An Energy-Efficient Bayesian Neural Network Implementation Using Stochastic Computing Method

Author:

Jia Xiaotao1ORCID,Gu Huiyi2,Liu Yuhao2ORCID,Yang Jianlei3ORCID,Wang Xueyan1ORCID,Pan Weitao4,Zhang Youguang2,Cotofana Sorin5ORCID,Zhao Weisheng1ORCID

Affiliation:

1. School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China

2. School of Electronic and Information Engineering, Beihang University, Beijing, China

3. BDBC, School of Computer Science and Engineering, Beihang University, Beijing, China

4. State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, China

5. Computer Engineering Laboratory, Delft University of Technology, Delft, The Netherlands

Funder

National Natural Science Foundation of China

111 Talent Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fast and Scaled Counting-Based Stochastic Computing Divider Design;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-08

2. Probabilistic Bayesian Neural Networks for Efficient Inference;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12

3. On the Robustness of Bayesian Neural Networks to Adversarial Attacks;IEEE Transactions on Neural Networks and Learning Systems;2024

4. Enabling Efficient Bayesian Convolutional Neural Network with Feature Pre-extraction and Pre-pooling Strategies;2023 5th International Conference on Circuits and Systems (ICCS);2023-10-27

5. Delicately Reinforced $k$-Nearest Neighbor Classifier Combined With Expert Knowledge Applied to Abnormity Forecast in Electrolytic Cell;IEEE Transactions on Neural Networks and Learning Systems;2023

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