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State Space Models

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Showing 276–300 of 923 papers

TitleStatusHype
HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model—0
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach—0
A study on fault diagnosis in nonlinear dynamic systems with uncertainties—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics—0
A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements—0
Empirical Evaluation of Knowledge Distillation from Transformers to Subquadratic Language Models—0
A Survey of Mamba—0
Hymba: A Hybrid-head Architecture for Small Language Models—0
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models—0
Embedding Information onto a Dynamical System—0
A State Alignment-Centric Approach to Federated System Identification: The FedAlign Framework—0
Element-wise Attention Is All You Need—0
Chimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection—0
HumMUSS: Human Motion Understanding using State Space Models—0
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems—0
Efficient variational approximations for state space models—0
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments—0
HTMNet: A Hybrid Network with Transformer-Mamba Bottleneck Multimodal Fusion for Transparent and Reflective Objects Depth Completion—0
Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging—0
Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline—0
A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark—0
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters—0
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