"state space models" Papers

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Sports-Traj: A Unified Trajectory Generation Model for Multi-Agent Movement in Sports

Yi Xu, Yun Fu

ICLR 2025oralarXiv:2405.17680

State Space Models are Provably Comparable to Transformers in Dynamic Token Selection

Naoki Nishikawa, Taiji Suzuki

ICLR 2025arXiv:2405.19036

Stuffed Mamba: Oversized States Lead to the Inability to Forget

Yingfa Chen, Xinrong Zhang, Shengding Hu et al.

ThunderKittens: Simple, Fast, and $\textit{Adorable}$ Kernels

Benjamin Spector, Simran Arora, Aaryan Singhal et al.

TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses

Sahar Dastani, Ali Bahri, Gustavo Vargas Hakim et al.

NEURIPS 2025arXiv:2509.22813

VSSD: Vision Mamba with Non-Causal State Space Duality

Yuheng Shi, Mingjia Li, Minjing Dong et al.

ICCV 2025arXiv:2407.18559

Zebra-Llama: Towards Extremely Efficient Hybrid Models

Mingyu Yang, Mehdi Rezagholizadeh, Guihong Li et al.

NEURIPS 2025arXiv:2505.17272

From Generalization Analysis to Optimization Designs for State Space Models

Fusheng Liu, Qianxiao Li

ICML 2024oralarXiv:2405.02670

Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling

Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman et al.

ICML 2024oralarXiv:2402.10211

Motion Mamba: Efficient and Long Sequence Motion Generation

Zeyu Zhang, Akide Liu, Ian Reid et al.

ECCV 2024arXiv:2403.07487

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.

ICML 2024arXiv:2402.01032

Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences

Zicheng Liu, Siyuan Li, Li Wang et al.

ICML 2024arXiv:2406.08128

VideoMamba: State Space Model for Efficient Video Understanding

Kunchang Li, Xinhao Li, Yi Wang et al.

ECCV 2024arXiv:2403.06977

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Lianghui Zhu, Bencheng Liao, Qian Zhang et al.

ICML 2024arXiv:2401.09417

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