| Variational Sequential Monte Carlo | May 31, 2017 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Perspectives: Comparison of Deep Learning Segmentation Models on Biophysical and Biomedical Data | Aug 14, 2024 | Deep Learningfeature selection | CodeCode Available | 0 |
| Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior | Jun 11, 2024 | State Space Models | CodeCode Available | 0 |
| Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction | Jan 23, 2019 | State Space ModelsTime Series | CodeCode Available | 0 |
| Recurrent neural networks: vanishing and exploding gradients are not the end of the story | May 31, 2024 | State Space Models | CodeCode Available | 0 |
| Recurrent Neural Processes | Jun 13, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Free-Form Variational Inference for Gaussian Process State-Space Models | Feb 20, 2023 | FormState Space Models | CodeCode Available | 0 |
| Parameter elimination in particle Gibbs sampling | Oct 30, 2019 | Bayesian InferenceEpidemiology | CodeCode Available | 0 |
| Stochastic Gradient MCMC for Nonlinear State Space Models | Jan 29, 2019 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| Regime Learning for Differentiable Particle Filters | May 8, 2024 | State Space Models | CodeCode Available | 0 |
| 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 |
| Newton-based maximum likelihood estimation in nonlinear state space models | Feb 12, 2015 | parameter estimationState Space Models | CodeCode Available | 0 |
| Revealing and Mitigating the Local Pattern Shortcuts of Mamba | Oct 21, 2024 | MambaState Space Models | CodeCode Available | 0 |
| Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts | Sep 9, 2024 | In-Context LearningState Space Models | CodeCode Available | 0 |
| CoMamba: Real-time Cooperative Perception Unlocked with State Space Models | Sep 16, 2024 | Autonomous Drivingobject-detection | CodeCode Available | 0 |
| Streaming Variational Monte Carlo | Jun 4, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| Neuron's Eye View: Inferring Features of Complex Stimuli from Neural Responses | Dec 4, 2015 | Bayesian InferenceState Space Models | CodeCode Available | 0 |
| A dynamic factor model approach to incorporate Big Data in state space models for official statistics | Jan 31, 2019 | State Space Models | CodeCode Available | 0 |
| Structured Inference Networks for Nonlinear State Space Models | Sep 30, 2016 | Multivariate Time Series ForecastingState Space Models | CodeCode Available | 0 |
| Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification | Apr 13, 2023 | Deep LearningState Space Models | CodeCode Available | 0 |
| Neural State-Space Modeling with Latent Causal-Effect Disentanglement | Sep 26, 2022 | DisentanglementState Space Models | CodeCode Available | 0 |
| S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart Buildings | Feb 28, 2025 | GPUState Space Models | CodeCode Available | 0 |
| Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks | Jun 4, 2025 | speech-recognitionSpeech Recognition | CodeCode Available | 0 |
| Multilingual State Space Models for Structured Question Answering in Indic Languages | Feb 1, 2025 | Answer GenerationDiversity | CodeCode Available | 0 |
| Structured state-space models are deep Wiener models | Dec 11, 2023 | State Space Models | CodeCode Available | 0 |
| fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models | Aug 8, 2022 | BenchmarkingState Space Models | CodeCode Available | 0 |
| Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling | Nov 9, 2019 | GPUModel Selection | CodeCode Available | 0 |
| Adversarial Transform Particle Filters | Feb 10, 2025 | Generalization BoundsState Space Models | CodeCode Available | 0 |
| MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation | May 24, 2024 | Computational EfficiencyLesion Segmentation | CodeCode Available | 0 |
| Modeling Time-Variant Responses of Optical Compressors with Selective State Space Models | Aug 22, 2024 | State Space Models | CodeCode Available | 0 |
| Structured Variational Inference in Unstable Gaussian Process State Space Models | Jul 16, 2019 | Gaussian ProcessesState Space Models | CodeCode Available | 0 |
| SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space Models | Feb 1, 2025 | Earth ObservationState Space Models | CodeCode Available | 0 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
| Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods | Jun 23, 2015 | Bayesian OptimisationState Space Models | CodeCode Available | 0 |
| Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems | May 2, 2023 | Autonomous DrivingState Space Models | CodeCode Available | 0 |
| Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems | Jul 13, 2023 | State Space Models | CodeCode Available | 0 |
| Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba | Jun 22, 2025 | Mambaparameter-efficient fine-tuning | CodeCode Available | 0 |
| Understanding Robustness of Visual State Space Models for Image Classification | Mar 16, 2024 | Adversarial Robustnessimage-classification | CodeCode Available | 0 |
| Mamba-UIE: Enhancing Underwater Images with Physical Model Constraint | Jul 27, 2024 | Image EnhancementMamba | CodeCode Available | 0 |
| Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks | May 24, 2024 | State Space Models | CodeCode Available | 0 |
| MambaRecon: MRI Reconstruction with Structured State Space Models | Sep 19, 2024 | MambaMRI Reconstruction | CodeCode Available | 0 |