Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural
Networks

Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks

6 October 2021

Qinghai Guo

Pontus Stenetorp

Timoleon Moraitis

Papers citing "Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks"

12 / 12 papers shown

Title
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks Changze Lv Yansen Wang Dongqi Han Xiaoqing Zheng Xuanjing Huang Dongsheng Li AI4TS TPM 19 4 0 02 Feb 2024
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks Zihao Wang Zhen Wu 18 3 0 15 Jan 2024
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes Gehua (Marcus) Ma Runhao Jiang Rui Yan Huajin Tang AI4TS 32 6 0 21 Jun 2023
TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping Kevin Wilkinghoff Alessia Cornaggia AI4TS 17 2 0 18 May 2023
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems Jason Yik Korneel Van den Berghe Douwe den Blanken Younes Bouhadjar Maxime Fabre ... Fatima Tuz Zohora Charlotte Frenkel Vijay Janapa Reddi Charlotte Frenkel Vijay Janapa Reddi 23 17 0 10 Apr 2023
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks Zhanglu Yan Jun Zhou Weng-Fai Wong 12 2 0 27 Oct 2022
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs Gourav Datta Haoqing Deng R. Aviles P. Beerel 85 10 0 23 Oct 2022
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation Jane Lee Saeid Haghighatshoar Amin Karbasi 14 0 0 18 Oct 2022
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks Timoleon Moraitis Dmitry Toichkin Adrien Journé Yansong Chua Qinghai Guo AAML BDL 65 17 0 12 Jul 2021
PonderNet: Learning to Ponder Andrea Banino Jan Balaguer Charles Blundell PINN AIMat 92 80 0 12 Jul 2021
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 111 477 0 26 Mar 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,816 0 13 Jun 2015