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State Space Models

Papers

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Showing 351–375 of 923 papers

TitleStatusHype
MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based DecodersCode1
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems—0
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space ModelsCode1
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image SegmentationCode2
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space ModelCode0
O-Mamba: O-shape State-Space Model for Underwater Image EnhancementCode1
Hierarchical Spatio-Temporal State-Space Modeling for fMRI AnalysisCode0
Modeling Time-Variant Responses of Optical Compressors with Selective State Space ModelsCode0
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image SegmentationCode2
Integrating Multi-Modal Input Token Mixer Into Mamba-Based Decision Models: Decision MetaMamba—0
OccMamba: Semantic Occupancy Prediction with State Space ModelsCode1
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic ModelsCode1
Time Series Analysis by State Space Learning—0
MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model—0
Where is the signal in tokenization space?—0
GrassNet: State Space Model Meets Graph Neural Network—0
MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image SegmentationCode1
DeNOTS: Stable Deep Neural ODEs for Time Series—0
Perspectives: Comparison of Deep Learning Segmentation Models on Biophysical and Biomedical DataCode0
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs—0
Mambular: A Sequential Model for Tabular Deep LearningCode3
Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations: A Comparative Study on Efficiency and Performance—0
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics—0
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models—0
PackMamba: Efficient Processing of Variable-Length Sequences in Mamba training—0
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