State Space Models

Also known as SSM

Overview

State space models describe how hidden states evolve over time and generate observations, supporting both probabilistic system identification and neural sequence learning. Approaches range from Kalman filtering, smoothing, and particle or variational inference to structured S4/HiPPO models, selective Mamba scans, and hybrids that combine recurrence with attention. They are applied to long-context language and video, time-series forecasting, and signals such as EEG, with evaluation spanning retrieval and sequence benchmarks as well as real-world prediction tasks. Their recurrent structure can offer linear-time processing and bounded memory, but efficient computation does not guarantee reliable long-range retrieval or state tracking, and practical speed, robustness, and accuracy remain important trade-offs.

Latest papers

CardsList

299 papers30 papers in the last four weeks, down 12% on the four weeks before. 0.2% of all new papers.

  1. RASLF: Representation-Aware State Space Model for Light Field Super-Resolution

    Mar 17, 2026Zeqiang Wei, Kai Jin, Kuan Song +3Image Super-ResolutionState Space Models

  2. Mamba-3: Improved Sequence Modeling using State Space Principles

    Mar 16, 2026Aakash Lahoti, Kevin Y. Li, Berlin Chen +5State Space Language ModelsSequence Modeling

  3. Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling

    Mar 14, 2026Viet Dung Nguyen, Mobina Ghorbaninejad, Chengyi Ma +5Eye TrackingEvent-Based Vision

  4. Deep Learning for Virtual Reality User Identification: A Benchmark

    Mar 14, 2026Davide Frizzo, Fabrizio Genilotti, David Petrovic +6Biometric IdentificationVirtual Reality

  5. Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials

    Mar 13, 2026Adrien CorenflosAutomatic DifferentiationKalman Filtering

  6. CLASP: Defending Hybrid Large Language Models Against Hidden State Poisoning Attacks

    Mar 12, 2026Alexandre Le Mercier, Thomas Demeester, Chris DevelderLLM SecurityLanguage Model Robustness

  7. SEMamba++: A General Speech Restoration Framework Leveraging Global, Local, and Periodic Spectral Patterns

    Mar 12, 2026Yongjoon Lee, Jung-Woo ChoiSpeech EnhancementFrequency-Domain Feature Learning

  8. Single molecule localization microscopy challenge: a biologically inspired benchmark for long-sequence modeling

    Mar 11, 2026Fatemeh Valeh, Monika Farsang, Radu Grosu +1Sequence ModelingState Space Models

  9. Kinematics-Aware Latent World Models for Data-Efficient Autonomous Driving

    Mar 7, 2026Jiazhuo Li, Linjiang Cao, Qi Liu +1World Models for Autonomous DrivingWorld Model Learning

  10. Permutation-Equivariant 2D State Space Models: Theory and Canonical Architecture for Multivariate Time Series

    Mar 7, 2026Seungwoo Jeong, Heung-Il SukState Space ModelsMultivariate Time Series Forecasting

  11. Swimba: Switch Mamba Model Scales State Space Models

    Mar 6, 2026Zhixu Du, Krishna Teja Chitty-Venkata, Murali Emani +3State Space ModelsSelective SSMs

  12. DLRMamba: Distilling Low-Rank Mamba for Edge Multispectral Fusion Object Detection

    Mar 6, 2026Qianqian Zhang, Leon Tabaro, Ahmed M. Abdelmoniem +1Efficient Object DetectionState Space Models

  13. Warm Starting State-Space Models with Automata Learning

    Mar 5, 2026William Fishell, Sam Nicholas Kouteili, Mark SantolucitoAutomata LearningState Space Models

  14. BLINK: Behavioral Latent Modeling of NK Cell Cytotoxicity

    Mar 5, 2026Iman Nematollahi, Jose Francisco Villena-Ossa, Alina Moter +6Toxicity DetectionLatent Dynamics Modeling

  15. DeformTrace: A Deformable State Space Model with Relay Tokens for Temporal Forgery Localization

    Mar 5, 2026Xiaodong Zhu, Suting Wang, Yuanming Zheng +5Hybrid Transformer-State Space Model ArchitecturesTemporal Video Forgery Localization

  16. Mask-aware inference with State-Space Models

    Mar 4, 2026Ignasi Mas, Ramon Morros, Javier-Ruiz Hidalgo +1Visual SSMsState Space Models

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

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

  18. The Expressive Limits of Diagonal SSMs for State-Tracking

    Mar 2, 2026Mehran Shakerinava, Behnoush Khavari, Siamak Ravanbakhsh +1State Space ModelsState Tracking

  19. TacMamba: A Tactile History Compression Adapter Bridging Fast Reflexes and Slow VLA Reasoning

    Mar 2, 2026Zhenan Wang, Yanzhe Wang, Meixuan Ren +8Tactile Sensing for Robotic ManipulationVisuo-Tactile Representation Learning

  20. Improved MambdaBDA Framework for Robust Building Damage Assessment Across Disaster Domains

    Mar 1, 2026Alp Eren Gençoğlu, Hazım Kemal EkenelDisaster Damage AssessmentBuilding Damage Assessment

  21. BiM-GeoAttn-Net: Linear-Time Depth Modeling with Geometry-Aware Attention for 3D Aortic Dissection CTA Segmentation

    Feb 27, 2026Yuan Zhang, Lei Liu, Jialin Zhang +3Medical Image Segmentation3D Medical Image Segmentation

  22. Latent Matters: Learning Deep State-Space Models

    Feb 26, 2026Alexej Klushyn, Richard Kurle, Maximilian Soelch +2State Space ModelsLatent Dynamics Modeling