| Why are state-space models more expressive than n-gram models? | Jun 20, 2023 | MambaMemorization | —Unverified | 0 |
| Sparse Modular Activation for Efficient Sequence Modeling | Jun 19, 2023 | ChunkingLanguage Modeling | CodeCode Available | 1 |
| Block-State Transformers | Jun 15, 2023 | Language ModelingLanguage Modelling | —Unverified | 0 |
| A Recursive Newton Method for Smoothing in Nonlinear State Space Models | Jun 15, 2023 | State Space Models | —Unverified | 0 |
| Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems | Jun 14, 2023 | State EstimationState Space Models | —Unverified | 0 |
| A Quantitative Review on Language Model Efficiency Research | May 28, 2023 | Language ModelingLanguage Modelling | —Unverified | 0 |
| A Neural State-Space Model Approach to Efficient Speech Separation | May 26, 2023 | Representation LearningSpeech Separation | CodeCode Available | 1 |
| Multi-Head State Space Model for Speech Recognition | May 21, 2023 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance | May 6, 2023 | Bayesian InferenceState Estimation | —Unverified | 0 |
| Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems | May 2, 2023 | Autonomous DrivingState Space Models | CodeCode Available | 0 |
| Posterior Sampling for Deep Reinforcement Learning | Apr 30, 2023 | Computational EfficiencyDeep Reinforcement Learning | CodeCode Available | 1 |
| Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification | Apr 13, 2023 | Deep LearningState Space Models | CodeCode Available | 0 |
| Initialization Approach for Nonlinear State-Space Identification via the Subspace Encoder Approach | Apr 4, 2023 | State Space Models | —Unverified | 0 |
| Learning Stable and Robust Linear Parameter-Varying State-Space Models | Apr 4, 2023 | State Space Models | —Unverified | 0 |
| Computationally efficient predictive control based on ANN state-space models | Mar 30, 2023 | Model Predictive ControlState Space Models | —Unverified | 0 |
| Maximum likelihood smoothing estimation in state-space models: An incomplete-information based approach | Mar 29, 2023 | State Space Models | —Unverified | 0 |
| Inverse Cubature and Quadrature Kalman filters | Mar 18, 2023 | Numerical IntegrationState Space Models | —Unverified | 0 |
| Effectively Modeling Time Series with Simple Discrete State Spaces | Mar 16, 2023 | State Space ModelsTime Series | CodeCode Available | 1 |
| Variational Gaussian filtering via Wasserstein gradient flows | Mar 11, 2023 | parameter estimationState Space Models | CodeCode Available | 0 |
| 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 |
| Time series anomaly detection with reconstruction-based state-space models | Mar 6, 2023 | Anomaly DetectionDecoder | CodeCode Available | 0 |
| Fast Randomized Subspace System Identification for Large I/O Data | Mar 2, 2023 | State Space Modelssubspace methods | —Unverified | 0 |
| PlaNet-ClothPick: Effective Fabric Flattening Based on Latent Dynamic Planning | Mar 2, 2023 | State Space Models | —Unverified | 0 |
| Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems | Mar 1, 2023 | State Space Models | CodeCode Available | 0 |
