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State Space Models

Papers

Showing 101150 of 923 papers

TitleStatusHype
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual LearningCode2
Quamba: A Post-Training Quantization Recipe for Selective State Space ModelsCode2
Retinexmamba: Retinex-based Mamba for Low-light Image EnhancementCode2
PhysMamba: Efficient Remote Physiological Measurement with SlowFast Temporal Difference MambaCode2
Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image EnhancementCode2
EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space DualityCode2
Point Cloud Mamba: Point Cloud Learning via State Space ModelCode2
S^2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image ClassificationCode2
CDMamba: Incorporating Local Clues into Mamba for Remote Sensing Image Binary Change DetectionCode2
Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State FusionCode2
Vision Mamba: A Comprehensive Survey and TaxonomyCode2
Conditional Simulation Using Diffusion Schrödinger BridgesCode1
On the Expressiveness and Length Generalization of Selective State-Space Models on Regular LanguagesCode1
On Uncertainty in Deep State Space Models for Model-Based Reinforcement LearningCode1
OccMamba: Semantic Occupancy Prediction with State Space ModelsCode1
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven PriorsCode1
NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?Code1
O-Mamba: O-shape State-Space Model for Underwater Image EnhancementCode1
CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series ForecastingCode1
MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based DecodersCode1
Normalizing Flow-based Differentiable Particle FiltersCode1
Novel Object 6D Pose Estimation with a Single Reference ViewCode1
Model-Based Reinforcement Learning via Latent-Space CollocationCode1
Online Variational Filtering and Parameter LearningCode1
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image RecoveryCode1
Change State Space Models for Remote Sensing Change DetectionCode1
Differentiable Particle Filtering via Entropy-Regularized Optimal TransportCode1
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time SeriesCode1
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space ModelsCode1
Advancing the State-of-the-Art for ECG Analysis through Structured State Space ModelsCode1
MamBEV: Enabling State Space Models to Learn Birds-Eye-View RepresentationsCode1
MHS-VM: Multi-Head Scanning in Parallel Subspaces for Vision MambaCode1
A Reverse Mamba Attention Network for Pathological Liver SegmentationCode1
Mamba time series forecasting with uncertainty quantificationCode1
Brain-to-Text Benchmark '24: Lessons LearnedCode1
Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image SegmentationCode1
Deep State Space Models for Nonlinear System IdentificationCode1
Accelerating Toeplitz Neural Network with Constant-time Inference ComplexityCode1
Diffusion-based Conditional ECG Generation with Structured State Space ModelsCode1
MambaMIM: Pre-training Mamba with State Space Token Interpolation and its Application to Medical Image SegmentationCode1
Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space ModelsCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space ModelsCode1
MaIL: Improving Imitation Learning with MambaCode1
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field EnlargementCode1
Mamba2D: A Natively Multi-Dimensional State-Space Model for Vision TasksCode1
Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection LayersCode1
LOCOST: State-Space Models for Long Document Abstractive SummarizationCode1
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental LearningCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
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