State Space Models

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Period ending 2026-09-21

10 new papers

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159 papers

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Stochastic Expectation Maximization for Robust State-Space Radio Interferometric Imaging
Jun 22, 2026Nawel Arab, Mohammed Nabil El Korso, Isabelle Vin +1State Space Models Expectation-Maximization
Scaling State-Space Models from Lines to Paragraphs: An Ablation of Mamba-based OCR
Jun 22, 2026Merveilles Agbeti-Messan, Pierrick Tranouez, Stéphane Nicolas +2State Space Models Optical Character Recognition
MambaADv2: Evolving Duality-enhanced State Space Model for Unsupervised Anomaly Detection
Jun 22, 2026Xiaobin Hu, Haoyang He, Bo Yin +5Reconstruction-Based Anomaly Detection Anomaly Detection
Physics-Guided Spatiotemporal State Space Modeling for Lookahead Molten Pool Segmentation in Laser Wire-Feed Welding
Jun 22, 2026Sen Li, Haichao Cui, Changhao Yin +4Segmentation Model Additive Manufacturing
MS-rPPG: Multi-spectral State Space Model for Remote Photoplethysmography in Driver Monitoring Systems
Jun 19, 2026Jiho Choi, Sang Jun LeeRemote Photoplethysmography Naturalistic Driving Data
Diffusion-Driven State Space Models
Jun 19, 2026Jack Ruder, Michael WojnowiczState Space Models Latent Dynamics
Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning
Jun 18, 2026M. Santos-Pascual, D. Ríos InsuaLatent States Adversaries
SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models
Jun 18, 2026Feng Wu, Harsh Deep, Eric Lehman +5Electrocardiogram Classification Multimodal Physiological Signals
Ternary Mamba: Grouped Quantization-Aware Training of W1.58A16 State Space Models
Jun 16, 2026Ramprasath Ganesaraja, Sahil Dilip Panse, Swathika NBidirectional Mamba State Space Models
S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained Devices
Jun 16, 2026Marco Deano, Filippo Ziche, Nicola BombieriState Space Models Heterogeneous Pruning Scores
Reload-Mamba: Hierarchical Anti-Dilution State-Space Modeling for Multi-Class Semantic Segmentation
Jun 16, 2026Sheng-Wei Chan, Hsin-Jui Pan, Jen-Shiun ChiangDense Semantic Segmentation Mamba
MambaCount: Efficient Text-guided Open-vocabulary Object Counting with Spatial Sparse State Space Duality Block
Jun 16, 2026Hao-Yuan Ma, Li Zhang, Minjie Qiang +1Open-Vocabulary Object Detection Medmamba
Dynestyx: A Probabilistic Programming Library for Dynamical Systems
Jun 15, 2026Daniel Waxman, Dmitry Batenkov, John Feser +4Bayesian State Space Models
MamBOA: State-Space Architecture for Video Recognition
Jun 13, 2026Mustafa Bora ÇelikMotion-Focused Representations Temporal Deep Learning Framework
DeepMine-Mamba: Mitigating Information Dilution in Mamba-Based State Space Models for Document Image Binarization
Jun 7, 2026Sheng-Wei Chan, Yung-Che Wang, Hsin-Jui Pan +2Binarization Mamba
SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting
Jun 6, 2026Xingsheng Chen, Siu-Ming YiuState Space Models Multivariate Time Series Forecasting
HoT-SSM:Higher-order Temporal Knowledge Graph Reasoning with State Space Models for Health Care
Jun 4, 2026Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Yash Punjabi +1Temporal Knowledge Graphs Clinical Prediction
Deep Embedded Multiplicative DMD for Algebra-Preserving Koopman Learning
Jun 3, 2026Kelan Gray, Finlay Brown, Nicolas Boullé +1Koopman Operator State Space Models
Learning Control-Affine Reduced-Order Models via Autoencoders
Jun 3, 2026Ali Mjalled, Martin MönnigmannReduced-Order Models Feedback Linearization
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM
Jun 3, 2026SooHwan Eom, Jay Shim, Gwanhyeong Koo +4Cross-Modal Learning Mamba
Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models
Jun 3, 2026Ayushman Raghuvanshi, Thummaluru Siddartha Reddy, Sundeep Prabhakar Chepuri +1Spatiotemporal Representations Long-Range Temporal Dependencies
SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning
Jun 3, 2026Zhihua Wang, Yanping Li, Yizhang LiuFeature Matching Feature Pyramid Networks
Cross-Modality Feature Fusion Based on Structured State Space Duality for Multimodal Image Registration Network
Jun 2, 2026Zhikang Li, Yan Wu, Xin Hu +2Cross-Modal Fusion Image Registration
Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction
Jun 1, 2026Ruiyuan Li, Ajay Seth, Manon KokState Space Models Physics-Guided Deep Learning Framework
RPCASSM: Robust PCA State Space Model For Infrared Small Target Detection
Jun 1, 2026Pingping Liu, Aohua Li, Yubing Lu +3Infrared Small Target Detection State Space Models
Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics
May 31, 2026JR Huml, Jonathan Wenger, John P. CunninghamBayesian Neural Networks State Space Models
Harmonic: Hierarchical State Space Models for Efficient Long-Context Language Modeling
May 30, 2026Petr NyomaEfficient Long-Context Inference State Space Models
EnergyMamba: An Uncertainty-Aware Graph-Enhanced Selective State Space Model for Energy Consumption Prediction
May 30, 2026Dahai Yu, Rongchao Xu, Lin Jiang +1Electricity Price Forecasting Predictive Uncertainty
Oscillatory State-Space Models as Inductive Biases for Physics-Informed Neural PDE Solvers
May 29, 2026Abhishek Chandra, Taniya KapoorNeural Partial Differential Equation Solvers Conventional Physics-Informed Neural Networks
CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models
May 27, 2026Abhilash Durgam, Nyle Siddiqui, Jeffrey A. Chan-Santiago +3Electroencephalography Spatial Super-Resolution State Space Models
Universal Time Series Generation with Neural Controlled Differential Equations
May 27, 2026Torben Berndt, Elyes Farjallah, Leif Seute +3Synthetic Time Series Generative Models
DinoComplete: 3D Shape Completion with Distilled Semantic Priors and State Space Models
May 26, 2026Furkan Mert Algan, Eckehard SteinbachPrior Knowledge Omnix
Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation
May 24, 2026Aviral Chharia, Fernando De la TorreAnimatable 3D Human Avatars Feed-Forward 3D Gaussian Reconstruction
MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
May 24, 2026Da Zhang, Bingyu Li, Zhiyuan Zhao +3Time-Series Classification State Space Models
MambaDSF: Multi-Scale SSM with Dilated Feature Fusion for Sonar Small Target Detection
May 24, 2026Hui Lin, Jiayi Li, Jing Wang +1Forward-Looking Sonar Feature Pyramid Networks
Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models
May 24, 2026Lei Zheng, Peiqi Yu, Zengqi Peng +2Diffusion Policies Robot Planning
SO-Mamba: State-Ownership Mamba for Unrolled MRI Reconstruction
May 21, 2026Pengcheng Fang, Hongli Chen, Fangfang Tang +3Magnetic Resonance Imaging Reconstruction Mamba
Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models
May 20, 2026Kostas Tsampourakis, Víctor ElviraState Space Models Latent States
Deformba: Vision State Space Model with Adaptive State Fusion
May 20, 2026Hongyu Ke, Jack Morris, Yongkang Liu +4Self-Supervised Vision Transformers Progressive Attention Fusion
Efficient Learning of Deep State Space Models via Importance Smoothing
May 20, 2026John-Joseph Brady, Nikolas Nusken, Yunpeng LiState Space Models Variational Inference
Flash PD-SSM: Memory-Optimized Structured Sparse State-Space Models
May 18, 2026Aleksandar Terzić, Francesco Carzaniga, Nicolas Menet +4State Space Models Flash
Axial-Relation Guided Fusion State Space Model for Optical-Elevation Sensing Image Segmentation
May 16, 2026Feng Gao, Zhilin Jin, Yanhai Gan +2Remote Sensing Image Segmentation Cross-Modal Learning
Public-Decay Homomorphic State Space Models for Private Sequence Inference
May 15, 2026Luis BritoHomomorphic Encryption Sequence Modeling
Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification
May 15, 2026Mónika Farsang, Ramin Hasani, Daniela Rus +1Time-Series Classification State Space Models
3DTMDet: A Dual-Path Synergy Network of Transformer and SSM for 3D Object Detection in Point Clouds
May 15, 2026Bingwen Qiu, Yuan Liu, Junqi Bai +53D Object Detection Feature Pyramid Networks
Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models
May 14, 2026Po-Chien Luan, Wuyang Li, Yang Gao +1Trajectory Prediction Trajectory Prediction
Time-Varying Deep State Space Models for Sequences with Switching Dynamics
May 14, 2026Sanja Karilanova, Subhrakanti Dey, Ayça ÖzçelikkaleTime-Varying Systems State Space Models
SurgicalMamba: Dual-Path SSD with State Regramming for Online Surgical Phase Recognition
May 14, 2026Sukju Oh, Sukkyu SunSurgical Videos Motion-Focused Representations
A Novel Schur-Decomposition-Based Weight Projection Method for Stable State-Space Neural-Network Architectures
May 14, 2026Sergio Vanegas, Lasse Lensu, Fredy RuizDiscrete-Time Linear Systems System Identification
Interactive State Space Model with Cross-Modal Local Scanning for Depth Super-Resolution
May 12, 2026Chen Wu, Ling Wang, Zhuoran Zheng +4Depth Estimation Generative Super-Resolution
Selection, Not Fusion: Radar-Modulated State Space Models for Radar-Camera Depth Estimation
May 12, 2026Zhangcheng Hou, Tomoaki OhtsukiVision-Radar Fusion Depth Estimation
TCP-SSM: Efficient Vision State Space Models with Token-Conditioned Poles
May 12, 2026Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok KimState Space Models Self-Supervised Vision Transformers
Can Graphs Help Vision SSMs See Better?
May 11, 2026Dhruv Parikh, Anvitha Ramachandran, Haoyang Fan +3State Space Models Spatial Attention
TIDES: Implicit Time-Awareness in Selective State Space Models
May 10, 2026Taylan Soydan, Miguel A. Bessa, Dirk Mohr +1State Space Models Sequence Modeling
FRACTAL: SSM with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
May 9, 2026Mengqi Li, Wensheng Lin, Jinshuai Yang +1State Space Models Sequence Modeling
EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction
May 8, 2026Wei Yu, Yunhang QianImage Reconstruction Self-Supervised Vision Transformers
Online Goal Recognition using Path Signature and Dynamic Time Warping
May 8, 2026Douglas Tesch, Nathan Gavenski, Leonardo Amado +2Coverage Path Planning Multi-Object Tracking
Priming: Hybrid State Space Models From Pre-trained Transformers
May 8, 2026Aditya Chattopadhyay, Elvis Nunez, Prannay Kaul +6Generative Pretrained Transformers Priming
StreamPhy: Streaming Inference of High-Dimensional Physical Dynamics via State Space Models
May 8, 2026Panqi Chen, Yifan Sun, Shikai Fang +2Physics-Informed Machine Learning State Space Models
A Behavioral Framework for Data-Driven Modeling of Nonlinear Systems in Vector-Valued Reproducing Kernel Hilbert Spaces
May 8, 2026Boya Hou, Maxim RaginskySystem Identification Kernel Hilbert Spaces

Jun 22, 2026 · astro-ph.IMJ/K move · Enter open · S save

Stochastic Expectation Maximization for Robust State-Space Radio Interferometric Imaging

Nawel Arab, Mohammed Nabil El Korso, Isabelle Vin, Pascal Larzabal

†SATIE, ENS Paris-Saclay, Universit´e Paris-Saclay, France · ‡L2S, CentraleSupelec, Universit´e Paris-Saclay, France

State--space models provide a flexible framework for analyzing dynamical systems, yet they often rely on Gaussian assumptions that fail to capture heavy-tailed or outlier-prone measurement noise. We propose a robust estimation scheme for linear state--space models subject to compound-Gaussian noise, as encountered for instance in radio interferometry affected by radio-frequency interference (RFI). The method relies on a Stochastic Approximation Expectation--Maximization (SAEM) algorithm in which the standard E-step is replaced by Monte Carlo sampling of the latent states and noise texture through closed-form Gibbs updates, enabling tractable inference despite the heavy-tailed likelihood. Numerical experiments show that the proposed method significantly improves reconstruction fidelity and robustness to RFI, outperforming a Gaussian EM algorithm and even an oracle RTS smoother. These results highlight the benefits of heavy-tailed state--space modeling and SAEM-based inference in interference-dominated imaging scenarios.

State Space Models Expectation-Maximization Synthetic Aperture Radar Gaussian Noise Interference

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