{"total":72,"rows":[{"id":"2403.06977","title":"VideoMamba: State Space Model for Efficient Video Understanding","created":"2024-03-11","cited_by_count":328,"area":"ssm"},{"id":"2402.10739","title":"PointMamba: A Simple State Space Model for Point Cloud Analysis","created":"2024-02-16","cited_by_count":167,"area":"ssm"},{"id":"2403.09977","title":"EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba","created":"2024-03-15","cited_by_count":146,"area":"ssm"},{"id":"2403.01590","title":"The Hidden Attention of Mamba Models","created":"2024-03-03","cited_by_count":91,"area":"ssm"},{"id":"2402.08678","title":"Graph Mamba: Towards Learning on Graphs with State Space Models","created":"2024-02-13","cited_by_count":86,"area":"ssm"},{"id":"2404.16112","title":"Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges","created":"2024-04-24","cited_by_count":64,"area":"ssm"},{"id":"2404.09476","title":"FreqMamba: Viewing Mamba from a Frequency Perspective for Image Deraining","created":"2024-04-15","cited_by_count":57,"area":"ssm"},{"id":"2403.18257","title":"Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation","created":"2024-03-27","cited_by_count":45,"area":"ssm"},{"id":"2407.09646","title":"Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba","created":"2024-07-12","cited_by_count":45,"area":"ssm"},{"id":"2504.16053","title":"LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement","created":"2025-04-22","cited_by_count":42,"area":"ssm"},{"id":"2408.01129","title":"A Survey of Mamba","created":"2024-08-02","cited_by_count":39,"area":"ssm"},{"id":"2405.11831","title":"SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model","created":"2024-05-20","cited_by_count":37,"area":"ssm"},{"id":"2406.07592","title":"MambaLRP: Explaining Selective State Space Sequence Models","created":"2024-06-11","cited_by_count":32,"area":"ssm"},{"id":"2405.15413","title":"MambaVC: Learned Visual Compression with Selective State Spaces","created":"2024-05-24","cited_by_count":28,"area":"ssm"},{"id":"2403.12418","title":"STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space Model","created":"2024-03-19","cited_by_count":24,"area":"ssm"},{"id":"2405.11449","title":"NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba","created":"2024-05-19","cited_by_count":24,"area":"ssm"},{"id":"2404.18174","title":"Mamba-FETrack: Frame-Event Tracking via State Space Model","created":"2024-04-28","cited_by_count":22,"area":"ssm"},{"id":"2407.02228","title":"MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders","created":"2024-07-02","cited_by_count":22,"area":"ssm"},{"id":"2407.08132","title":"DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote Sensing","created":"2024-07-11","cited_by_count":20,"area":"ssm"},{"id":"2408.06966","title":"DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs","created":"2024-08-13","cited_by_count":17,"area":"ssm"},{"id":"2404.11375","title":"Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion","created":"2024-04-17","cited_by_count":16,"area":"ssm"},{"id":"2404.14757","title":"SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting","created":"2024-04-23","cited_by_count":16,"area":"ssm"},{"id":"2407.13772","title":"GroupMamba: Efficient Group-Based Visual State Space Model","created":"2024-07-18","cited_by_count":15,"area":"ssm"},{"id":"2405.16440","title":"MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting","created":"2024-05-26","cited_by_count":14,"area":"ssm"},{"id":"2405.16504","title":"Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation","created":"2024-05-26","cited_by_count":11,"area":"ssm"},{"id":"2408.15101","title":"MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders","created":"2024-08-27","cited_by_count":10,"area":"ssm"},{"id":"2505.13930","title":"BiCrossMamba-ST: Speech Deepfake Detection with Bidirectional Mamba Spectro-Temporal Cross-Attention","created":"2025-05-20","cited_by_count":10,"area":"ssm"},{"id":"2411.02941","title":"A Mamba Foundation Model for Time Series Forecasting","created":"2024-11-05","cited_by_count":9,"area":"ssm"},{"id":"2503.18970","title":"Advancing Intelligent Sequence Modeling: Evolution, Trade-offs, and Applications of State-Space Architectures from S4 to Mamba","created":"2025-03-22","cited_by_count":9,"area":"ssm"},{"id":"2404.07106","title":"3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion","created":"2024-04-10","cited_by_count":8,"area":"ssm"},{"id":"2406.05316","title":"CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting","created":"2024-06-08","cited_by_count":8,"area":"ssm"},{"id":"2412.08160","title":"DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models","created":"2024-12-11","cited_by_count":8,"area":"ssm"},{"id":"2406.04377","title":"Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images","created":"2024-06-05","cited_by_count":7,"area":"ssm"},{"id":"2406.11244","title":"SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces","created":"2024-06-17","cited_by_count":7,"area":"ssm"},{"id":"2407.10923","title":"OPa-Ma: Text Guided Mamba for 360-degree Image Out-painting","created":"2024-07-15","cited_by_count":7,"area":"ssm"},{"id":"2408.13074","title":"Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis","created":"2024-08-23","cited_by_count":6,"area":"ssm"},{"id":"2407.20893","title":"MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network","created":"2024-07-30","cited_by_count":5,"area":"ssm"},{"id":"2501.15461","title":"Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space","created":"2025-01-26","cited_by_count":4,"area":"ssm"},{"id":"2502.02209","title":"On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach","created":"2025-02-04","cited_by_count":4,"area":"ssm"},{"id":"2503.06565","title":"Future-Aware Interaction Network For Motion Forecasting","created":"2025-03-09","cited_by_count":4,"area":"ssm"},{"id":"2404.19394","title":"CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation","created":"2024-04-30","cited_by_count":3,"area":"ssm"},{"id":"2405.13915","title":"HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model","created":"2024-05-22","cited_by_count":3,"area":"ssm"},{"id":"2406.00209","title":"Mamba State-Space Models Are Lyapunov-Stable Learners","created":"2024-05-31","cited_by_count":3,"area":"ssm"},{"id":"2412.14518","title":"Efficient Self-Supervised Video Hashing with Selective State Spaces","created":"2024-12-19","cited_by_count":3,"area":"ssm"},{"id":"2511.07823","title":"CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis","created":"2025-11-11","cited_by_count":3,"area":"ssm"},{"id":"2602.12499","title":"A Theoretical Analysis of Mamba's Training Dynamics: Filtering Relevant Features for Generalization in State Space Models","created":"2026-02-13","cited_by_count":3,"area":"ssm"},{"id":"2410.03292","title":"Demystifying the Token Dynamics of Deep Selective State Space Models","created":"2024-10-04","cited_by_count":2,"area":"ssm"},{"id":"2412.18322","title":"Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning","created":"2024-12-24","cited_by_count":2,"area":"ssm"},{"id":"2506.11997","title":"pLSTM: parallelizable Linear Source Transition Mark networks","created":"2025-06-13","cited_by_count":2,"area":"ssm"},{"id":"2507.19778","title":"HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning","created":"2025-07-26","cited_by_count":2,"area":"ssm"},{"id":"2510.12573","title":"Learning Human Motion with Temporally Conditional Mamba","created":"2025-10-14","cited_by_count":2,"area":"ssm"},{"id":"2406.16722","title":"Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba","created":"2024-06-24","cited_by_count":1,"area":"ssm"},{"id":"2410.21211","title":"Exploring contextual modeling with linear complexity for point cloud segmentation","created":"2024-10-28","cited_by_count":1,"area":"ssm"},{"id":"2411.16729","title":"DiM-Gestor: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2","created":"2024-11-23","cited_by_count":1,"area":"ssm"},{"id":"2506.16353","title":"MambaHash: Visual State Space Deep Hashing Model for Large-Scale Image Retrieval","created":"2025-06-19","cited_by_count":1,"area":"ssm"},{"id":"2508.10370","title":"eMamba: Efficient Acceleration Framework for Mamba Models in Edge Computing","created":"2025-08-14","cited_by_count":1,"area":"ssm"},{"id":"2511.06756","title":"Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling","created":"2025-11-10","cited_by_count":1,"area":"ssm"},{"id":"2609.07681","title":"On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing","created":"2026-09-07","cited_by_count":1,"area":"ssm"},{"id":"2408.10517","title":"Decision MetaMamba: Enhancing Selective SSM in Offline RL with Heterogeneous Sequence Mixing","created":"2024-08-20","cited_by_count":0,"area":"ssm"},{"id":"2408.15379","title":"DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-based Sentiment Analysis","created":"2024-08-27","cited_by_count":0,"area":"ssm"},{"id":"2409.11867","title":"StableMamba: Distillation-free Scaling of Large SSMs for Images and Videos","created":"2024-09-18","cited_by_count":0,"area":"ssm"},{"id":"2505.11578","title":"Physics Consistency and Latent Dynamics in Spatiotemporal Physics Field Generation","created":"2025-05-16","cited_by_count":0,"area":"ssm"},{"id":"2601.02157","title":"Multi-fidelity graph-based neural networks architectures to learn Navier-Stokes solutions on non-parametrized 2D domains","created":"2026-01-05","cited_by_count":0,"area":"ssm"},{"id":"2601.20518","title":"CCMamba: Topologically-Informed Selective State-Space Networks on Combinatorial Complexes for Higher-Order Graph Learning","created":"2026-01-28","cited_by_count":0,"area":"ssm"},{"id":"2602.01586","title":"HandMCM: Multi-modal Point Cloud-based Correspondence State Space Model for 3D Hand Pose Estimation","created":"2026-02-02","cited_by_count":0,"area":"ssm"},{"id":"2602.19805","title":"Decision MetaMamba: Enhancing Selective SSM in Offline RL with Heterogeneous Sequence Mixing","created":"2026-02-23","cited_by_count":0,"area":"ssm"},{"id":"2606.02602","title":"Graph Mamba Survival Analysis Based on Topology-Aware ordering","created":"2026-05-23","cited_by_count":0,"area":"ssm"},{"id":"2606.04493","title":"SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning","created":"2026-06-03","cited_by_count":0,"area":"ssm"},{"id":"2606.09432","title":"Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems","created":"2026-06-08","cited_by_count":0,"area":"ssm"},{"id":"2608.13723","title":"Graph-MambaNav: Spatial-Temporal Graph Mamba Leveraging Object-Relation Knowledge for Object-Goal Navigation","created":"2026-08-13","cited_by_count":0,"area":"ssm"},{"id":"2608.21411","title":"Social Graph Mamba: Forecasting Pedestrian Movements Based on Social Context","created":"2026-08-11","cited_by_count":0,"area":"ssm"},{"id":"2609.28580","title":"Token Clustering and Semantic Sequence Mamba for Hyperspectral Image Classification","created":"2026-09-23","cited_by_count":0,"area":"ssm"}],"next_cursor":null}