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State Space Models

Papers

Showing 251275 of 923 papers

TitleStatusHype
Bi-Mamba: Towards Accurate 1-Bit State Space Models0
FlowScope: Enhancing Decision Making by Time Series Forecasting based on Prediction Optimization using HybridFlow Forecast Framework0
Multimodal Instruction Tuning with Hybrid State Space Models0
MambaXCTrack: Mamba-based Tracker with SSM Cross-correlation and Motion Prompt for Ultrasound Needle Tracking0
AEROMamba: An efficient architecture for audio super-resolution using generative adversarial networks and state space modelsCode2
Zero-Shot Temporal Resolution Domain Adaptation for Spiking Neural Networks0
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image GenerationCode1
A scalable generative model for dynamical system reconstruction from neuroimaging dataCode0
Layer-Adaptive State Pruning for Deep State Space ModelsCode0
Recursive Learning of Asymptotic Variational Objectives0
Weighted Null Space Fitting (WNSF): A Link between The Prediction Error Method and Subspace Identification0
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs0
In-Context Learned Equalization in Cell-Free Massive MIMO via State-Space Models0
SambaMixer: State of Health Prediction of Li-ion Batteries using Mamba State Space ModelsCode1
Fusion of Information in Multiple Particle Filtering in the Presence of Unknown Static Parameters0
Dynamical similarity analysis can identify compositional dynamics developing in RNNsCode0
Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection LayersCode1
SepMamba: State-space models for speaker separation using MambaCode1
FACTS: A Factored State-Space Framework For World ModellingCode1
ThunderKittens: Simple, Fast, and Adorable AI KernelsCode7
Multi-Agent Reinforcement Learning with Selective State-Space Models0
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time SeriesCode2
Taipan: Efficient and Expressive State Space Language Models with Selective Attention0
START: A Generalized State Space Model with Saliency-Driven Token-Aware TransformationCode1
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