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State Space Models

Papers

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Showing 351–400 of 923 papers

TitleStatusHype
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems—0
MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based DecodersCode1
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
MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model—0
Time Series Analysis by State Space Learning—0
GrassNet: State Space Model Meets Graph Neural Network—0
Where is the signal in tokenization space?—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
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network—0
DeMansia: Mamba Never Forgets Any TokensCode0
A Survey of Mamba—0
PhysMamba: State Space Duality Model for Remote Physiological Measurement—0
Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image EnhancementCode2
Enhanced Structured State Space Models via Grouped FIR Filtering and Attention Sink Mechanisms—0
What comes after transformers? -- A selective survey connecting ideas in deep learning—0
RainMamba: Enhanced Locality Learning with State Space Models for Video DerainingCode2
ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2—0
From pixels to planning: scale-free active inference—0
Mamba-UIE: Enhancing Underwater Images with Physical Model ConstraintCode0
Towards Scalable and Stable Parallelization of Nonlinear RNNsCode1
VSSD: Vision Mamba with Non-Causal State Space DualityCode2
EEG-SSM: Leveraging State-Space Model for Dementia Detection—0
Enhanced SMC^2: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin ProposalsCode0
Deep State Space Recurrent Neural Networks for Time Series Forecasting—0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification—0
Longhorn: State Space Models are Amortized Online LearnersCode2
GroupMamba: Efficient Group-Based Visual State Space ModelCode2
Temporal Test-Time Adaptation with State-Space Models—0
Reachset-Conformant System Identification—0
Data-Driven Controlled Invariant Sets for Gaussian Process State Space Models—0
SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation—0
Hydra: Bidirectional State Space Models Through Generalized Matrix MixersCode2
HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context—0
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