"state space models" Papers
34 papers found
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
Jingwei Zhang, Anh Tien Nguyen, Xi Han et al.
A Structure-aware and Motion-adaptive Framework for 3D Human Pose Estimation with Mamba
Ye Lu, Jie Wang, Jianjun Gao et al.
Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models
Fusheng Liu, Qianxiao Li
Deep Space Weather Model: Long-Range Solar Flare Prediction from Multi-Wavelength Images
Shunya Nagashima, Komei Sugiura
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Wenlong Wang, Ivana Dusparic, Yucheng Shi et al.
EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling
Jia-Hua Lee, Bor-Jiun Lin, Wei-Fang Sun et al.
EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation
Sheng Wu, Lin Jin, Hui Feng et al.
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation
Sen Wang, Le Wang, Sanping Zhou et al.
High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimation
Runyang Feng, Hyung Jin Chang, Tze Ho Elden Tse et al.
Hymba: A Hybrid-head Architecture for Small Language Models
Xin Dong, Yonggan Fu, Shizhe Diao et al.
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
Fei Xie, Jiahao Nie, Yujin Tang et al.
MambaIRv2: Attentive State Space Restoration
Hang Guo, Yong Guo, Yaohua Zha et al.
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
Kaiwei Zhang, Dandan Zhu, Xiongkuo Min et al.
MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction
Yusuke Yoshiyasu, Leyuan Sun, Ryusuke Sagawa
OuroMamba: A Data-Free Quantization Framework for Vision Mamba
Akshat Ramachandran, Mingyu Lee, Huan Xu et al.
PASS: Path-selective State Space Model for Event-based Recognition
Jiazhou Zhou, Kanghao Chen, Lei Zhang et al.
Revisiting Convolution Architecture in the Realm of DNA Foundation Models
Yu Bo, Weian Mao, Daniel Shao et al.
RFMamba: Frequency-Aware State Space Model for RF-Based Human-Centric Perception
Rui Zhang, Ruixu Geng, Yadong Li et al.
SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures
Hui Liu, Chen Jia, Fan Shi et al.
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
Yunxiang Fu, Meng Lou, Yizhou Yu
Spectral State Space Model for Rotation-Invariant Visual Representation Learning
Sahar Dastani, Ali Bahri, Moslem Yazdanpanah et al.
Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports
Yi Xu, Yun Fu
State Space Models are Provably Comparable to Transformers in Dynamic Token Selection
Naoki Nishikawa, Taiji Suzuki
ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels
Benjamin Spector, Simran Arora, Aaryan Singhal et al.
VSSD: Vision Mamba with Non-Causal State Space Duality
Yuheng Shi, Mingjia Li, Minjing Dong et al.
Zebra-Llama: Towards Extremely Efficient Hybrid Models
Mingyu Yang, Mehdi Rezagholizadeh, Guihong Li et al.
From Generalization Analysis to Optimization Designs for State Space Models
Fusheng Liu, Qianxiao Li
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman et al.
Motion Mamba: Efficient and Long Sequence Motion Generation
Zeyu Zhang, Akide Liu, Ian Reid et al.
Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
Tijin Yan, Hengheng Gong, Yongping He et al.
Repeat After Me: Transformers are Better than State Space Models at Copying
Samy Jelassi, David Brandfonbrener, Sham Kakade et al.
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
Zicheng Liu, Siyuan Li, Li Wang et al.
VideoMamba: State Space Model for Efficient Video Understanding
Kunchang Li, Xinhao Li, Yi Wang et al.
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Lianghui Zhu, Bencheng Liao, Qian Zhang et al.