Fully Spiking Variational Autoencoder

26 September 2021

Papers citing "Fully Spiking Variational Autoencoder"

25 / 25 papers shown

Title
$SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity$ SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity Shihao Zou Qingfeng Li Wei Ji Jingjing Li Yongkui Yang Guoqi Li Chao Dong 14 0 0 15 May 2025
Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism Linghao Feng Dongcheng Zhao Sicheng Shen Yi Zeng 67 0 0 31 Mar 2025
Spiking Diffusion Models Jiahang Cao Hanzhong Guo Ziqing Wang Deming Zhou Hao Cheng Qiang Zhang Renjing Xu DiffM 38 2 0 29 Aug 2024
NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks Xiao Li Xieyuanli Chen Ruibin Guo Yujie Wu Zongtan Zhou Fangwen Yu Huimin Lu 31 1 0 28 Aug 2024
When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron Xuerui Qiu Zheng Luan Zhaorui Wang Rui-jie Zhu 35 5 0 05 Jun 2024
Autonomous Driving with Spiking Neural Networks Rui-Jie Zhu Ziqing Wang Leilani H. Gilpin Jason Eshraghian 29 6 0 30 May 2024
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation Linghao Feng Dongcheng Zhao Sicheng Shen Yiting Dong Guobin Shen Yi Zeng 33 2 0 23 May 2024
Poisson Variational Autoencoder Hadi Vafaii Dekel Galor Jacob L. Yates DRL 35 2 0 23 May 2024
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods Chenlin Zhou Han Zhang Liutao Yu Yumin Ye Zhaokun Zhou Liwei Huang Zhengyu Ma Xiaopeng Fan Huihui Zhou Yonghong Tian 46 10 0 06 May 2024
SDiT: Spiking Diffusion Model with Transformer Shu Yang Hanzhi Ma Chengting Yu Aili Wang Er-ping Li DiffM 30 4 0 18 Feb 2024
Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness Yiming Bu Jiayang Liu Qinru Qiu 22 1 0 14 Feb 2024
Fully Spiking Denoising Diffusion Implicit Models Ryo Watanabe Yusuke Mukuta Tatsuya Harada DiffM 21 3 0 04 Dec 2023
ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling Qiugang Zhan Xiurui Xie Guisong Liu Malu Zhang DRL BDL DiffM 26 3 0 23 Oct 2023
Tensor Decomposition Based Attention Module for Spiking Neural Networks Haoyu Deng Rui-jie Zhu Xuerui Qiu Yule Duan Malu Zhang Liang-Jian Deng 27 13 0 23 Oct 2023
Event-Enhanced Multi-Modal Spiking Neural Network for Dynamic Obstacle Avoidance Yang Wang Bo Dong Yuji Zhang Yunduo Zhou Haiyang Mei Ziqi Wei Xin Yang 14 4 0 03 Oct 2023
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks Mingxuan Liu Jie Gan Rui Wen Tao Li Yongli Chen Hong Chen DiffM MQ 26 7 0 20 Aug 2023
Spiking Denoising Diffusion Probabilistic Models Jiahang Cao Ziqing Wang Hanzhong Guo Haotai Cheng Qiang Zhang Renjing Xu DiffM 22 19 0 29 Jun 2023
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes Gehua (Marcus) Ma Runhao Jiang Rui Yan Huajin Tang AI4TS 40 6 0 21 Jun 2023
Spiking Generative Adversarial Network with Attention Scoring Decoding Linghao Feng Dongcheng Zhao Yi Zeng 26 8 0 17 May 2023
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 25 10 0 01 Jan 2023
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning Hanxuan Yang Ruike Zhang Qingchao Kong Wenji Mao GNN 14 3 0 24 Oct 2022
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks Rui-Jie Zhu Tian-Jing Zhang Qihang Zhao Haoyu Deng Yule Duan Liang-Jian Deng AI4TS 31 55 0 21 Jun 2022
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models Artem R. Muliukov Laurent Rodriguez Benoit Miramond Lyes Khacef Joachim Schmidt Quentin Berthet A. Upegui 11 6 0 06 Jan 2022
Rescuing neural spike train models from bad MLE Diego M. Arribas Yuan Zhao Il Memming Park 22 8 0 23 Oct 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks Chankyu Lee Adarsh Kosta A. Z. Zhu Kenneth Chaney Kostas Daniilidis Kaushik Roy 81 160 0 14 Mar 2020