LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre
Memory Units

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units

International Conference on Learning Representations (ICLR), 2024

20 January 2024

Peter A. Beerel

ArXiv (abs)PDF HTML Github (13★)

Papers citing "LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units"

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Title
STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking Sicheng Shen Dongcheng Zhao Linghao Feng Zeyang Yue Jindong Li Tenglong Li Guobin Shen Yi Zeng 205 2 0 24 Dec 2025
Parallel Delayed Memory Units for Enhanced Temporal Modeling in Biomedical and Bioacoustic Signal AnalysisIEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2025 Pengfei Sun Wenyu Jiang P. Devos Dick Botteldooren 16 1 0 01 Dec 2025
SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition Jiaqi Wang Liutao Yu Xiongri Shen Sihang Guo Chenlin Zhou Leilei Zhao Yi Zhong Zhengyu Ma Zhiguo Zhang 92 0 0 11 Nov 2025
Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling Dehao Zhang Malu Zhang Shuai Wang Jingya Wang Wenjie Wei Zeyu Ma Guoqing Wang Yang Yang Haizhou Li 180 2 0 21 Sep 2025
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning Biswadeep Chakraborty Saibal Mukhopadhyay 372 0 0 02 Apr 2025
Scaling Up Resonate-and-Fire Networks for Fast Deep Learning Thomas E. Huber J. Lecomte Borislav Polovnikov Axel von Arnim 236 2 0 01 Apr 2025
Exploiting Label Skewness for Spiking Neural Networks in Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Di Yu Xin Du Linshan Jiang Shunwen Bai Wentao Tong FedML 353 0 0 23 Dec 2024
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning Yan Zhong Ruoyu Zhao Chao Wang Qinghai Guo Jianguo Zhang Zhichao Lu Luziwei Leng 200 5 0 07 Oct 2024
PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks Yulong Huang Zunchang Liu Changchun Feng Xiaopeng Lin Hongwei Ren Haotian Fu Yue Zhou Hong Xing Bojun Cheng 232 4 0 04 Oct 2024
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024 Shuaijie Shen Chao Wang Renzhuo Huang Yan Zhong Qinghai Guo Zhichao Lu Jianguo Zhang Luziwei Leng 249 16 0 27 Aug 2024
Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices Vittorio Fra Benedetto Leto Andrea Pignata Enrico Macii Gianvito Urgese 217 1 0 04 Jul 2024