Saved in:
| Main Authors: | Mabrok, Mohamed, Zafari, Yalda |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.17970 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
X-VMamba: Explainable Vision Mamba
by: Mabrok, Mohamed A., et al.
Published: (2025)
by: Mabrok, Mohamed A., et al.
Published: (2025)
Transformers-based architectures for stroke segmentation: A review
by: Zafari-Ghadim, Yalda, et al.
Published: (2024)
by: Zafari-Ghadim, Yalda, et al.
Published: (2024)
A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion
by: Zafari, Yalda, et al.
Published: (2025)
by: Zafari, Yalda, et al.
Published: (2025)
MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
by: Zafari, Yalda, et al.
Published: (2025)
by: Zafari, Yalda, et al.
Published: (2025)
Deep models for stroke segmentation: do complex architectures always perform better?
by: Zafari-Ghadim, Yalda, et al.
Published: (2024)
by: Zafari-Ghadim, Yalda, et al.
Published: (2024)
Latent Semantic Manifolds in Large Language Models
by: Mabrok, Mohamed A.
Published: (2026)
by: Mabrok, Mohamed A.
Published: (2026)
HamVision: Hamiltonian Dynamics as Inductive Bias for Medical Image Analysis
by: Mabrok, Mohamed A
Published: (2026)
by: Mabrok, Mohamed A
Published: (2026)
MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction
by: Hamad, Mohamed, et al.
Published: (2025)
by: Hamad, Mohamed, et al.
Published: (2025)
Flatten Wisely: How Patch Order Shapes Mamba-Powered Vision for MRI Segmentation
by: Hardan, Osama, et al.
Published: (2025)
by: Hardan, Osama, et al.
Published: (2025)
Bayesian Despeckling of Structured Sources
by: Zafari, Ali, et al.
Published: (2025)
by: Zafari, Ali, et al.
Published: (2025)
Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume
by: Zhang, Zeduo, et al.
Published: (2024)
by: Zhang, Zeduo, et al.
Published: (2024)
The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
by: Mabrok, Mohamed
Published: (2026)
by: Mabrok, Mohamed
Published: (2026)
From Generalization Analysis to Optimization Designs for State Space Models
by: Liu, Fusheng, et al.
Published: (2024)
by: Liu, Fusheng, et al.
Published: (2024)
State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
by: Kang, Wonjun, et al.
Published: (2025)
by: Kang, Wonjun, et al.
Published: (2025)
Tensor State Space-based Dynamic Multilayer Network Modeling
by: Lan, Tian, et al.
Published: (2025)
by: Lan, Tian, et al.
Published: (2025)
PerfMamba: Performance Analysis and Pruning of Selective State Space Models
by: Asif, Abdullah Al, et al.
Published: (2025)
by: Asif, Abdullah Al, et al.
Published: (2025)
A Graph Neural Network Approach for Localized and High-Resolution Temperature Forecasting
by: El-Shawa, Joud, et al.
Published: (2025)
by: El-Shawa, Joud, et al.
Published: (2025)
Sequential Estimation of Gaussian Process-based Deep State-Space Models
by: Liu, Yuhao, et al.
Published: (2023)
by: Liu, Yuhao, et al.
Published: (2023)
Federated Granger Causality Learning for Interdependent Clients with State Space Representation
by: Mohanty, Ayush, et al.
Published: (2025)
by: Mohanty, Ayush, et al.
Published: (2025)
Fine-Tuned Language Models as Space Systems Controllers
by: Zucchelli, Enrico M., et al.
Published: (2025)
by: Zucchelli, Enrico M., et al.
Published: (2025)
Spectral State Space Models
by: Agarwal, Naman, et al.
Published: (2023)
by: Agarwal, Naman, et al.
Published: (2023)
BarcodeMamba: State Space Models for Biodiversity Analysis
by: Gao, Tiancheng, et al.
Published: (2024)
by: Gao, Tiancheng, et al.
Published: (2024)
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention
by: Honarpisheh, Arya, et al.
Published: (2025)
by: Honarpisheh, Arya, et al.
Published: (2025)
Analysis of Long Range Dependency Understanding in State Space Models
by: Ravikumar, Srividya, et al.
Published: (2026)
by: Ravikumar, Srividya, et al.
Published: (2026)
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
by: Park, Byoungwoo, et al.
Published: (2024)
by: Park, Byoungwoo, et al.
Published: (2024)
A Decomposition-based State Space Model for Multivariate Time-Series Forecasting
by: Nagashima, Shunya, et al.
Published: (2026)
by: Nagashima, Shunya, et al.
Published: (2026)
Systolic Array-based Accelerator for Structured State-Space Models
by: Raja, Shiva, et al.
Published: (2025)
by: Raja, Shiva, et al.
Published: (2025)
State Space Models as Foundation Models: A Control Theoretic Overview
by: Alonso, Carmen Amo, et al.
Published: (2024)
by: Alonso, Carmen Amo, et al.
Published: (2024)
Chemical Language Models for Natural Products: A State-Space Model Approach
by: Wang, Ho-Hsuan, et al.
Published: (2026)
by: Wang, Ho-Hsuan, et al.
Published: (2026)
A State-Space Approach to Nonstationary Discriminant Analysis
by: Xie, Shuilian, et al.
Published: (2025)
by: Xie, Shuilian, et al.
Published: (2025)
COBRA: Catastrophic Bit-flip Reliability Analysis of State-Space Models
by: Das, Sanjay, et al.
Published: (2025)
by: Das, Sanjay, et al.
Published: (2025)
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
by: Vermani, Ayesha, et al.
Published: (2024)
by: Vermani, Ayesha, et al.
Published: (2024)
Hierarchical Spatio-Temporal State-Space Modeling for fMRI Analysis
by: Wei, Yuxiang, et al.
Published: (2024)
by: Wei, Yuxiang, et al.
Published: (2024)
Sparse Mamba: Introducing Controllability, Observability, And Stability To Structural State Space Models
by: Hamdan, Emadeldeen, et al.
Published: (2024)
by: Hamdan, Emadeldeen, et al.
Published: (2024)
Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning
by: Mohamed, Nazal, et al.
Published: (2026)
by: Mohamed, Nazal, et al.
Published: (2026)
The UNDO Flip-Flop: A Controlled Probe for Reversible Semantic State Management in State Space Model
by: Zhou, Hongxu
Published: (2026)
by: Zhou, Hongxu
Published: (2026)
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis
by: Khoshkhahtinat, Atefeh, et al.
Published: (2024)
by: Khoshkhahtinat, Atefeh, et al.
Published: (2024)
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
by: Ramesh, Shyam Sundhar, et al.
Published: (2023)
by: Ramesh, Shyam Sundhar, et al.
Published: (2023)
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
by: Ren, Liliang, et al.
Published: (2024)
by: Ren, Liliang, et al.
Published: (2024)
Learning Optimal Distributionally Robust Stochastic Control in Continuous State Spaces
by: Wang, Shengbo, et al.
Published: (2024)
by: Wang, Shengbo, et al.
Published: (2024)
Similar Items
-
X-VMamba: Explainable Vision Mamba
by: Mabrok, Mohamed A., et al.
Published: (2025) -
Transformers-based architectures for stroke segmentation: A review
by: Zafari-Ghadim, Yalda, et al.
Published: (2024) -
A Hybrid CNN-VSSM model for Multi-View, Multi-Task Mammography Analysis: Robust Diagnosis with Attention-Based Fusion
by: Zafari, Yalda, et al.
Published: (2025) -
MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
by: Zafari, Yalda, et al.
Published: (2025) -
Deep models for stroke segmentation: do complex architectures always perform better?
by: Zafari-Ghadim, Yalda, et al.
Published: (2024)