 1 |
| Structured State Space Models for Multiple Instance Learning in Digital Pathology | Jun 27, 2023 | Multiple Instance LearningState Space Models | CodeCode Available | 1 |
| Sparse Modular Activation for Efficient Sequence Modeling | Jun 19, 2023 | ChunkingLanguage Modeling | CodeCode Available | 1 |
| A Neural State-Space Model Approach to Efficient Speech Separation | May 26, 2023 | Representation LearningSpeech Separation | CodeCode Available | 1 |
| Posterior Sampling for Deep Reinforcement Learning | Apr 30, 2023 | Computational EfficiencyDeep Reinforcement Learning | CodeCode Available | 1 |
| Effectively Modeling Time Series with Simple Discrete State Spaces | Mar 16, 2023 | State Space ModelsTime Series | CodeCode Available | 1 |
| Resurrecting Recurrent Neural Networks for Long Sequences | Mar 11, 2023 | ClassificationComputational Efficiency | CodeCode Available | 1 |
| Structured State Space Models for In-Context Reinforcement Learning | Mar 7, 2023 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series | Jan 26, 2023 | Bayesian InferenceImputation | CodeCode Available | 1 |
| Diffusion-based Conditional ECG Generation with Structured State Space Models | Jan 19, 2023 | State Space ModelsSynthetic Data Generation | CodeCode Available | 1 |
| Deep Latent State Space Models for Time-Series Generation | Dec 24, 2022 | State Space ModelsTime Series | CodeCode Available | 1 |
| Pretraining Without Attention | Dec 20, 2022 | State Space Models | CodeCode Available | 1 |
| Efficient Long Sequence Modeling via State Space Augmented Transformer | Dec 15, 2022 | Computational EfficiencyDecoder | CodeCode Available | 1 |
