ICLR Poster "state space models" Papers
10 papers found
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
Lambda-Skip Connections: the architectural component that prevents Rank Collapse
Federico Arangath Joseph, Jerome Sieber, Melanie Zeilinger et al.
ICLR 2025posterarXiv:2410.10609
2
citations
P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS
Malyaban Bal, Abhronil Sengupta
ICLR 2025posterarXiv:2406.02923
11
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
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Liliang Ren, Yang Liu, Yadong Lu et al.
ICLR 2025posterarXiv:2406.07522
118
citations
Sparse Learning for State Space Models on Mobile
Xuan Shen, Hangyu Zheng, Yifan Gong et al.
ICLR 2025poster
8
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