State Space Models

Also known as SSM

Momentum

28 papers in the last four weeks, up 250% on the four weeks before. 0.3% of all new papers.

Jul 13Week of Sep 28

Latest papers 181

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  1. MambaCSP: Hybrid-Attention State Space Models for Hardware-Efficient Channel State Prediction

    Apr 23, 2026Aladin Djuhera, Haris Gacanin, Holger BocheEfficient Neural Network InferenceSelective SSMs

  2. Beyond ZOH: Advanced Discretization Strategies for Vision Mamba

    Apr 22, 2026Fady Ibrahim, Guangjun Liu, Guanghui WangVisual SSMsState Space Models

  3. An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling

    Apr 22, 2026Anif N. Shikder, Ramit Dey, Sayantan Auddy +6Dynamical SystemsNeural Network Interpretability

  4. Data-Driven Open-Loop Simulation for Digital-Twin Operator Decision Support in Wastewater Treatment

    Apr 22, 2026Gary Simethy, Daniel Ortiz Arroyo, Petar DurdevicNeural Surrogate ModelingDigital Twins

  5. Linear-Time and Constant-Memory Text Embeddings Based on Recurrent Language Models

    Apr 20, 2026Tobias Grantner, Emanuel Sallinger, Martin FlechlMemory-Efficient InferenceText Embedding Models

  6. Bilinear Input Modulation for Mamba: Koopman Bilinear Forms for Memory Retention and Multiplicative Computation

    Apr 19, 2026Hiroki Fujii, Masaki YamakitaSelective SSMsState Space Models

  7. A state-space representation of the boundary integral equation for room acoustic modelling

    Apr 18, 2026Randall Ali, Thomas Dietzen, Matteo Scerbo +2Room AcousticsState Space Models

  8. PA-TCNet: Pathology-Aware Temporal Calibration with Physiology-Guided Target Refinement for Cross-Subject Motor Imagery EEG Decoding in Stroke Patients

    Apr 17, 2026Xiangkai Wang, Yun Zhao, Dongyi He +5Cross-Subject EEG DecodingBrain-Computer Interfaces

  9. MambaBack: Bridging Local Features and Global Contexts in Whole Slide Image Analysis

    Apr 17, 2026Sicheng Chen, Chad Wong, Tianyi Zhang +3Efficient Neural Network InferenceMultiple Instance Learning

  10. SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification

    Apr 17, 2026Enhui Chai, Sicheng Chen, Tianyi Zhang +2Self-Supervised LearningPathology Foundation Models

  11. On the Expressive Power and Limitations of Multi-Layer SSMs

    Apr 16, 2026Nikola Zubić, Qian Li, Yuyi Wang +1CoT ReasoningState Space Models

  12. Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning

    Mar 24, 2026Konstantinos Barmpounakis, Theodoros P. Vagenas, Maria Vakalopoulou +1Medical Image SynthesisState Space Models

  13. Extending SSMs with the Exponentially Weighted Signature

    Mar 19, 2026Alexandre Bloch, Benjamin Walker, Joël Mouterde +3Dynamical SystemsTime Series Classification

  14. Retrievit: In-context Retrieval Capabilities of Transformers, State Space Models, and Hybrid Architectures

    Mar 3, 2026Georgios Pantazopoulos, Malvina Nikandrou, Ioannis Konstas +1In-Context RetrievalTransformer

  15. Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models

    Jan 30, 2026Yannis Montreuil, Letian Yu, Axel Carlier +2Cost-Sensitive LearningAdaptive Model Routing

  16. Lag Operator SSMs: A Geometric Framework for Structured State Space Modeling

    Dec 22, 2025Sutashu Tomonaga, Kenji Doya, Noboru MurataSequence ModelingState Space Models

  17. Recursive Entropic Variational Inference for Nonlinear State-Space Models

    Nov 19, 2025Hany Abdulsamad, Ángel F. García-Fernández, Simo SärkkäBayesian FilteringVariational Inference

  18. PyDPF: A Python Package for Differentiable Particle Filtering

    Oct 29, 2025John-Joseph Brady, Benjamin Cox, Yunpeng Li +1Particle FilteringBayesian Filtering

  19. Beyond Semantics: How Temporal Biases Shape Retrieval in Transformer and State-Space Models

    Oct 26, 2025Anooshka Bajaj, Deven Mahesh Mistry, Sahaj Singh Maini +2In-Context LearningInduction Heads

  20. Data Efficient Any Transformer-to-Mamba Distillation via Attention Bridge

    Oct 22, 2025Penghao Wang, Yuhao Zhou, Mengxuan Wu +3Cross-Architecture Knowledge DistillationKnowledge Distillation

  21. Aligning Inductive Bias for Data-Efficient Generalization in State Space Models

    Sep 25, 2025Qiyu Chen, Guozhang ChenSequence ModelingData-Efficient Learning

  22. EEGDM: Label-Efficient EEG Representation Learning with Generative Diffusion Model

    Aug 13, 2025Jia Hong Puah, Sim Kuan Goh, Ziwei Zhang +6ElectroencephalographyEEG Seizure Detection

  23. Keyframe-Centric State-Space Modeling for Burst Image Super-Resolution

    Mar 25, 2025Ozan Unal, Steven Marty, Dengxin DaiImage Super-ResolutionState Space Models

  24. Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

    Jul 8, 2024Xiaojie Li, Yibo Yang, Jianlong Wu +4Class-Incremental LearningIncremental Learning