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State Space Models

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Showing 251–300 of 923 papers

TitleStatusHype
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning—0
Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations: A Comparative Study on Efficiency and Performance—0
Explicit Port-Hamiltonian FEM-Models for Linear Mechanical Systems with Non-Uniform Boundary Conditions—0
Explainable Genetic Inheritance Pattern Prediction—0
Computationally efficient predictive control based on ANN state-space models—0
Experimental assessment of polynomial nonlinear state-space and nonlinear-mode models for near-resonant vibrations—0
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models—0
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models—0
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models—0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
Exemplar-Free Continual Learning for State Space Models—0
Event Signal Filtering via Probability Flux Estimation—0
Comparative Study of State-based Neural Networks for Virtual Analog Audio Effects Modeling—0
EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction—0
Event-based Video Super-Resolution via State Space Models—0
Comba: Improving Bilinear RNNs with Closed-loop Control—0
A Survey on Mamba Architecture for Vision Applications—0
Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models—0
Estimation of black bear abundance by management zone in Wisconsin—0
CMamba: Learned Image Compression with State Space Models—0
Entropy Analysis of Financial Time Series—0
A Survey of Transformer Enabled Time Series Synthesis—0
Identification of Gaussian Process State Space Models—0
Identification of jump Markov linear models using particle filters—0
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification—0
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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