Learning to Time-Decode in Spiking Neural Networks Through the
Information Bottleneck

Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck

2 June 2021

N. Skatchkovsky

Osvaldo Simeone

Papers citing "Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck"

16 / 16 papers shown

Title
Spiking Diffusion Models Jiahang Cao Hanzhong Guo Ziqing Wang Deming Zhou Hao Cheng Qiang Zhang Renjing Xu DiffM 45 3 0 29 Aug 2024
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck Yuzhen Ke Zoran Utkovski Mehdi Heshmati Osvaldo Simeone Johannes Dommel Sławomir Stańczak 37 2 0 02 Apr 2024
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
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 30 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 32 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
A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices Kai Malcolm Josue Casco-Rodriguez 30 15 0 19 Mar 2023
Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer Damjan Kalajdzievski Ximeng Mao Pascal Fortier-Poisson Guillaume Lajoie Blake A. Richards AI4TS 10 3 0 29 Nov 2022
Spiking Neural Network Decision Feedback Equalization Eike-Manuel Bansbach Alexander von Bank Laurent Schmalen 23 8 0 09 Nov 2022
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning Hanxuan Yang Ruike Zhang Qingchao Kong Wenji Mao GNN 22 3 0 24 Oct 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 33 17 0 29 Aug 2022
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference Jiechen Chen N. Skatchkovsky Osvaldo Simeone 29 36 0 13 Jun 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules Yuhan Helena Liu Arna Ghosh Blake A. Richards E. Shea-Brown Guillaume Lajoie 26 9 0 02 Jun 2022
Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning Bleema Rosenfeld Osvaldo Simeone Bipin Rajendran GAN 24 16 0 02 Nov 2021
Fully Spiking Variational Autoencoder Hiromichi Kamata Yusuke Mukuta Tatsuya Harada BDL DRL 30 41 0 26 Sep 2021
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 129 257 0 16 Dec 2016