ICLR "state space models" Papers

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Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models

Fusheng Liu, Qianxiao Li

ICLR 2025oralarXiv:2411.19455
6
citations

Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient

Wenlong Wang, Ivana Dusparic, Yucheng Shi et al.

ICLR 2025posterarXiv:2410.08893
3
citations

Hymba: A Hybrid-head Architecture for Small Language Models

Xin Dong, Yonggan Fu, Shizhe Diao et al.

ICLR 2025posterarXiv:2411.13676
55
citations

Revisiting Convolution Architecture in the Realm of DNA Foundation Models

Yu Bo, Weian Mao, Daniel Shao et al.

ICLR 2025posterarXiv:2502.18538
4
citations

RFMamba: Frequency-Aware State Space Model for RF-Based Human-Centric Perception

Rui Zhang, Ruixu Geng, Yadong Li et al.

ICLR 2025poster
2
citations

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

Yi Xu, Yun Fu

ICLR 2025oralarXiv:2405.17680
10
citations

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

Naoki Nishikawa, Taiji Suzuki

ICLR 2025posterarXiv:2405.19036
6
citations

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

Benjamin Spector, Simran Arora, Aaryan Singhal et al.

ICLR 2025poster
3
citations