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State Space Models

Papers

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Showing 226–250 of 923 papers

TitleStatusHype
PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power SystemsCode1
The Computational Limits of State-Space Models and Mamba via the Lens of Circuit Complexity—0
NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?Code1
TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories—0
Learning Mamba as a Continual Learner—0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models—0
Look Every Frame All at Once: Video-Ma^2mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing—0
Marconi: Prefix Caching for the Era of Hybrid LLMs—0
FTMoMamba: Motion Generation with Frequency and Text State Space Models—0
BadScan: An Architectural Backdoor Attack on Visual State Space Models—0
Attamba: Attending To Multi-Token StatesCode1
Abnormality-Driven Representation Learning for Radiology Imaging—0
MobileMamba: Lightweight Multi-Receptive Visual Mamba NetworkCode3
State-Space Large Audio Language Models—0
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks—0
Mamba-CL: Optimizing Selective State Space Model in Null Space for Continual Learning—0
Fast convolution algorithm for state space models—0
OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction—0
EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space DualityCode2
Recursive Gaussian Process State Space ModelCode1
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation—0
Hymba: A Hybrid-head Architecture for Small Language Models—0
STREAM: A Universal State-Space Model for Sparse Geometric Data—0
Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach—0
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